# Embedded AI-Based Digi-Healthcare
###### Abstract  
Healthcare is an indispensable part of human life and chronic illnesses like cardiovascular diseases (CVD) have a deeply negative impact on the healthcare sector. Since the ever-growing population of chronic patients cannot be managed at hospitals, therefore, there is an urgent need for periodic monitoring of vital parameters and apposite treatment of these patients. In this paper, an Internet of Medical Things (IoMT) -based remote patient monitoring system is proposed which is based on Artificial Intelligence (AI) and edge computing. The primary focus of this paper is to develop an embedded prototype that can be used for remote monitoring of cardiovascular patients. The system will continuously monitor physiological parameters like body temperature, heart rate, and blood oxygen saturation, and then report the health status to the authenticated users. The system employs edge computing to perform multiple functionalities including health status inference using a Machine Learning (ML) model which makes predictions on real-time data, alert notifications in case of an emergency, and transferring data between the sensor network and the cloud. A web-based application is developed for the depiction of raw data and ML results and to provide a direct communication channel between the patient and the doctor. The ML module achieved an accuracy of 96.26% on the test set using the K-Nearest Neighbors (KNNs) algorithm. This solution aims to address the sense of emergency due to the alarming statistics that highlight the mortality rate of cardiovascular patients. The project will enable a smart option based on IoT and ML to improve standards of living and prove crucial in saving human lives. E 28 November 2021 31 December 2021 5 January 2022 31 December 2021 31 December 2021 31 January 2022 31 December 2021 31 December 2021 31 December 2021 3  
researchers to develop mobile health monitoring devices that record vital health parameters on a configured basis. Such systems allow medical providers to remotely monitor their patients and oversee their treatment. The IoT technology has eliminated geographical distances and constraints between doctors and patients. It has also allowed the providence of state-of-art medical services to patients who are located in remote areas and are generally deprived of such luxuries. Remote health monitoring is the primary concern of today's time. Health specialists and researchers are always looking for a modernized system that not only enables the monitoring of the vitals but also makes precise diagnoses and suggestions about the users' health considering all the previous and present medical conditions of the patient. With the advancement in medical technology, it is now possible not only to monitor the patients but also to enable communication between them and the doctors. In today's world, the most commonly used remote patient monitoring devices are Bluetooth-enabled glucometers, manometers, spirometers, and weight scales [3]. These devices wirelessly send data to the cloud via a mobile application. This enables the doctors to monitor their patients' condition and make suggestions accordingly. One must be thankful to modern technology for the innovations that have made data exchange and processing fast and secure. AI and IoT have taken the healthcare industry by storm, providing state-of-the-art care even to people located in far-flung areas. Machine Learning (ML) techniques are revolutionizing the digital healthcare sector. AI plays a vital role in IoT-based remote patient monitoring systems for disease diagnosis and prevention. In order to maintain the health of cardiovascular patients, it is of utmost importance that their diseases are diagnosed as soon as possible. Moreover, in the IoT environment, large amounts of data are generated by sensors. This data has invaluable healthcare information and hence it is important to analyze it for improvement in medical technologies.