Details
Presenter(s)
![Syed Muhammad Abubakar Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/23081.jpg?h=5e6f4885&itok=2ldEONVx)
Display Name
Syed Muhammad Abubakar
- Affiliation
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AffiliationTsinghua University
- Country
Abstract
A wearable single lead Ternary Neural Network-based processor for the detection of eight different types of Cardiac Arrhythmias is presented in this paper. The proposed system can detect both shockable and non-shockable cardiac arrhythmias with high accuracy and provides defibrillation support.