Kern Center for the Science of Healthcare Delivery
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摘要
The convergence of demographic shifts, increasing demand for continuous care, and sustained pressure on healthcare systems is accelerating the transition toward the Internet of Medical Things (IoMT). At the core of this transformation is wireless sensing—a contactless paradigm that leverages ambient radio-frequency (RF) signals to infer physiological and behavioral information. By exploiting these signals, it becomes possible to continuously monitor vital signs and human activities without the compliance burden associated with wearable devices.
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关键词
Neural Network,Human Activities,Vital Signs,Internet Of Things,Wearable Devices,Action Recognition,Wireless Sensor,Demand For Care,Fuzzy System,Behavioral Information,Computational Intelligence,Evolutionary Computation,Radio Frequency Signal,Monitoring Of Vital Signs,Sustained Pressure,Internet Of Medical Things,Electronic Health Records,Convolutional Neural Network,Optimization Algorithm,Generative Adversarial Networks,Reconfigurable Intelligent Surface,Orthogonal Frequency Division Multiplexing,Radar System,Radar Sensor,Wireless Local Area Network,Frequency Modulated Continuous Wave,Fuzzy Logic,Chest Wall,Hospital Wards,Domain Shift