Smart Embedded Sensor and Machine Learning Based Patient Health Monitoring System with IoT Technology

Abstract

 The wireless sensor network-based correspondence framework has exhibited a normally quick and favorable turn of events in the field of health, and it has been applied to testing framework applications. The execution wellbeing control framework includes the human wellbeing control framework, detection of the spread of hazardous synthetic chemicals, and surveillance of patients' recuperation relationships considering distance. A remote sensor network has been used in the medical field to help with activities like detecting a patient's pulse. Checking your heart health is critical to remaining healthy, especially as you age. This method is expected to identify the patient's cardiac characteristics. As the number of patients increases, the importance of professionals or medical attendants in controlling their condition will expand. Along these lines, a solution that might aid specialists or medical careers in tracking the advancement of patients' health over time was required. This work describes the design and implementation of a patient cardiac monitoring system considering Wireless sensor organization. This method employs an electrocardiograph, which is implanted on the patient's body and sent to a server.