Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano
The history of medicine shows that myocardial infarction is one of the significant causes of death in humans. The rapid evolution in autonomous technologies, the rise of computer vision, and edge computing offers intriguing possibilities in healthcare monitoring systems. The major motivation of the...
Saved in:
| Main Authors: | H. M. Mohan, S. Anitha, Rifai Chai, Sai Ho Ling |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Advances in Human-Computer Interaction |
| Online Access: | http://dx.doi.org/10.1155/2021/6483003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Implementation of Visual Odometry on Jetson Nano
by: Jakub Krško, et al.
Published: (2025-02-01) -
AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO
by: Ngoc Giau Pham, et al.
Published: (2024-09-01) -
Deteksi Helm Keselamatan Menggunakan Jetson Nano dan YOLOv7
by: Hadi Supriyanto, et al.
Published: (2024-02-01) -
Aspects of autonomous drive control using NVIDIA Jetson Nano microcomputer
by: Kacper Podbucki, et al.
Published: (2022-09-01) -
Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5
by: Zaihui Deng, et al.
Published: (2023-01-01)