2024 BrainChip Discussion, page-9166

It is probably not a coincidence that Tata Consulting Services the Research arm of the Tata Group is working on the following when Tata Elxsi partnered with Brainchip is driving adoption of AKIDA technology in medical:

Atrial Fibrillation Detector from ECG on Wearable Edge Devices using Spiking Neural Networks

D Banerjee, S Dey, A Pal - … Conference on Neural Networks …, 2024 - ieeexplore.ieee.org

… tomated screening performed by diagnostic instruments with AI capabilities. This increases the … Our SNN has not been tested on real NC devices such as Brainchip Akida [15] and Intel

Abstract:Real-time monitoring of ECG signals in wearable and implanted edge devices, such as smart watches, ILRs, pace-makers etc. is essential for early clinical intervention in Cardio-Vascular illnesses. Existing deep learning-based algorithms are not suitable for such battery-powered, low-power, low-memory devices. In this paper, a new peak-based Spiking Hamilton (SH) encoder is proposed and its performance for classifying Atrial Fibrillation (AF) patterns in ECG signal is tested and compared with three existing encoders by deploying reservoir-based SNN and a feed-forward SNN and on five well known ECG dataset. Feed-forward SNN, coupled with proposed SH encoder, achieves best performance while requiring the least amount of computational effort and power. This system running on Neuromorphic Computing (NC) platforms could therefore be a good option for classifying ECG patterns at the wearable edge.View less

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