Faculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.
Department of Physiotherapy, Karelia University of Applied Sciences, Tikkarinne 9, FI-80200 Joensuu, Finland.
Sensors (Basel). 2021 Jun 28;21(13):4438. doi: 10.3390/s21134438.
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.
传感器技术的广泛应用对于释放远程康复的潜力至关重要。然而，在将传感器应用于远程康复实践之前，充分考虑可能影响实际应用的人为因素至关重要。康复和互联健康的智能传感器设备（SENDoc）项目评估了与远程康复老年人相关的传感器的人为因素。本文对人为因素进行了文献回顾，并提出了一个客观的评分系统，以评估平衡评估技术适应远程康复环境的可行性。必须考虑的主要因素有：部署限制、可用性、舒适性和准确性。本文表明，提高准确性、可靠性和有效性是专注于开发新型平衡评估技术的研究的主要目标。然而，与可用性相关的其他人为因素，如实用性、舒适性和易用性，需要研究人员进一步考虑，以帮助将技术推进到可以应用于远程康复环境的状态。
