Key result
IoT-based healthcare architectures integrating ECG sensors and artificial intelligence can enable remote, real-time monitoring and immediate medical alerts for patients with cardiac conditions.
Why the study?
The study was conducted to create a customized IoT architecture for health applications using ECG, medical kit monitoring, and AI to identify diseases and provide immediate treatment.
Answers are grounded in this paper and cite their sources.
This paper outlines a conceptual IoT architecture for remote ECG monitoring to enable real-time healthcare delivery and tracking.
Nowadays present is the beginning of the future with new computing technology in IoT-internet of things consists of a sort of “universal global neural networks” in the cloud computing internet with connecting various devices and machines interacting with help of it we are going to do research in the medical field with help of “artificial intelligence”-AI check’s automatically kept patients verified with help of sharp sensors and medical gadget blend. I have created IoT-architecture customized for health applications to improve the lifestyle of patients and to utilize the new various technology in different areas in every living organism. In this field two fields of easy monitoring with help of “ECG and medical-kit” any change in easy identification diseases and given treatment immediately on spot. While treatment will be given anywhere in the world located GPS-tracking and alert given to doctors & families etc. after treatment facilities given progress as per doctor consultations.
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Reddy et al. (2023) conducted a review in Cardiac Pathologies. IoT-based ECG and medical kit was evaluated. IoT-based healthcare architectures integrating ECG sensors and artificial intelligence can enable remote, real-time monitoring and immediate medical alerts for patients with cardiac conditions.
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