Abstract
The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing techniques, cheaper integrated circuits, and the development of connectivity technologies. In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring. Although we know the increasing importance of data processing techniques, our focus was on analyzing the implementation of sensors and biomedical applications. Although many themes overlap, we organized this review based on three groups: Sensors in Healthcare, Home Medical Assistance, and Continuous Health Monitoring; Systems and Sensors in Physical Rehabilitation; and Assistive Systems.
Highlights
The recent evolution of electronics and communication systems has been of great importance to the development of comfort devices
This review is subdivided into three major topics better present and correlate the studies: we present the most recent and relevant sensors andtosystems used for personal health care, home a)
Physical rehabilitation sensors and systems wherein we focus on health in of exercises as and; part of this theme; rehabilitation b) systems wherein wecommunication focus on health caredisplacement applied in (c)Physical
Summary
The recent evolution of electronics and communication systems has been of great importance to the development of comfort devices. Some reasons for this are the accessible technology, power systems that allow greater autonomy to devices, and miniaturization of electronic circuits, which are factors that enable the continuous monitoring of individuals [1]. Remote monitoring and ambulatory monitoring are growing needs in the healthcare environment [2]. These processes pass through stages of pre-analysis and feature extraction considering the applications of, for example, orthopedic, neurological, cardiovascular, and pulmonary problems. The remote monitoring provides increased data volume and for this reason, can promote a better diagnosis for diseases [3], improve athlete performance [4,5], and/or accelerate patient rehabilitation processes [6,7]
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