e-AI Healthcare Device Development Kit

This is a demo for the biomedical information monitor module. It measures pulse and electrocardio data simultaneously at a maximum of 1kHz and sends this data to a PC via low-energy Bluetooth.

 

Added on 5月 24, 2018

A demonstration of the biomedical information monitor module.


e-AI Solution Videos

1:15
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
1:45
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
1:10
This video demonstrates predictive maintenance of equipment through the use of e-AI.
1:09
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
2:17
This video provides a demonstration of the biomedical information monitor module.
1:51
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
1:21
Using a printer as an example, this video shows a device forecasting its own failure.
1:15
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
1:45
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
1:10
This video demonstrates predictive maintenance of equipment through the use of e-AI.
1:09
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
2:17
This video provides a demonstration of the biomedical information monitor module.
1:51
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
1:21
Using a printer as an example, this video shows a device forecasting its own failure.
1:15
Embedded AI (e-AI) makes motor control more intelligent. This demonstration shows motor control and fault detection with a Renesas MCU.
1:45
This demonstration shows an AI unit solution connected to actual equipment, where an abnormality judgment is made.
1:10
This video demonstrates predictive maintenance of equipment through the use of e-AI.
1:09
This video shows a demonstration of a biological monitoring solution for home healthcare applications.
2:17
This video provides a demonstration of the biomedical information monitor module.
1:51
This video shows a demonstration of a parking lot management system coordinating with peripheral devices.
1:21
Using a printer as an example, this video shows a device forecasting its own failure.