Revolutionizing Engine Manufacturing: IoT-Driven Heartbeat Monitoring with Agentic AI Innovations

Abstract

The heartbeat sensor includes photoplethysmography (PPG) technology that can detect the heart rate optically. The architecture will do the data processing and machine learning model inference to predict the heart rate. The general block diagram is to have the sensor collecting data and a microcontroller board doing pre-processing capabilities, such as FFT. A host computer will run the machine learning model so all the Interpretation can be python scripts uploaded to the microcontroller board.

AMED is a health, care, and welfare R&D organization that has been tasked by the Japanese government to support its national strategies while promoting research toward addressing highly social needs. It is also the Ministry of Health, Labor, and Welfare that has been the central government of the comprehensive health and welfare field in Japan. Since 2000, an average of 20% of the national annual budget has been appropriated to Japan’s health and welfare fields. The overall target of the national strategy, as stipulated in a policy document created by the form of council, are as follows. Higher value-added industries stimulate the economy and improve Japan’s international competitiveness. Medical care reform promoting preventive measures for health and welfare problems. High-quality services raise Japan’s attractiveness.