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Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

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SENSORS
卷 22, 期 2, 页码 -

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MDPI
DOI: 10.3390/s22020438

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health monitoring; plantar pressure distribution; gait analysis; wearable sensors; medical device; smart insole; pressure sensor; IMU

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Wearable health monitoring devices can measure various physiological parameters to provide information about an individual's health and well-being. Insole-based sensor systems, such as those measuring PPD, can offer a comprehensive understanding of an individual's health without interrupting daily activities. This review discusses existing solutions and future considerations for fully integrated insole-based health monitoring systems.
Wearable health monitoring devices allow for measuring physiological parameters without restricting individuals' daily activities, providing information that is reflective of an individual's health and well-being. However, these systems need to be accurate, power-efficient, unobtrusive and simple to use to enable a reliable, convenient, automatic and ubiquitous means of long-term health monitoring. One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual's health. This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems developed in recent years. Existing solutions are reviewed, and several open issues are presented and discussed. The concept of a fully integrated insole-based health monitoring system and considerations for future work are described. By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual's health and well-being can be obtained without interrupting day-to-day activities. The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.

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