An Optimal, Power Efficient, Internet of Medical Things Framework for Monitoring of Physiological Data Using Regression Models

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 11; p. 3429
• Main Authors: Mishra, Amitabh, Liberman, Lucas S., Brahamanpally, Nagaraju
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.05.2024; MDPI
• Subjects: Algorithms; Analysis; Architecture; arterial pressure (ART); Communication; Cost reduction; Electric power production; Electric Power Supplies; electrocardiogram (ECG/EKG); Geriatrics; Health care expenditures; Humans; Internet; Internet of Medical Things (IoMT); Internet of Things; Monitoring, Physiologic - methods; Patients; Physiology; Power; regression; Regression Analysis; Sensors; Smartphones; Telemedicine; electrocardiogram (ECG/EKG); arterial pressure (ART); Internet of Medical Things (IoMT); regression

The sensors used in the Internet of Medical Things (IoMT) network run on batteries and need to be replaced, replenished or should use energy harvesting for continuous power needs. Additionally, there are mechanisms for better utilization of battery power for network longevity. IoMT networks pose a u...