Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings

Sensors

卷:21

Antti Alamäki¹  Elina Nevala¹  Juha Jalovaara¹  Anna Nordström²  Richard Davies³  Daniel Kelly³  James Gillespie³  Joan Condell³  Karla Muñoz Esquivel³  Shvan Karim³  John Barton⁴  Salvatore Tedesco⁴ 

[1] Department of Physiotherapy, Karelia University of Applied Sciences, Tikkarinne 9, FI-80200 Joensuu, Finland;

[2] Department of Public Health and Clinical Medicine, Umeå University, SE-901 87 Umeå, Sweden;

[3] Faculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK;

[4] Wireless Sensors Network Group, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland;

关键词: accuracy;    balance;    clinical diagnosis;    rehabilitation;    remote sensing;    sensor systems;   

DOI  :  10.3390/s21134438

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown