Technical Properties of a Sensor-Aided Key Rig for Hand Function Measurement: A Proof of Concept Study

Objective quantification of hand functions using sensorized devices has gained recognition lately in clinical practice. Traditional clinical assessment scales lack precision and quantifiability, prompting the exploration of new methodologies. The following work focuses on the design, development, and testing of a sensorized key rig that can be used to perform quantifiable metrics of hand functions. Leveraging advancements in sensor technology, the study developed an instrumented key rig equipped with an off-center load cell for accurate pinch force measurement. In addition, a magnetic rotary encoder was added to track the key-turning movement. Calibration and testing procedures ensured the rig’s reliability and repeatability. Results demonstrated consistent and precise measurements with the reliability intraclass correlation coefficient (ICC) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${p} \,\, =0.99996$ </tex-math></inline-formula>, highlighting the key-rig device potential for clinical motor function assessment and rehabilitation monitoring. Further research could explore its comparative effectiveness and clinical applications with stroke survivors.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-11-15
DOI
https://doi.org/10.1109/jsen.2024.3494814
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37

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Technical Properties of a Sensor-Aided Key Rig for Hand Function Measurement: A Proof of Concept Study

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IEEE Sensors Journal
Hand Gesture Recognition Systems
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article

Technical Properties of a Sensor-Aided Key Rig for Hand Function Measurement: A Proof of Concept Study

Wei Tech Ang, Ananda Sidarta, I-Ling Yeh, Eloise Lie, Jun Liang Lau, Pablo Cruz González, Lek Syn Lim, Wei Chuan Law, Li Jing Soh
article en
1 citations

Abstract

Objective quantification of hand functions using sensorized devices has gained recognition lately in clinical practice. Traditional clinical assessment scales lack precision and quantifiability, prompting the exploration of new methodologies. The following work focuses on the design, development, and testing of a sensorized key rig that can be used to perform quantifiable metrics of hand functions. Leveraging advancements in sensor technology, the study developed an instrumented key rig equipped with an off-center load cell for accurate pinch force measurement. In addition, a magnetic rotary encoder was added to track the key-turning movement. Calibration and testing procedures ensured the rig’s reliability and repeatability. Results demonstrated consistent and precise measurements with the reliability intraclass correlation coefficient (ICC) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${p} \,\, =0.99996$ </tex-math></inline-formula>, highlighting the key-rig device potential for clinical motor function assessment and rehabilitation monitoring. Further research could explore its comparative effectiveness and clinical applications with stroke survivors.

IEEE Sensors JournalVol. 25(1)
Singapore Institute of Technology (SG), Nanyang Technological University (SG), Singapore General Hospital (SG)
Singapore-ETH Centre
Openalex Percentile: Top 37%
Hand Gesture Recognition Systems
0.37
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