High Accuracy Abnormal ECG Detection Chip Using a Simple Neural Network

Arrhythmias can be a sign of heart disease. If the heart is abnormal, using a wearable to monitor the heart rate can help us seek immediate medical attention. This work uses a deep learning network to build a simple architecture with only 3 layers that can achieve 98.5% high accuracy. Of the 3 layers, only 2 have computational power, Dense and Softmax. Therefore, the use of multipliers is reduced, and the area can be reduced in hardware implementation. This work implemented the proposed chip using TSMC 90nm CMOS technology, realizing a chip with an operating frequency of 50MHz, an area of 0.654x0.651mm(2), and maximum power consumption of 0.64 mW.