Feasibility of sensor technology for balance assessment in home rehabilitation settings.

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Kelly, Daniel
Esquivel, Karla M.
Gillespie, James
Condell, Joan
Davies, Richard
Karim, Shvan
Nevala, Elina
Alamäki, Antii
Jalovaara, Juha
Barton, John
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The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor devices for rehabilitation and connected health (SENDoc) project assesses the human factors associated with sensors for remote rehabilitation of elders in the Northern Periphery of Europe. This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation settings. The main factors that must be considered are: Deployment constraints, usability, comfort and accuracy. This article shows that improving accuracy, reliability and validity is the main goal of research focusing on developing novel balance assessment technology. However, other aspects of usability related to human factors such as practicality, comfort and ease of use need further consideration by researchers to help advance the technology to a state where it can be applied in remote rehabilitation settings.
Accuracy , Balance , Clinical diagnosis , Rehabilitation , Remote sensing , Sensor systems , Wearable sensors
Kelly, D., Esquivel, K. M., Gillespie, J., Condell, J., Davies, R., Karim, S., Nevala, E., Alamäki, A., Jalovaara, J., Barton, J., Tedesco, S. and Nordström, A. (2021) ‘Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings’, Sensors. MDPI AG, 21(13), 4438, (24 pp). doi: 10.3390/s21134438.
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