Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings

Daniel Kelly, Karla Munoz Esquivel, James Gillespie, Joan Condell, RJ Davies, Shvan Karim, Elina Nevala, Antti Alamäki, Juha Jalovaara, Salvatore Tedesco, John Barton, Anna Nordström

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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Abstract

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 is assessing 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.
Original languageEnglish
Article number1263221
Number of pages29
JournalSensors
Early online date28 Jun 2021
DOIs
Publication statusE-pub ahead of print - 28 Jun 2021

Keywords

  • Accuracy
  • Balance
  • Clinical diagnosis
  • Rehabilitation
  • Remote sensing
  • Sensor Systems
  • Wearable sensors

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