A low cost instrumented glove for extended monitoring and functional hand assessment
Abstract
A wearable finger flexion monitor developed to measure hand function in individuals with hand dysfunction was evaluated for feasibility, measurement repeatability and reliability, fidelity of wireless transmission, and user acceptance. Configuration of the monitor allows use in situations when a traditional measurement glove cannot be worn. Five healthy individuals participated in the study of repeatability, while 10 healthy individuals and 10 individuals with acquired brain injury participated in trials to assess feasibility and user comfort. Repeatability results showed an overall error of 3.4 degrees , compared to 5.5 degrees and 5.7 degrees reported with other sensor gloves, and to manual measurements (5-8 degrees). Intraclass coefficient of reliability (using coefficient alpha) averaged 0.95. User feedback regarding comfort of the monitor was very high. Loss of data during wireless transmission was no greater than 1.2%. Results demonstrate that the monitor has a strong potential to be used as a tool for objective hand function evaluation in the home and community for both short- and long-term monitoring.
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In general, individuals with epilepsy, Parkinson's disease, and stroke were positive towards using wearables.
“In general, individuals with epilepsy, PD, and stroke were positive towards using wearables, such as body-worn small separate sensor units [64], gloves [65], smart glasses [66], and “intelligent” clothes [67].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
The sensors were comfortable to wear during daily activities for some participants with stroke.
“The participants found that wrist-worn sensors were easy to put on and take off [64]; however, in other studies, some participants with stroke felt that extra help would be needed to put the wrist sensors on but the sensors were comfortable to wear during daily activities [65, 68, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Some participants with stroke felt that extra help would be needed to put the wrist sensors on.
“The participants found that wrist-worn sensors were easy to put on and take off [64]; however, in other studies, some participants with stroke felt that extra help would be needed to put the wrist sensors on but the sensors were comfortable to wear during daily activities [65, 68, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Participants with stroke and Parkinson's disease described that wearables did not impact their daily activities.
“Participants with stroke and PD described that wearables did not impact their daily activities [64, 65, 68, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Feeling "embarrassed" and that the sensors might "look funny" were described by participants with stroke.
“Feeling “embarrassed” and that the sensors might “look funny” were described by participants with stroke [65].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Individuals with epilepsy, Parkinson's disease, and stroke reported a wide spectrum of expectations in terms of usability of wearables.
“Individuals with epilepsy, PD, and stroke reported a wide spectrum of expectations in terms of usability of wearables [65–69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Some stroke participants suggested that sensors could be worn on the upper arm instead of the wrists to make them less noticeable.
“some stroke participants suggested that sensors could be worn on the upper arm instead of the wrists to make them less noticeable [65].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Wearables need to be small and non-obtrusive according to participants.
“Wearables need to be small and non-obtrusive [64, 65, 68, 69]”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
Participants with Parkinson's disease and stroke described that wearables should be easy to learn and use.
“Participants with PD and stroke described that wearables should be easy to learn and use [65, 66, 68, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [65]
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- Authors
- Simone, L. K., Sundarrajan, N., Luo, X., Jia, Y., & Kamper, D. G.
- Affiliations
- New Jersey Institute of Technology (US)
- Kessler Institute for Rehabilitation (US)
- Shirley Ryan AbilityLab (US)
- Corresponding author
- Simone, Lisa K.
- ORCID
- Kamper, Derek G.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 160
- Issue
- 2
- Pages
- 335-348
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2155982455
- Cited by
- 154
- References
- 32
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 4 · 2023: 11 · 2022: 6 · 2021: 8 · 2020: 12 · 2019: 10 · 2018: 17 · 2017: 10 · 2016: 7 · 2015: 14 · 2014: 13 · 2013: 6 · 2012: 9
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neuroscience Methods (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Kessler Foundation
- National Institutes of Health
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD050821)
- Topics
- Health Sciences › Medicine › Surgery › Orthopedic Surgery and Rehabilitation
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- hand function assessment, acquired brain injury, home monitoring, repeatability, reliability statistics, wireless data transmission, user comfort, low-cost instrumentation
- MeSH terms
- Adult, Aged, Cost-Benefit Analysis, Disability Evaluation, Electrodes, Electrodiagnosis, Electrophysiology, Equipment and Supplies, Feasibility Studies, Feedback, Female, Fingers, Hand, Humans, Male, Middle Aged, Monitoring, Physiologic, Movement, Movement Disorders, Predictive Value of Tests, Telemetry, Gloves, Protective
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