Gotowa bibliografia na temat „Rehabilitation Glove”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Rehabilitation Glove”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Rehabilitation Glove"
Reddy, Raja Vikram, i Aliasgar Barodawala. "Hand Rehabilitation Glove". International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (31.08.2018): 1392–96. http://dx.doi.org/10.31142/ijtsrd17028.
Pełny tekst źródłaIlyas, Salman Muhammad, Syed Faraz Jawed, Choudhary Sobhan Shakeel, Luqman Hashim Bawany i Rumaisa Amin. "DESIGN AND DEVELOPMENT OF A STROKE REHABILITATION GLOVE FOR MEASURING AND MONITORING HAND MOTIONS". Pakistan Journal of Rehabilitation 11, nr 2 (7.07.2022): 167–78. http://dx.doi.org/10.36283/pjr.zu.11.2/023.
Pełny tekst źródłaAhmed, Yahya, Auns Al-Neami i Saleem Lateef. "Robotic Glove for Rehabilitation Purpose: Review". 3D SCEEER Conference sceeer, nr 3d (1.07.2020): 86–92. http://dx.doi.org/10.37917/ijeee.sceeer.3rd.12.
Pełny tekst źródłaTaylor, Jamie, i Kevin Curran. "Glove-Based Technology in Hand Rehabilitation". International Journal of Innovation in the Digital Economy 6, nr 1 (styczeń 2015): 29–49. http://dx.doi.org/10.4018/ijide.2015010103.
Pełny tekst źródłaSeçkin, Mine, i Necla Yaman Turan. "Rehabilitation Glove Device Design". Journal of Engineering Technology and Applied Sciences 3, nr 1 (30.05.2018): 75–81. http://dx.doi.org/10.30931/jetas.391297.
Pełny tekst źródłaGuo, Kai, Senhao Zhang, Shasha Zhao i Hongbo Yang. "Design and Manufacture of Data Gloves for Rehabilitation Training and Gesture Recognition Based on Flexible Sensors". Journal of Healthcare Engineering 2021 (7.12.2021): 1–9. http://dx.doi.org/10.1155/2021/6359403.
Pełny tekst źródłaAghil, T., S. Rahul, S. Buvan Kumaar, Yati Vijay, S. Tharun Kumar i B. Sidhharth. "A Futuristic Approach for Stroke Rehabilitation Using Smart Gloves". Journal of Physics: Conference Series 2115, nr 1 (1.11.2021): 012025. http://dx.doi.org/10.1088/1742-6596/2115/1/012025.
Pełny tekst źródłaZhu, Yinlong, Weizhuang Gong, Kaimei Chu, Xu Wang, Zhiqiang Hu i Haijun Su. "A Novel Wearable Soft Glove for Hand Rehabilitation and Assistive Grasping". Sensors 22, nr 16 (21.08.2022): 6294. http://dx.doi.org/10.3390/s22166294.
Pełny tekst źródłaRogriguez, Natalia, Matteo Sangalli, Monika Smukowska i Mario Covarrubias. "Haptic Feedback Glove for Arm Rehabilitation". Computer-Aided Design and Applications 19, nr 6 (9.03.2022): 1143–53. http://dx.doi.org/10.14733/cadaps.2022.1143-1153.
Pełny tekst źródłaConnolly, James, Joan Condell, Kevin Curran i Philip Gardiner. "Improving Data Glove Accuracy and Usability Using a Neural Network When Measuring Finger Joint Range of Motion". Sensors 22, nr 6 (14.03.2022): 2228. http://dx.doi.org/10.3390/s22062228.
Pełny tekst źródłaRozprawy doktorskie na temat "Rehabilitation Glove"
Henriksson, Michael, i 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.
Pełny tekst źródłaDenna 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.
Pełny tekst źródłaMaster 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.
Pełny tekst źródłaShah, Nauman. "Designing motivational games for robot-mediated stroke rehabilitation". Thesis, University of Hertfordshire, 2016. http://hdl.handle.net/2299/17193.
Pełny tekst źródłaLee, Brielle. "Development of Intelligent Exoskeleton Grasping Through Sensor Fusion and Slip Detection". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83924.
Pełny tekst źródłaMaster 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.
Znajdź pełny tekst źródłaAbolfathi, 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.
Pełny tekst źródłaAbolfathi, 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.
Pełny tekst źródłaWith 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.
Pełny tekst źródłaDarbo 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, i 黃昱寧. "A Study of apply Exoskeleton Rehabilitation glove for Subacute Stroke in Rehabilitation". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ejcq2y.
Pełny tekst źródła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.
Książki na temat "Rehabilitation Glove"
Michel, Jean-Pierre, B. Lynn Beattie, Finbarr C. Martin i Jeremy Walston, red. Oxford Textbook of Geriatric Medicine. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198701590.001.0001.
Pełny tekst źródłaCastaldelli-Maia, João Mauricio, Antonio Ventriglio i Dinesh Bhugra, red. Homelessness and Mental Health. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198842668.001.0001.
Pełny tekst źródłaCzęści książek na temat "Rehabilitation Glove"
Moromugi, Shunji, Toshio Higashi, Ryo Ishikawa, Seiya Kudo, Naoki Iso, Shirou Ooso, Takeaki Shirotani, Murray J. Lawn i Takakazu Ishimatsu. "Exotendon Glove System for Finger Rehabilitation after Stroke". W Biosystems & Biorobotics, 93–102. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08072-7_19.
Pełny tekst źródłaPopescu, Dorin, Mircea Ivanescu, Razvan Popescu, Anca Petrisor, Livia-Carmen Popescu i Ana-Maria Bumbea. "Post-stroke Hand Rehabilitation Using a Wearable Robotic Glove". W 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.
Pełny tekst źródłaSnekhalatha, U., Haritha Nair i Nehaa Pravin. "Sensor-Based Smart Glove for Rehabilitation of Paralysis Patients". W Advances in Intelligent Systems and Computing, 761–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2123-9_58.
Pełny tekst źródłaPhan, Gia Hoang, Vijender Kumar Solanki i Nguyen Ho Quang. "A Pneumatic Actuator-Powered Robotic Glove for Hand Rehabilitation". W 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.
Pełny tekst źródłaFriedman, Nizan, David Reinkensmeyer i Mark Bachman. "A Real-Time Interactive MIDI Glove for Domicile Stroke Rehabilitation". W 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.
Pełny tekst źródłaBorja, Edgar F., Daniel A. Lara, Washington X. Quevedo i Víctor H. Andaluz. "Haptic Stimulation Glove for Fine Motor Rehabilitation in Virtual Reality Environments". W Lecture Notes in Computer Science, 211–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95282-6_16.
Pełny tekst źródłaHidalgo, Julio Cesar Cabrera, Nathalia Michelle Peralta Vásconez, Vladimir Espartaco Robles Bykbaev, Ángel Andres Pérez Muñoz i Marco Esteban Amaya Pinos. "Development of a Hand Rehabilitation Therapy System with Soft Robotic Glove". W 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.
Pełny tekst źródłaYuan, Ning, Kelly Thielbar, Li-Qun Zhang i Derek G. Kamper. "Use of an Actuated Glove to Facilitate Hand Rehabilitation After Stroke". W 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.
Pełny tekst źródłaFranchi, Danilo, Alfredo Maurizi i Giuseppe Placidi. "Characterization of a SimMechanics Model for a Virtual Glove Rehabilitation System". W 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.
Pełny tekst źródłaCoffey, Aodhan L., i Tomas E. Ward. "A Sensor Glove System for Rehabilitation in Instrumental Activities of Daily Living". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Rehabilitation Glove"
Hoda, Mohamad, Basim Hafidh i Abdulmotaleb El Saddik. "Haptic glove for finger rehabilitation". W 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2015. http://dx.doi.org/10.1109/icmew.2015.7169803.
Pełny tekst źródłaTavares, Rafael, Paulo Abreu i Manuel Quintas. "Instrumented glove for rehabilitation exercises". W 2015 3rd Experiment International Conference (exp.at'15). IEEE, 2015. http://dx.doi.org/10.1109/expat.2015.7463229.
Pełny tekst źródłaYap, Hong Kai, Jeong Hoon Lim, Fatima Nasrallah, Fan-Zhe Low, James C. H. Goh i Raye C. H. Yeow. "MRC-glove: A fMRI compatible soft robotic glove for hand rehabilitation application". W 2015 IEEE International Conference on Rehabilitation Robotics (ICORR). IEEE, 2015. http://dx.doi.org/10.1109/icorr.2015.7281289.
Pełny tekst źródłaCutolo, Fabrizio, Chiara Mancinelli, Shyamal Patel, Nicola Carbonaro, Maurizio Schmid, Alessandro Tognetti, Danilo De Rossi i Paolo Bonato. "A sensorized glove for hand rehabilitation". W 2009 IEEE 35th Annual Northeast Bioengineering Conference. NEBEC 2009. IEEE, 2009. http://dx.doi.org/10.1109/nebc.2009.4967775.
Pełny tekst źródłaRodriguez, Natalia, Matteo Sangalli, Monika Smukowska i Mario Covarrubias. "Haptic Feedback Glove for Arm Rehabilitation". W CAD'21. CAD Solutions LLC, 2021. http://dx.doi.org/10.14733/cadconfp.2021.303-307.
Pełny tekst źródłaSrinivas, Gopisetty, Harshitha C. Gowda, V. Harshitha, Hithaishree Shankar i K. N. Vidyasagar. "Biofeedback Glove for Stroke Rehabilitation Therapy". W 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC). IEEE, 2020. http://dx.doi.org/10.1109/icaecc50550.2020.9339524.
Pełny tekst źródłaRose, Chad G., i Marcia K. O'Malley. "Design of an assistive, glove-based exoskeleton". W 2017 International Symposium on Wearable & Rehabilitation Robotics (WeRob). IEEE, 2017. http://dx.doi.org/10.1109/werob.2017.8383813.
Pełny tekst źródłaBorboni, Alberto, Rodolfo Faglia i Maurizio Mor. "Compliant Device for Hand Rehabilitation of Stroke Patient". W 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.
Pełny tekst źródłaPopescu, Dorin, Mircea Ivanescu, Sorin Manoiu-Olaru, Marian-Ionut Burtea i Nirvana Popescu. "Robotic glove development with application in robotics rehabilitation". W 2014 International Conference and Exposition on Electrical and Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/icepe.2014.6969890.
Pełny tekst źródłaChen, Yaohui, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan i Chaoyang Song. "A lobster-inspired robotic glove for hand rehabilitation". W 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989556.
Pełny tekst źródła