The term IoT refers to a network of connected devices and technology that facilitates communication between devices. IoT is now a rapidly evolving technology. Internet of Things have revolutionized healthcare and promoted the development of wearable healthcare devices which are portable as well. This review explores the different research studies that have been conducted in the recent years in the field of IoT (Internet of Things) in healthcare. The paper explores the various solutions to the different critical health conditions. Some of these include Parkinson's disease, muscle fatigue detection, radiation monitoring, diabetic retinopathy and many more. Each study explores the idea of the framework, their battery and power management and the mode of communication. The devices incorporate IoT along with deep learning, dynamic sensor configuration, user friendly design, advanced microcontrollers with Wi-Fi modules, sensors with energy saving mechanisms. Despite their innovation, challenges such as noise reduction, power consumption, and data security remain prevalent. This review provides comprehensive analysis of some selected papers highlighting their contributions to healthcare. By synthesizing these findings, this paper aims to guide future research in designing efficient, sustainable, and user-friendly IoT healthcare devices for improving patient outcomes and accessibility to medical care.

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IoT in Healthcare a Comprehensive Review

  • Arna Kundu,
  • Soumyodip Choudhury,
  • Sanchita Ghosh,
  • Reshma Kar

摘要

The term IoT refers to a network of connected devices and technology that facilitates communication between devices. IoT is now a rapidly evolving technology. Internet of Things have revolutionized healthcare and promoted the development of wearable healthcare devices which are portable as well. This review explores the different research studies that have been conducted in the recent years in the field of IoT (Internet of Things) in healthcare. The paper explores the various solutions to the different critical health conditions. Some of these include Parkinson's disease, muscle fatigue detection, radiation monitoring, diabetic retinopathy and many more. Each study explores the idea of the framework, their battery and power management and the mode of communication. The devices incorporate IoT along with deep learning, dynamic sensor configuration, user friendly design, advanced microcontrollers with Wi-Fi modules, sensors with energy saving mechanisms. Despite their innovation, challenges such as noise reduction, power consumption, and data security remain prevalent. This review provides comprehensive analysis of some selected papers highlighting their contributions to healthcare. By synthesizing these findings, this paper aims to guide future research in designing efficient, sustainable, and user-friendly IoT healthcare devices for improving patient outcomes and accessibility to medical care.