Relevant bibliographies by topics / Rehabilitation Glove

Academic literature on the topic 'Rehabilitation Glove'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Rehabilitation Glove.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Rehabilitation Glove"

1

Reddy, Raja Vikram, and Aliasgar Barodawala. "Hand Rehabilitation Glove." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 1392–96. http://dx.doi.org/10.31142/ijtsrd17028.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ilyas, Salman Muhammad, Syed Faraz Jawed, Choudhary Sobhan Shakeel, Luqman Hashim Bawany, and Rumaisa Amin. "DESIGN AND DEVELOPMENT OF A STROKE REHABILITATION GLOVE FOR MEASURING AND MONITORING HAND MOTIONS." Pakistan Journal of Rehabilitation 11, no. 2 (July 7, 2022): 167–78. http://dx.doi.org/10.36283/pjr.zu.11.2/023.

Full text
Abstract:
Muscular weakness tends to increase very rapidly due to various medical illnesses such as stroke, paralysis, fibromyalgia, etc. In order to keep tracks of the rehabilitative progress of patients who are suffering from such diseases, it is necessary to acquire data pertaining to finger movements including flexion and extension. Along with range of motions of proximal interphalangeal (PIP), distal interphalangeal (DIP) and meta-capo phalangeal joints, pinching strength is also vital in assessing the progress of rehabilitative therapies. Hence, our objective is to develop an assistive technology in the form of a smart glove comprising of flex and force sensors for measuring flexion and extension movements as well as the pinching strength. To the best of author’s knowledge, commercially available rehabilitation gloves are expensive and have some limitations such as being non-portable, having an antenna mount on the gloves facing upward and so on. The smart glove was able to measure the flexion and extension of finger movements and pinch strength with low-power requirements and low cost associated with production. The flexion and extension of finger movements along with pinching strength of stroke survivors was measured with the aid of the glove and showed promising outcomes. Through the results achieved by our developed glove, we were able to analyze the rehabilitative progress of stroke survivors. Moreover, the data is monitored continuously through liquid crystal display for rehabilitation purposes. Notably, this low cost glove was designed with the aid of flex sensors and force sensors that enabled the effective measurement of flexion, extension and pinching strength of stroke survivors.
APA, Harvard, Vancouver, ISO, and other styles
3

Ahmed, Yahya, Auns Al-Neami, and Saleem Lateef. "Robotic Glove for Rehabilitation Purpose: Review." 3D SCEEER Conference sceeer, no. 3d (July 1, 2020): 86–92. http://dx.doi.org/10.37917/ijeee.sceeer.3rd.12.

Full text
Abstract:
Rehabilitation robots have become one of the main technical instruments that Treat disorder patients in the biomedical engineering field. The robotic glove for the rehabilitation is basically made of specialized materials which can be designed to help the post-stroke patients. In this paper, a review of the different types of robotic glove for Rehabilitation have been discussed and summarized. This study reviews a different mechanical system of robotic gloves in previous years. The selected studies have been classified into four types according to the Mechanical Design: The first type is a tendon-driven robotic glove. The second type of robotic glove works with a soft actuator as a pneumatic which is operated by air pressure that passes through a plastic pipe, pressure valves, and air compressor. The third type is the exoskeleton robotic gloves this type consists of a wearable mechanical design that can used a finger-based sensor to measure grip strength or is used in interactive video applications. And the fourth type is the robotic glove with a liner actuator this type consists of a tape placed on the fingers and connected to linear actuators to open and close the fingers during the rehabilitation process.
APA, Harvard, Vancouver, ISO, and other styles
4

Taylor, Jamie, and Kevin Curran. "Glove-Based Technology in Hand Rehabilitation." International Journal of Innovation in the Digital Economy 6, no. 1 (January 2015): 29–49. http://dx.doi.org/10.4018/ijide.2015010103.

Full text
Abstract:
Injuries to the hand are more common than those of any other body region and can have considerable financial, time-measured and psychological impact on not only the victim but the community as a whole. Hand rehabilitation aims to return people to their pre-injury roles and occupations and has proved largely successful in doing so with the potential for technology to improve these results further. However, most technology used in hand rehabilitation is based on expensive and non-durable glove-based systems and issues with accuracy are common among those which are not glove-based. The authors outline an accurate, affordable and portable solution wherein the authors use the Leap Motion as a tool for hand rehabilitation. User feedback will be given primarily through an animated 3d hand model as the user performs rehabilitative exercises. Exercise results will be recorded for later viewing by patients and clinicians. The system will also include Gamification aspects, techniques which (while proven to increase participation) have seen little to no use in hand-rehabilitation systems.
APA, Harvard, Vancouver, ISO, and other styles
5

Seçkin, Mine, and Necla Yaman Turan. "Rehabilitation Glove Device Design." Journal of Engineering Technology and Applied Sciences 3, no. 1 (May 30, 2018): 75–81. http://dx.doi.org/10.30931/jetas.391297.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Guo, Kai, Senhao Zhang, Shasha Zhao, and Hongbo Yang. "Design and Manufacture of Data Gloves for Rehabilitation Training and Gesture Recognition Based on Flexible Sensors." Journal of Healthcare Engineering 2021 (December 7, 2021): 1–9. http://dx.doi.org/10.1155/2021/6359403.

Full text
Abstract:
This work takes the production and usage scenarios of the data glove as the research object and studies the method of applying the flexible sensor to the data glove. Many studies are also devoted to exploring the transplantation of flexible sensors to data gloves. However, this type of research still lacks the display of specific application scenarios such as gesture recognition or hand rehabilitation training. A small amount of experimental data and theoretical analysis are difficult to promote the development of flexible sensors and flexible data gloves design schemes. Therefore, this study uses the self-made flexible sensor of the research group as the core sensing unit to produce a flexible data glove to monitor the bending changes of the knuckles and then use it for simple gesture recognition and rehabilitation training.
APA, Harvard, Vancouver, ISO, and other styles
7

Aghil, T., S. Rahul, S. Buvan Kumaar, Yati Vijay, S. Tharun Kumar, and B. Sidhharth. "A Futuristic Approach for Stroke Rehabilitation Using Smart Gloves." Journal of Physics: Conference Series 2115, no. 1 (November 1, 2021): 012025. http://dx.doi.org/10.1088/1742-6596/2115/1/012025.

Full text
Abstract:
Abstract Stroke is a serious, common, and assured as a global health issue across the globe. Stroke is one of most common cause of death and is a leading cause of impairment in adults. Despite all impressive progression and development in the treatment of stroke, without effective modes of care most stroke patients care will continue to rely on physiotherapy involvement. The purpose of this paper is to explain about a new and better device which helps patients affected by stroke who are not able to move their hands. To rehabilitate stroke survivors, the proposed prototype is designed such that it is a portable smart glove which helps users to regain their muscle memory by continuously contracting and releasing their muscles without the involvement of physiotherapist. This device/glove also consists of sensors that collect and send data to UI using ESP32. This UI is available for the doctors to see the statistics of glove usage and monitors the patient’s conditions. The Glove uses a soft robotics approach to replicate the human hand. The Glove initially aims to contract and release all the muscles in the hand in regular intervals of time. This muscle movement aims to build lost muscle memory.
APA, Harvard, Vancouver, ISO, and other styles
8

Zhu, Yinlong, Weizhuang Gong, Kaimei Chu, Xu Wang, Zhiqiang Hu, and Haijun Su. "A Novel Wearable Soft Glove for Hand Rehabilitation and Assistive Grasping." Sensors 22, no. 16 (August 21, 2022): 6294. http://dx.doi.org/10.3390/s22166294.

Full text
Abstract:
In order to assist patients with finger rehabilitation training and grasping objects, we propose a new type of soft rehabilitation gloves (SRGs), which has both flexion/extension and abduction/adduction movement function for every finger. This paper describes the structure design of the bending actuator and rotating actuator, the fabrication process of the soft actuator, and the implementation of the soft wearable gloves based on a fabric glove. FEM simulation analysis and experiments were conducted to characterize the mechanical behavior and performance of the soft glove in terms of the angle output and force output upon pressurization. To operate this soft wearable glove, we designed the hardware system for SRGs with a flexible strain sensor and force sensor in the loop and introduced a force/position hybrid PID control algorithm to regulate the pressure inputted. Experiment evaluation focused on rehabilitation training gestures; motions and the precise grasping assistance function were executed. The rotating actuator between each finger can supply abduction/adduction motion manner for patients, which will improve rehabilitation effect. The experimental results demonstrated that the developed SRGs have the potential to improve hand movement freedom and the range of grasping successfully.
APA, Harvard, Vancouver, ISO, and other styles
9

Rogriguez, Natalia, Matteo Sangalli, Monika Smukowska, and Mario Covarrubias. "Haptic Feedback Glove for Arm Rehabilitation." Computer-Aided Design and Applications 19, no. 6 (March 9, 2022): 1143–53. http://dx.doi.org/10.14733/cadaps.2022.1143-1153.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Connolly, James, Joan Condell, Kevin Curran, and Philip Gardiner. "Improving Data Glove Accuracy and Usability Using a Neural Network When Measuring Finger Joint Range of Motion." Sensors 22, no. 6 (March 14, 2022): 2228. http://dx.doi.org/10.3390/s22062228.

Full text
Abstract:
Data gloves capable of measuring finger joint kinematics can provide objective range of motion information useful for clinical hand assessment and rehabilitation. Data glove sensors are strategically placed over specific finger joints to detect movement of the wearers’ hand. The construction of the sensors used in a data glove, the number of sensors used, and their positioning on each finger joint are influenced by the intended use case. Although most glove sensors provide reasonably stable linear output, this stability is influenced externally by the physical structure of the data glove sensors, as well as the wearer’s hand size relative to the data glove, and the elastic nature of materials used in its construction. Data gloves typically require a complex calibration method before use. Calibration may not be possible when wearers have disabled hands or limited joint flexibility, and so limits those who can use a data glove within a clinical context. This paper examines and describes a unique approach to calibration and angular calculation using a neural network that improves data glove repeatability and accuracy measurements without the requirement for data glove calibration. Results demonstrate an overall improvement in data glove measurements. This is particularly relevant when the data glove is used with those who have limited joint mobility and cannot physically complete data glove calibration.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Rehabilitation Glove"

1

Henriksson, Michael, and Michael Fransson. "Force-Sensing Rehabilitation Glove : A tool to facilitate rehabilitation of reduced hand strength." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254287.

Full text
Abstract:
This thesis examines how the pressure sensors can be used in rehabilitation for patients with weakened hand strength. The rehabilitation process usually contains everyday tasks to evaluate the patient’s capability and the tools for this part of the rehabilitation process are few. The challenges will be to find a suitable sensor for the application and how to implement the sensor in a versatile prototype with direct feedback for the user. To solve this problem, research will be conducted on different pressure sensor types to determine the most suitable one for this implementation. The resulting prototype is utilizing a force sensing resistor (FSR) mounted on a glove together with a module that presents direct feedback to the patient and caretaker. The glove has pressure sensors in each fingertip to detect the applied force for each individual finger when the patient grips an object. To present the feedback, a visual interface is created in the form of a hand with a LED for each finger, which provides direct visual feedback and a display to present numerical data.
Denna avhandling undersöker hur trycksensorer kan användas vid rehabilitering av patienter med försvagad handstyrka. Rehabiliteringsprocessen innehåller vanligtvis vardagliga uppgifter för att utvärdera patientens förmåga och nuvarande hjälpmedel är få. Utmaningarna är att hitta en lämplig sensor för applikationen och hur man kan implementera sensorn i en mångsidig prototyp med en direkt återkoppling för användaren. För att lösa detta problem kommer forskning att genomföras på olika typer av trycksensorer. Detta görs för att kunna bestämma den mest lämpade sensortypen för denna implementering. Den resulterande prototypen består av en handske med kraft känsliga resistorer (FSR) och en separat modul som ger direkt återkoppling till patienten och vårdtagaren. Handsken har en sensor i varje fingertopp för att detektera applicerad kraft för varje enskilt finger när patienten greppar ett föremål. För att presentera data från sensorerna skapas ett visuellt gränssnitt. Gränssnittet är i form av en hand med lysdioder i varje finger för direkt återkoppling och en bildskärm för att presentera numeriska data.
APA, Harvard, Vancouver, ISO, and other styles
2

Chauhan, Raghuraj Jitendra. "Towards Naturalistic Exoskeleton Glove Control for Rehabilitation and Assistance." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/104113.

Full text
Abstract:
This thesis presents both a control scheme for naturalistic control of an exoskeleton glove and a glove design. Exoskeleton development has been focused primarily on design, improving soft actuator and cable-driven systems, with only limited focus on intelligent control. There is a need for control that is not limited to position or force reference signals and is user-driven. By implementing a motion amplification controller to increase weak movements of an impaired individual, a finger joint trajectory can be observed and used to predict their grasping intention. The motion amplification functions off of a virtual dynamical system that safely enforces the range of motion of the finger joints and ensures stability. Three grasp prediction algorithms are developed with improved levels of accuracy: regression, trajectory, and deep learning based. These algorithms were tested on published finger joint trajectories. The fusion of the amplification and prediction could be used to achieve naturalistic, user-guided control of an exoskeleton glove. The key to accomplishing this is series elastic actuators to move the finger joints, thereby allowing the wearer to deflect against the glove and inform the controller of their intention. These actuators are used to move the fingers in a nine degree of freedom exoskeleton that is capable of achieving all the grasps used most frequently in daily life. The controllers and exoskeleton presented here are the basis for improved exoskeleton glove control that can be used to assist or rehabilitate impaired individuals.
Master of Science
Millions of Americans report difficulty holding small or even lightweight objects. In many of these cases, their difficulty stems from a condition such as a stroke or arthritis, requiring either rehabilitation or assistance. For both treatments, exoskeleton gloves are a potential solution; however, widespread deployment of exoskeletons in the treatment of hand conditions requires significant advancement. Towards that end, the research community has devoted itself to improving the design of exoskeletons. Systems that use soft actuation or are driven by artificial tendons have merit in that they are comfortable to the wearer, but lack the rigidity required for monitoring the state of the hand and controlling it. Electromyography sensors are also a commonly explored technology for determining motion intention; however, only primitive conclusions can be drawn when using these sensors on the muscles that control the human hand. This thesis proposes a system that does not rely on soft actuation but rather a deflectable exoskeleton that can be used in rehabilitation or assistance. By using series elastic actuators to move the exoskeleton, the wearer of the glove can exert their influence over the machine. Additionally, more intelligent control is needed in the exoskeleton. The approach taken here is twofold. First, a motion amplification controller increases the finger movements of the wearer. Second, the amplified motion is processed using machine learning algorithms to predict what type of grasp the user is attempting. The controller would then be able to fuse the two, the amplification and prediction, to control the glove naturalistically.
APA, Harvard, Vancouver, ISO, and other styles
3

Biggar, Stuart. "Design and development of a robotic glove for hand rehabilitation." Thesis, University of Strathclyde, 2016. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27581.

Full text
Abstract:
In the western world there is an issue in healthcare being created by an increasing number of people who experience disability. Whilst the reasons for these occurring are multiple, the common treatment to aid recovery from this condition is therapy that requires manual stimulation of the musculature form [sic] a therapist. Due to the physical demands that this process places on the therapist it is thought that a possible solution to meeting the increasing future demand for therapy is with developments in robotic technology. This thesis proposes and develops the design of a cable-driven glove to assist patients to grasp, this direction of design was chosen after a consultation with former patients found that this was the activity of upper limb motion that they felt was the most difficult to control after therapy. Their design requirements resulted in the creation of a lightweight glove that maximised the performance of the cable driven system through the use of a vacuum to secure the cable and use the joints of their body to control the flexion. This design resulted in the development of a first generation prototype that was assessed firstly by operating a 3D printed hand to grasp a collection of balls and cubes. After this the prototype was tested by unimpaired volunteers to provide feedback on the comfort and control they have when using the device, which was then compared to the findings from the initial consultation. This showed that the glove was successful in performing the intended motion and was considered comfortable (3.5/5) as well as providing them control (3.83/5). The device was used in a consultation with medical workers as well, who were impressed with the strength of the device, but highlighted improvements that could be made to refine it further.
APA, Harvard, Vancouver, ISO, and other styles
4

Shah, Nauman. "Designing motivational games for robot-mediated stroke rehabilitation." Thesis, University of Hertfordshire, 2016. http://hdl.handle.net/2299/17193.

Full text
Abstract:
The repetitive and sometimes mundane nature of conventional rehabilitation therapy provides an ideal opportunity for development of interactive and challenging therapeutic games that have the potential to engage and motivate the players. Different game design techniques can be used to design rehabilitation games that work alongside robotics to provide an augmentative therapy to stroke patients in order to increase their compliance and motivation towards therapy. The strategy we followed to develop such a system was to (i) identify the key design parameters that can influence compliance, prolonged activity, active participation and patient motivation, (ii) use these parameters to design rehabilitation games for robot-mediated stroke-rehabilitation, (iii) investigate the effects of these parameters on motivation and performance of patients undergoing home-based rehabilitation therapy. Three main studies were conducted with healthy subjects and stroke subjects. The first study identified the effects of the design parameters on healthy players' motivation. Using the results from this study, we incorporated the parameters into rehabilitation games, following player-centric iterative design process, which were formatively evaluated during the second study with healthy subjects, stroke patients, and health-care professionals. The final study investigated the research outcomes from use of these games in three patient's homes during a 6 weeks clinical evaluation. In summary, the research undertaken during this PhD successfully identified the design techniques influencing patient motivation and adherence as well as highlighted further important elements that contribute to maintaining therapeutic interaction between patients and the therapy medium, mainly the technological usability and reliability of the system.
APA, Harvard, Vancouver, ISO, and other styles
5

Lee, Brielle. "Development of Intelligent Exoskeleton Grasping Through Sensor Fusion and Slip Detection." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83924.

Full text
Abstract:
This thesis explores the field of hand exoskeleton robotic systems with slip detection and its applications. It presents the design and control of the intelligent sensing and force- feedback exoskeleton robotic (iSAFER) glove to create a system capable of intelligent object grasping initiated by detection of the user’s intentions through motion amplification. Using a combination of sensory feedback streams from the glove, the system has the ability to identify and prevent object slippage, as well as adapting grip geometry to the object properties. The slip detection algorithm provides updated inputs to the force controller to prevent an object from being dropped, while only requiring minimal input from a user who may have varying degrees of functionality in their injured hand. This thesis proposes the use of a high dynamic range, low cost conductive elastomer sensor coupled with a negative force derivative trigger that can be leveraged in order to create a controller that can intelligently respond to slip conditions through state machine architecture, and improve the grasping robustness of the exoskeleton. The mechanical and electrical improvements to the previous design, the sensing and force- feedback exoskeleton robotic (SAFER) glove, are described while details of the controller design and the proposed assistive and rehabilitative applications are explained. Experimental results confirming the validity of the proposed system are also presented. In closing, this thesis concludes with topics for future exploration.
Master of Science
Exoskeletons are robotic systems that have rigid external covering, such as links, joints, and/or soft artificial tendons or muscles, for the desired body part to provide support and/or protection. These are typically used to enhance power and strength, provide rehabilitation and assistance, and teleoperate other robots from a distance. While the US Army developed exoskeletons for strengthening purposes, another potential purpose of exoskeletons, which is serving medical needs, such as rehabilitation, attracted a lot of attention. Among numerous illnesses and injuries that may lead to impaired hand functionality, the U.S. Department of Health and Human Services estimated that approximately 470,000 people survive strokes every year in the United States and require continuous rehabilitation to recover their motor functions. Though medical professionals believe that the intensity and duration of rehabilitation is the key for maximizing the rate of recovery, it is often limited due to many reasons, such as cost or difficulty in attending rehabilitation sessions. To augment the availability and quality of rehabilitation, the study of exoskeletons has earned popularity. Beyond the capability of providing simple movements, such as passive rehabilitation, many scientists researched to provide active rehabilitation, which involves active participation from the patients. Furthermore, detecting the patient’s intention to activate the rehabilitation glove became a topic of interest, and many types of sensors were utilized in research. This thesis explores the design and control of the intelligent sensing and force- feedback exoskeleton robotic (iSAFER) glove, which detects the user’s intentions to activate the system through motion amplification. The iSAFER glove performs soft initial grasp until the fingers touch an object. After the object is gently grabbed and lifted, the grasp is autonomously adjusted through slip detection until there is no more slip. To facilitate this idea, a low cost force sensor was created and leveraged to improve the grasping control of the exoskeleton. The mechanical and electrical improvements to the previous design, the sensing and force-feedback exoskeleton robotic (SAFER) glove, are described while details of the controller design and the proposed assistive and rehabilitative applications are explained. Experimental results confirming the validity of the proposed system are also presented. In closing, this thesis concludes with topics for future exploration.
APA, Harvard, Vancouver, ISO, and other styles
6

Petinari, Andrea. "Hand rehabilitation device for extension, opposition and reposition." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

Find full text
Abstract:
In this paper, the research focused on the development of a hand rehabilitation device which could perform extension, opposition and reposition movements. Firstly, the anatomy of the hand is analyzed and studied to understand where the problem resides; since the mechanism will be applied to post-stroke patients, it is necessary to comprehend the structure and the articulations of the hand, the muscles involved in the mentioned movements and how a healthy hand works. Then, the causes of the problem are studied, what are the consequences on the hand and how to solve every issue. Brunnström Approach is taken as reference for the rehabilitation therapy steps. After the performance target is defined and which function has the priority, a brief research on the state of the art is made. Six different devices are analyzed, taking into account their strengths and weaknesses, evaluating them and trying to find possible lacks to solve. An evaluation of possible solutions is done, in order to find the optimal solution for the problem. Various types of actuation and structure of the mechanism are considered. Defined which are the best choices between the ones proposed, the next step is to design a first prototype with the purpose of bringing together the solutions selected. The CAD used is PTC Creo Parametric. Once the first prototype was designed, it was partially printed with 3D technique (additive manufacturing) and tested; tests were made on the actuation and on the device to evaluated its efficacy. The results are visible in this paper. Finally, a conclusion is discussed with a short resume of the experiments made and the results obtained. Furthermore, remaining problems and future works are analyzed and debated.
APA, Harvard, Vancouver, ISO, and other styles
7

Abolfathi, Peter Puya. "Development of an Instrumented and Powered Exoskeleton for the Rehabilitation of the Hand." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/3690.

Full text
Abstract:
With improvements in actuation technology and sensory systems, it is becoming increasingly feasible to create powered exoskeletal garments that can assist with the movement of human limbs. This class of robotics referred to as human-machine interfaces will one day be used for the rehabilitation of paralysed, damaged or weak upper and lower extremities. The focus of this project was the development of an exoskeletal interface for the rehabilitation of the hands. A novel sensor was designed for use in such a device. The sensor uses simple optical mechanisms centred on a spring to measure force and position simultaneously. In addition, the sensor introduces an elastic element between the actuator and its corresponding hand joint. This will allow series elastic actuation (SEA) to improve control and safely of the system. The Hand Rehabilitation Device requires multiple actuators. To stay within volume and weight constraints, it is therefore imperative to reduce the size, mass and efficiency of each actuator without losing power. A method was devised that allows small efficient actuating subunits to work together and produce a combined collective output. This work summation method was successfully implemented with Shape Memory Alloy (SMA) based actuators. The actuation, sensory, control system and human-machine interface concepts proposed were evaluated together using a single-joint electromechanical harness. This experimental setup was used with volunteer subjects to assess the potentials of a full-hand device to be used for therapy, assessment and function of the hand. The Rehabilitation Glove aims to bring significant new benefits for improving hand function, an important aspect of human independence. Furthermore, the developments in this project may one day be used for other parts of the body helping bring human-machine interface technology into the fields of rehabilitation and therapy.
APA, Harvard, Vancouver, ISO, and other styles
8

Abolfathi, Peter Puya. "Development of an Instrumented and Powered Exoskeleton for the Rehabilitation of the Hand." University of Sydney, 2008. http://hdl.handle.net/2123/3690.

Full text
Abstract:
Doctor of Philosophy (PhD)
With improvements in actuation technology and sensory systems, it is becoming increasingly feasible to create powered exoskeletal garments that can assist with the movement of human limbs. This class of robotics referred to as human-machine interfaces will one day be used for the rehabilitation of paralysed, damaged or weak upper and lower extremities. The focus of this project was the development of an exoskeletal interface for the rehabilitation of the hands. A novel sensor was designed for use in such a device. The sensor uses simple optical mechanisms centred on a spring to measure force and position simultaneously. In addition, the sensor introduces an elastic element between the actuator and its corresponding hand joint. This will allow series elastic actuation (SEA) to improve control and safely of the system. The Hand Rehabilitation Device requires multiple actuators. To stay within volume and weight constraints, it is therefore imperative to reduce the size, mass and efficiency of each actuator without losing power. A method was devised that allows small efficient actuating subunits to work together and produce a combined collective output. This work summation method was successfully implemented with Shape Memory Alloy (SMA) based actuators. The actuation, sensory, control system and human-machine interface concepts proposed were evaluated together using a single-joint electromechanical harness. This experimental setup was used with volunteer subjects to assess the potentials of a full-hand device to be used for therapy, assessment and function of the hand. The Rehabilitation Glove aims to bring significant new benefits for improving hand function, an important aspect of human independence. Furthermore, the developments in this project may one day be used for other parts of the body helping bring human-machine interface technology into the fields of rehabilitation and therapy.
APA, Harvard, Vancouver, ISO, and other styles
9

Puodžiuvienė, Edita. "Characteristics of severe ocular injuries and evaluation of visual rehabilitation." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080403_103241-97947.

Full text
Abstract:
The aim of the study was to evaluate the visual and anatomic/structural outcomes of severe ocular injuries and their predictive factors. The objectives of the study: 1. To evaluate the risk factors for severe ocular injuries. 2. To evaluate the differences between open globe and closed globe ocular injuries 3. To evaluate visual and anatomic/structural outcomes in severe open globe and closed globe injuries. 4. To evaluate visual and structural outcomes in globe ruptures and penetrating injuries. 5. To evaluate the final visual outcomes in intraocular foreign body injuries. The study was carried out in the Laboratory of Ophfthalmology of the Institute of Biomedical Research and the Eye Clinic of Kaunas University of Medicine. The prospective study is based on the initial examination and the six month follow-up data of the patients with severe ocular injuries, treated in the Department of Ophthalmology of Kaunas Medical University Hospital in the period 2001-2005 (approval of the Kaunas Regional Comitee of Ethics No.BE-2-23). The inclusion criteria – the severe eye injury, defined as injury resulting in permanent and significant (measurable and observable on rutine eye examination) structural and/or functional changes of the eye. Severe eye injuries were classified by BETT system and mechanical eye injury clasiffication. According to final visual acuity visual outcomes was defined as: • Poor VA=0-0.02. • Satisfactory VA=0.03-0.4. • Bad VA≥0.5 [55]. Study population The... [to full text]
Darbo tikslas – įvertinti akių struktūrinius ir regos pokyčius sunkių akių traumų atvejais bei nustatyti juos sąlygojančius veiksnius. Pagrindiniai darbo uždaviniai: 1) nustatyti tikėtinus sunkių akių traumų rizikos veiksnius; 2) palyginti uždaro ir atviro tipo sunkias akių traumas; 3) įvertinti blogą regą ir akies anatominę struktūrą sąlygojančius pokyčius sunkių uždaro ir atviro tipo akių traumų atvejais; 4) nustatyti regos rezultatus ir įvertinti akies struktūrinius pokyčius akies plyšimų ir penetruojančių žaizdų atvejais; 5) nustatyti akių sužalojimų, sukeltų intraokuliniais svetimkūniais, regos rezultatus. Įtraukimo į tyrimą kriterijus – sunki akies trauma. Akies trauma yra sunki, kai ji sukelia pastovius ir žymius funkcinius bei anatominius akies pokyčius. Sunkios akies traumos klasifikuotos, remiantis BETT sistema ir mechaninių akies sužalojimų klasifikacija. Atviro tipo akių traumos suskirstytos pagal: 1) rūšį (A. Plyšimas; B. Penetruojanti ��aizda; C. IOSv; D. Perforuojanti žaizda); 2) laipsnį – regėjimo aštrumą (RA)(1˚ 0,5; 2˚ 0,2-0,4; 3˚ 0,03-0,1; 4˚ 1/∞-0,02; E˚ 0); zoną – žaizdos lokalizaciją (I. ragena; II. ragenos limbas ir 5 mm į odeną; III. nuo 5 mm orientyro odenoje į užpakalinį polių). Uždaro tipo traumos suskirstytos pagal: laipsnį (1˚ 0,5; 2˚ 0,2-0,4; 3˚ 0,03-0,1; 4˚ 1/∞-0,02; 5˚ 0). Regos rezultatas vertintas pagal galutinį koreguotą RA: 1) blogas (RA=0-0,02); 2) patenkinamas (RA=0,03-0,4); 3) geras (RA≥0,5). Ištirtas 1261 sunkių akių traumų atvejis (... [toliau žr. visą tekstą]
APA, Harvard, Vancouver, ISO, and other styles
10

Huang, Yu-Ning, and 黃昱寧. "A Study of apply Exoskeleton Rehabilitation glove for Subacute Stroke in Rehabilitation." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ejcq2y.

Full text
Abstract:
碩士
南臺科技大學
創新產品設計系
107
The number of strokes is approximately 17 million per year and the post-stroke “learned nonuse phenomenon” of the upper limbs often results in poorer recovery than that of lower limbs, even though functional upper limbs are essential for handling daily activities in patient’s life. With the science and technology advancement, there are many new innovative behavioral activities, such as mirror therapy, robot-assisted therapy and Virtual Reality therapy, which have become quite a relatively new clinical rehabilitation approach in recent years. The objective of this study was to develop the exoskeletal rehabilitation aids for upper extremities of patient with subacute hemiplegic stroke based on physical medicine and rehabilitation and human factors engineering, that the theoretical basis of mirror therapy and robot-assisted therapy was applied in prototyping design of such exoskeleton to take into account of ergonomics, where such design was further assessed through modeling deduction, device verification and user testing as wearables. The test result showed that the fundamental theory proposed in this study as implemented in practice through design was able to satisfy the needs of most users and such design provided sufficient safety and operability. The same trajectory was obtained every time in the tests, confirming the correctness and the actual practicability of the established construction model in the study. The twelve subjects wearing the device in the user testing, all fell within the targeted percentile that they were able to wear the exoskeletal gloves to perform tasks. This study would continue to recruit from the Chi Mei Medical Center for more Clinical Trials of the auxiliary exoskeletal rehabilitation aids, to prove its efficacy in helping recovery of post-stroke patients, as well as patients with subacute hemiplegic stroke in upper extremities, to assist them in achieving daily self-care and life activities.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Rehabilitation Glove"

1

Michel, Jean-Pierre, B. Lynn Beattie, Finbarr C. Martin, and Jeremy Walston, eds. Oxford Textbook of Geriatric Medicine. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198701590.001.0001.

Full text
Abstract:
The 3rd Edition of The Oxford Textbook of Geriatric Medicine brings together specialists from across the globe to provide every physician and health care provider involved in the care of older people with a comprehensive resource on the medical, social, and psychological issues they are likely to encounter in their practice and research. Beyond these issues, this comprehensive text provides insights into global population ageing, ageing-relevant policy developments, healthy ageing, lifecourse, multimorbidity, personalised and person-centred care.New material has been added throughout with a strong focus on integrating the impact of age-related physiological and cellular changes with the development of age-related diseases and conditions. Sections on sarcopenia, nutritional health, frailty and related geriatric syndromes have been expanded. Geriatric care principles from public health, primary and specialized care have also been updated and expanded. New models of care in general medicine and surgery and related sub-specialties, outpatient and emergency care, rehabilitation, oncology, palliative medicine and long-term care relevant to older adults are discussed in detail. In summary, the 3rd Edition of The Oxford Textbook of Geriatric Medicine 3e articulates important new global demographic trends and clinical practice patterns, the scientific basis of age-related diseases and conditions, and the ethical, legal, and socioeconomic concerns for healthcare policy and systems relevant to older adults around the globe.
APA, Harvard, Vancouver, ISO, and other styles
2

Castaldelli-Maia, João Mauricio, Antonio Ventriglio, and Dinesh Bhugra, eds. Homelessness and Mental Health. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198842668.001.0001.

Full text
Abstract:
There is considerable research evidence indicating that rates of psychiatric disorders are higher in homeless individuals, although in some cases, psychiatric illness itself may lead to homelessness if no safety net is available. These rates of psychiatric disorders across nations, be they high-income countries or low- and middle-income countries, are broadly similar. Homelessness and psychiatric disorders are both strongly affected by various social determinants and may feed into each other. Exploring these issues across the globe, this volume aims to provide up-to-date research and policy evidence from across different countries and cultures. The bidirectional relationship between homelessness and mental ill health is still far from being completely understood, but the impact of social and psychological factors is of interest. In addition, the result of transgenerational factors on people’s mental health is crucial. The devastating and well-proven association between homelessness and mental illness needs to be approached at all levels of governmental policy in each country with policy changes as needed. There needs to be a joined-up approach across departments. Every nation needs to develop optimal models of social care and rehabilitation that build on the particular local research-driven needs of homeless people with mental illnesses. This volume aims to provide a more cultural and international overview with contributors and experts from across continents.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Rehabilitation Glove"

1

Moromugi, Shunji, Toshio Higashi, Ryo Ishikawa, Seiya Kudo, Naoki Iso, Shirou Ooso, Takeaki Shirotani, Murray J. Lawn, and Takakazu Ishimatsu. "Exotendon Glove System for Finger Rehabilitation after Stroke." In Biosystems & Biorobotics, 93–102. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08072-7_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Popescu, Dorin, Mircea Ivanescu, Razvan Popescu, Anca Petrisor, Livia-Carmen Popescu, and Ana-Maria Bumbea. "Post-stroke Hand Rehabilitation Using a Wearable Robotic Glove." In Innovation in Medicine and Healthcare 2016, 259–68. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39687-3_25.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Snekhalatha, U., Haritha Nair, and Nehaa Pravin. "Sensor-Based Smart Glove for Rehabilitation of Paralysis Patients." In Advances in Intelligent Systems and Computing, 761–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2123-9_58.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Phan, Gia Hoang, Vijender Kumar Solanki, and Nguyen Ho Quang. "A Pneumatic Actuator-Powered Robotic Glove for Hand Rehabilitation." In Bio-inspired Motor Control Strategies for Redundant and Flexible Manipulator with Application to Tooling Tasks, 69–77. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9551-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Friedman, Nizan, David Reinkensmeyer, and Mark Bachman. "A Real-Time Interactive MIDI Glove for Domicile Stroke Rehabilitation." In Lecture Notes in Computer Science, 151–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21619-0_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Borja, Edgar F., Daniel A. Lara, Washington X. Quevedo, and Víctor H. Andaluz. "Haptic Stimulation Glove for Fine Motor Rehabilitation in Virtual Reality Environments." In Lecture Notes in Computer Science, 211–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95282-6_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hidalgo, Julio Cesar Cabrera, Nathalia Michelle Peralta Vásconez, Vladimir Espartaco Robles Bykbaev, Ángel Andres Pérez Muñoz, and Marco Esteban Amaya Pinos. "Development of a Hand Rehabilitation Therapy System with Soft Robotic Glove." In Advances in Intelligent Systems and Computing, 948–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19135-1_93.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Yuan, Ning, Kelly Thielbar, Li-Qun Zhang, and Derek G. Kamper. "Use of an Actuated Glove to Facilitate Hand Rehabilitation After Stroke." In Converging Clinical and Engineering Research on Neurorehabilitation II, 551–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46669-9_91.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Franchi, Danilo, Alfredo Maurizi, and Giuseppe Placidi. "Characterization of a SimMechanics Model for a Virtual Glove Rehabilitation System." In Computational Modeling of Objects Represented in Images, 141–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12712-0_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Coffey, Aodhan L., and Tomas E. Ward. "A Sensor Glove System for Rehabilitation in Instrumental Activities of Daily Living." In Communications in Computer and Information Science, 135–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39476-8_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Rehabilitation Glove"

1

Hoda, Mohamad, Basim Hafidh, and Abdulmotaleb El Saddik. "Haptic glove for finger rehabilitation." In 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2015. http://dx.doi.org/10.1109/icmew.2015.7169803.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tavares, Rafael, Paulo Abreu, and Manuel Quintas. "Instrumented glove for rehabilitation exercises." In 2015 3rd Experiment International Conference (exp.at'15). IEEE, 2015. http://dx.doi.org/10.1109/expat.2015.7463229.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yap, Hong Kai, Jeong Hoon Lim, Fatima Nasrallah, Fan-Zhe Low, James C. H. Goh, and Raye C. H. Yeow. "MRC-glove: A fMRI compatible soft robotic glove for hand rehabilitation application." In 2015 IEEE International Conference on Rehabilitation Robotics (ICORR). IEEE, 2015. http://dx.doi.org/10.1109/icorr.2015.7281289.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Cutolo, Fabrizio, Chiara Mancinelli, Shyamal Patel, Nicola Carbonaro, Maurizio Schmid, Alessandro Tognetti, Danilo De Rossi, and Paolo Bonato. "A sensorized glove for hand rehabilitation." In 2009 IEEE 35th Annual Northeast Bioengineering Conference. NEBEC 2009. IEEE, 2009. http://dx.doi.org/10.1109/nebc.2009.4967775.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rodriguez, Natalia, Matteo Sangalli, Monika Smukowska, and Mario Covarrubias. "Haptic Feedback Glove for Arm Rehabilitation." In CAD'21. CAD Solutions LLC, 2021. http://dx.doi.org/10.14733/cadconfp.2021.303-307.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Srinivas, Gopisetty, Harshitha C. Gowda, V. Harshitha, Hithaishree Shankar, and K. N. Vidyasagar. "Biofeedback Glove for Stroke Rehabilitation Therapy." In 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC). IEEE, 2020. http://dx.doi.org/10.1109/icaecc50550.2020.9339524.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Rose, Chad G., and Marcia K. O'Malley. "Design of an assistive, glove-based exoskeleton." In 2017 International Symposium on Wearable & Rehabilitation Robotics (WeRob). IEEE, 2017. http://dx.doi.org/10.1109/werob.2017.8383813.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Borboni, Alberto, Rodolfo Faglia, and Maurizio Mor. "Compliant Device for Hand Rehabilitation of Stroke Patient." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20081.

Full text
Abstract:
A new device for hand rehabilitation of stroke patient is presented. Its main innovative features are: lightness, real safety guaranteed by its structural elasticity, smoothness and easiness of movements. The kinematic behavior of the system hand-plus-rehabilitation-device is analyzed. The device applicability is confirmed by positive testing. Cerebrovascular diseases are the third cause of mortality and the second cause of long term disability in Western countries. The 60% of survived individuals shows a sensitive/motor deficit of one or both hands and must be subjected to a rehabilitative treatment to recover the use of the upper limb. Recent technologies have facilitated the use of robots as assistive tools to patients, providing safe and highly personalized rehabilitation sessions, thus making therapist contribution to recovery much more intensive and effective. We propose in this work a wearable glove with an incorporated compliant mechanical transmission over the hand. The glove is composed by two main modules with well-defined mechanical characteristics. One is the actuator on the upper side of the forearm, close to the wrist (and to the impaired hand) and still separated from it; the other (the transmission) is composed by several elastic transmissions which, moved by the actuator, properly transmit displacements, speed and forces to one or more impaired fingers during a rehabilitation session. While the actuator module has a rigid and defined structure and is fixed to the forearm section of the glove, the “transmission” module has in fact a labile and extended structure as it has to reach all five fingers (one, some, or all might be impaired and in need of rehabilitation) up to their tips and move them in an effective and reliable way. A kinematical characterization of the compliant transmission is proposed to dimension the actuators and to define the correct commanded motion profile at actuator level.
APA, Harvard, Vancouver, ISO, and other styles
9

Popescu, Dorin, Mircea Ivanescu, Sorin Manoiu-Olaru, Marian-Ionut Burtea, and Nirvana Popescu. "Robotic glove development with application in robotics rehabilitation." In 2014 International Conference and Exposition on Electrical and Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/icepe.2014.6969890.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chen, Yaohui, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, and Chaoyang Song. "A lobster-inspired robotic glove for hand rehabilitation." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989556.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Rehabilitation Glove' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography