This paper is in the following e-collection/theme issue:

Reviews on Innovation in Rehabilitation and Assistive Technologies (50) Telerehabilitation (162) Internet for Rehabilitation (76) Technology in Physiotherapy (136) mHealth for Rehabilitation (269) Portable and Mobile Technologies for Rehabilitation (156) Neurology and Neurosciences (192)

Published on in Vol 9, No 1 (2022): Jan-Mar

Remote Assessments of Hand Function in Neurological Disorders: Systematic Review

Remote Assessments of Hand Function in Neurological Disorders: Systematic Review

Remote Assessments of Hand Function in Neurological Disorders: Systematic Review

Authors of this article:

Arpita Gopal1 Author Orcid Image ;   Wan-Yu Hsu1 Author Orcid Image ;   Diane D Allen2 Author Orcid Image ;   Riley Bove1 Author Orcid Image
Article Authors Cited by (25) Tweetations (11) Metrics

Journals

  1. Shavlovskaya O. Hand motor dexterity as one of neurological status assessing indicators. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 2022;122(10):121 View
  2. Güney G, Jansen T, Dill S, Schulz J, Dafotakis M, Hoog Antink C, Braczynski A. Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe. Sensors 2022;22(20):7992 View
  3. Stasolla F, Lopez A, Akbar K, Vinci L, Cusano M. Matching Assistive Technology, Telerehabilitation, and Virtual Reality to Promote Cognitive Rehabilitation and Communication Skills in Neurological Populations: A Perspective Proposal. Technologies 2023;11(2):43 View
  4. Gardoni A, Sarasso E, Agosta F, Filippi M, Corbetta D. Rehabilitative interventions for impaired handwriting in people with Parkinson’s disease: a scoping review. Neurological Sciences 2023;44(8):2667 View
  5. Voss S, Adighibe A, Sanders E, Aaby D, Kravitt R, Clark G, Breen K, Barry A, Forrest G, Kirshblum S, Perez M, Kalsi-Ryan S, Kocherginsky M, Rymer W, Sandhu M. Development of a Remote Version of the Graded Redefined Assessment of Strength, Sensation, and Prehension (GRASSP): Validity and Reliability. Neurorehabilitation and Neural Repair 2023;37(2-3):83 View
  6. Pandey V, Khan N, Gupta A, Gajos K. Accuracy and Reliability of At-Home Quantification of Motor Impairments Using a Computer-Based Pointing Task with Children with Ataxia-Telangiectasia. ACM Transactions on Accessible Computing 2023;16(1):1 View
  7. O’Neil J, Barnes K, Morgan Donnelly E, Sheehy L, Sveistrup H. Identification and description of telerehabilitation assessments for individuals with neurological conditions: A scoping review. DIGITAL HEALTH 2023;9 View
  8. Lee Y, Park H. Design Optimization of a Soft Robotic Rehabilitation Glove Based on Finger Workspace Analysis. Biomimetics 2024;9(3):172 View
  9. ZAMPOLINI M, ORAL A, BAROTSIS N, AGUIAR BRANCO C, BURGER H, CAPODAGLIO P, DINCER F, GIUSTINI A, HU X, IRGENS I, NEGRINI S, TEDERKO P, TREGER I, KIEKENS C. Evidence-based position paper on Physical and Rehabilitation Medicine (PRM) professional practice on telerehabilitation. The European PRM position (UEMS PRM Section). European Journal of Physical and Rehabilitation Medicine 2024;60(2) View
  10. Prochaska E, Ammenwerth E. Clinical Utility and Usability of the Digital Box and Block Test: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e54939 View
  11. Urbina J, Abarca V, Elias D. Integration of music-based game approaches with wearable devices for hand neurorehabilitation: a narrative review. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  12. Garanin A, Kolsanov A, Shipunov I. Review of the world market for pulse oximeter medical devices. Biomedical Engineering 2024;58(1):73 View
  13. Chien C, Ouyang C, Chiu Y, Lin L, Yang R, Chang Y, Wang S, Liou L. An Automatic Approach of Video-Based Landmark Detection and Movement Analysis for Assessing Symptoms of Bradykinesia in Parkinson’s Disease. Journal of Medical and Biological Engineering 2024;44(3):460 View
  14. Fu Y, Zhang Y, Ye B, Babineau J, Zhao Y, Gao Z, Mihailidis A. Smartphone-Based Hand Function Assessment: Systematic Review. Journal of Medical Internet Research 2024;26:e51564 View
  15. McGuckian T, Laracas J, Roseboom N, Eichler S, Kardas S, Piantella S, Cole M, Eldridge R, Duckworth J, Steenbergen B, Green D, Wilson P. Portable Touchscreen Assessment of Motor Skill: A Registered Report of the Reliability and Validity of EDNA MoTap. Assessment 2024 View
  16. Proietti T, Bandini A. Wearable Technologies for Monitoring Upper Extremity Functions During Daily Life in Neurologically Impaired Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:2737 View
  17. Mehta S, Karagiannopoulos C, Pepin M, Ballantyne B, Michlovitz S, MacDermid J, Grewal R, Martin R. Distal Radius Fracture Rehabilitation. Journal of Orthopaedic & Sports Physical Therapy 2024;54(9):CPG1 View
  18. Jeter R, Greenfield R, Housley S, Belykh I. Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach. JMIR Biomedical Engineering 2024;9:e56980 View
  19. Scaramozza M, Ruet A, Chiesa P, Ahamada L, Bartholomé E, Carment L, Charre-Morin J, Cosne G, Diouf L, Guo C, Juraver A, Kanzler C, Karatsidis A, Mazzà C, Penalver-Andres J, Ruiz M, Saubusse A, Simoneau G, Scotland A, Sun Z, Tang M, van Beek J, Zajac L, Belachew S, Brochet B, Campbell N. Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study. JMIR Formative Research 2024;8:e60673 View

Books/Policy Documents

  1. İnal Özün Ö, Özkeskin M, Kirmaci Z. Telerehabilitation. View
  2. Malatesta G, Forrester G. Lateralized Brain Functions. View