Dissertations / Theses on the topic 'Rehabilitation Glove'
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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 textDenna 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.
Chauhan, Raghuraj Jitendra. "Towards Naturalistic Exoskeleton Glove Control for Rehabilitation and Assistance." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/104113.
Full textMaster 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.
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 textShah, Nauman. "Designing motivational games for robot-mediated stroke rehabilitation." Thesis, University of Hertfordshire, 2016. http://hdl.handle.net/2299/17193.
Full textLee, Brielle. "Development of Intelligent Exoskeleton Grasping Through Sensor Fusion and Slip Detection." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83924.
Full textMaster 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.
Petinari, Andrea. "Hand rehabilitation device for extension, opposition and reposition." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textAbolfathi, 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 textAbolfathi, 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 textWith 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.
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 textDarbo 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]
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.
Pan, Chun-Hsiao, and 潘俊孝. "Development of a Accelerometer-based Glove for Hand Rehabilitation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/94973317063951333855.
Full text國立臺灣大學
電機工程學研究所
96
A data glove finger movements can be transformed into digital signals, and to do with computers, can be used in virtual reality rehabilitation interface. However, because of existing products in terms of convenience and prices have a lot of room for improvement. And this is facilitated by the cheap three-axis sensors to speed up research and development data gloves, use of the accelerator sensor in the direction of gravity to accelerate, in order to determine that state . The R & D devices can be measured each fingers refers to their static state, palm angle, and restrictions under the dynamic conditions that state.
YANG, TING-HONG, and 楊廷鴻. "Hand Motion Detection with MEMS Sensor Data Glove for Rehabilitation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3hw2q5.
Full text國立中正大學
電機工程研究所
105
In recent years, data gloves have become one of the popular researching topics, although data glove products are not common now. Data gloves can provide easier control by direct hand actions. Many researchers use it in their research areas which include media, industrial design, and medical area. In the medical area, most of data gloves are used just as control interface of rehabilitation systems. The measuring results are rough approximations. It is rarely applied as a diagnosis supporting device in a rehabilitation process. We want to develop a data glove as a diagnosis device for rehabilitation. The new data glove can detect hand attitude and hand joint bend angles. Doctor and therapist can use the data glove to diagnose hands ability of patients. This is helpful for patients after stroke and hand surgery. In the thesis, we get the hand motion by the attitude detecting data glove. Sixteen motion sensors are set on the back of the glove. The motion sensor includes an accelerometer, a gyroscope, and a magnetometer. Those are MEMS (Micro Electro Mechanical Systems) sensors. Data of the inertial sensor and the magnetic sensor are fused to get the attitude by AHRS algorithm. The attitude detection refers the magnetic field of the earth. The attitudes of 16 sensors are gathered into a socket and the socket is sent to the computer by Wi-Fi. The hand attitude simulation and the joint angles are computed with Vpython on the computer. Finally, the hand attitude is presented on screen with the limitation for impossible hand action. The bend angles of joints can be fetched by the vector computing. The result can be a reference for diagnosis.
Indermun, Shival. "Low-cost flexible sensor glove as a rehabilitation and diagnostic tool." Thesis, 2020. https://hdl.handle.net/10539/30108.
Full textHand therapy for patients suffering with hand impairment, caused by physical injury or neurological disorders is often inaccessible to patients that live far away from local clinics. Apart from accessibility, developing countries face additional issues such as high patient referral rates and time limitations. Therefore, it is imperative that there are accessible and low-cost means for hand rehabilitation and impairment diagnosis. A low-cost flexible sensor was developed to measure the range of motion of the fingers for the application of rehabilitation in developing countries. Flexible sensors were attached to the proximal interphalangeal (PIP) and metacarpophalangeal (MCP) joints of the fingers and the interphalangeal (IP) joint of the thumb. The gloves were validated through testing each joint at 30, 45 and 60_ degrees. Fluctuations had a maximum variation of +/-5°. The glove measured the range of motion in 50 healthy subjects performing daily activities that were derived from the ICF(Inter- national Classication of Functioning, Disability and Health) guide. The testing was split into dynamic (10 participants) and static (40 participants) phases. There were no criteria for subject participation apart from the fit of the gloves. The gloves proved capable of measuring the range of motion of the finger joints. The IP join of the thumb had the most variation throughout the dynamic tests. The statictests resulted in a ROM of 39.88_-69.42_, 18.92_- 78.1_ and 13.42_-60.15_ for the MCP, PIP and IP joints, respectively. The data collected provided the range of motion required for an individual to perform activities of daily living and thus validating the gloves use as a_finger motion measurement tool. Therefore, the glove can be applied to monitoring patient recovery, hand impairment diagnosis and providing rehabilitation therapy.
PH2020
Tsai, Jia-Min, and 蔡嘉珉. "A Vibrotactile Glove Design and its Rehabilitation Effects on Hand Function in Stroke Patients." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/792bj7.
Full text國立臺灣科技大學
機械工程系
103
This study aims to develop a fine motor training glove that integrate a virtual re-ality based interactive environment with vibrotactile feedback for more effective post stroke hand rehabilitation. The proposed haptic rehabilitation device is equipped with small DC vibration motors for vibrotactile feedback stimulation and piezoresistive thin-film pressure sensors for motor function evaluation. Two virtual- reality based games, “gopher hitting” and “musical note hitting”, were developed as a haptic inter-face. According to the designed rehabilitation program, patients intuitively push and practice their fingers to improve the finger isolation function. This study has been cooperated with the physical therapists in Taipei MacKay Memorial Hospital for clin-ical trials. The recruited stroke patients were asked to wear our developed vibrotactile glove for a series of clinical tests. This study specifically discusses the effectiveness of adding vibrotactile feedback and the efficiency of repeated hand rehabilitation. The experiments confirm that giving vibration stimulations at the affected side can in-crease the reaction response of stroke patients.
"Smart Glove: An Assistive Device to Enhance Recovery of Hand Function During Motor Rehabilitation." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.34870.
Full textDissertation/Thesis
Masters Thesis Bioengineering 2015