Abstract
AbstractThe Internet of Medical Things (IoMT) is the gathering and implementation of healthcare tools connected to public healthcare technology infrastructure via Internet-based communications systems. Medical devices with wireless fidelity allow machine-to-machine interaction which is the basis of IoMT. The smart use of resources allowed by the IoMT has raised the prospects of both the technical and consumer communities. The IoMT healthcare system turns everyday physical objects, medical devices that surround us into a smart entrenched healthcare system. It is well known that an effective healthcare monitoring system can detect health conditions abnormalities in time and make diagnoses using wearable body sensors network. Despite significant progress within the monitoring device industry, there is still limited widespread integration of wearable body sensors network into medical practice. However, the design of an IoMT healthcare system, such as security, authentication, and data exchange, presents many challenges. Therefore, this chapter proposes an architecture of an intelligent IoMT healthcare system for monitoring patients’ health using a wearable body sensor network. The system will use ensemble tree-based learning to disclose patterns and knowledge on patient health condition and its possible preventions. The proposed method advises and alerts medical personnel in real-time about the changing of the health condition of patients to suggest preventive measures in saving lives. The integration of the IoMT-based wearable body sensors network shows improvement in patients’ health conditions.KeywordsInternet of medical thingsWearable body sensors networkHealthcareMonitoring systemPatient
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