Iadarola Grazia, Mengarelli Alessandro, Crippa Paolo, Fioretti Sandro, Spinsante Susanna
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy.
Sensors (Basel). 2024 Nov 21;24(23):7439. doi: 10.3390/s24237439.
Forecasts about the aging trend of the world population agree on identifying increased life expectancy as a serious risk factor for the financial sustainability of social healthcare systems if not properly supported by innovative care management policies. Such policies should include the integration within traditional healthcare services of assistive technologies as tools for prolonging healthy and independent living at home, but also for introducing innovations in clinical practice such as long-term and remote health monitoring. For their part, solutions for active and assisted living have now reached a high degree of technological maturity, thanks to the considerable amount of research work carried out in recent years to develop highly reliable and energy-efficient wearable sensors capable of enabling the development of systems to monitor activity and physiological parameters over time, and in a minimally invasive manner. This work reviews the role of wearable sensors in the design and development of assisted living solutions, focusing on human activity recognition by joint use of onboard electromyography sensors and inertial measurement units and on the acquisition of parameters related to overall physical and psychological conditions, such as heart activity and skin conductance.
关于世界人口老龄化趋势的预测一致认为，如果没有创新的护理管理政策的适当支持，预期寿命的增加将成为社会医疗保健系统财务可持续性的严重风险因素。此类政策应包括将辅助技术整合到传统医疗服务中，作为延长在家健康和独立生活的工具，同时也应包括在临床实践中引入创新，如长期和远程健康监测。就主动和辅助生活解决方案而言，由于近年来开展了大量研究工作，以开发高度可靠且节能的可穿戴传感器，这些传感器能够以微创方式长期监测活动和生理参数，从而推动系统的发展，如今主动和辅助生活解决方案已达到了高度的技术成熟度。本文综述了可穿戴传感器在辅助生活解决方案设计与开发中的作用，重点关注通过联合使用板载肌电图传感器和惯性测量单元进行人体活动识别，以及获取与整体身体和心理状况相关的参数，如心脏活动和皮肤电导率。
