A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson.

Autor: Kota VD; Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA., Sharma H; Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA., Albert MV; Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA., Mahbub I; Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA., Mehta G; Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA., Namuduri K; Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Feb 17; Vol. 23 (4). Date of Electronic Publication: 2023 Feb 17.