The SENDoc paper Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings has been published in MDPI Sensors Special Issue "State-of-the-Art Sensors Technologies in Ireland 2020". The study was lead by SENDoc sensor specialists Daniel Kelly, Karla Munoz Esquivel, and James Gillespie from the Intelligent Systems Research Centre, Ulster University. The abstract of the article is below. To view the full publication, click here.

"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."