Dighanchal Banerjee, Sounak Dey, Arpan Pal
Embedded Devices & Intelligent Systems, TCS Research, Kolkata, India Email: {dighanchal.b|sounak.d|
arpan.pal}@tcs.comAbstract—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.…
VI. CONCLUSION, LIMITATION & FUTURE WORKS
In this paper, we demonstrate the effectiveness of a spike- based encoder with multiple spike networks for ECG clas- sification by testing on five diverse ECG datasets. The per- formance of the proposed SH encoder can be improved by removing noise peaks in the ECG signal by combining signals from other low power auxiliary sensors like accelerometer. Our SNN has not been tested on real NC devices such as Brainchip Akida [15] and Intel Loihi [14]. We plan to identify SNNs and encoders on this device in the future.“
Wearable Medical Device Market Outlook from 2024 to 2034
The global wearable medical deviceindustry size is likely to generate sales amounting to USD 38.5 billion in 2024. Over the assessment period from 2024 to 2034, the wearable medical device market CAGR is projected to expand to 8.2%, culminating in a market size of USD 84.8 billion by the end of 2034.
Wearable medical devices are playing an important part in the cardiovascular device industry. The revolutionary technologies, which range from smartwatches to continuous monitoring devices, provide new opportunities for real time health tracking, early diagnosis of cardiovascular abnormalities, and personalized patient treatment. The use of wearable technologies in cardiovascular healthcare represents a paradigm change toward preventative and proactive healthcare solutions, eventually improving patient outcomes and disease management.
https://www.googleadservices.com/pagead/aclk?sa=L&ai=DChcSEwi3hI2v7YSJAxVizTwCHQikC1YYABArGgJzZg&ae=2&co=1&gclid=EAIaIQobChMIt4SNr-2EiQMVYs08Ah0IpAtWEAAYAiAAEgLwy_D_BwE&ohost=www.google.com.au&cid=CAASJORo7S7jkr4606PfzNXpe-tlt_fAIYQdT6VjbNz11XtA2DLDbw&sig=AOD64_1yP0OZqrfYAyjEmkbjbYM0qsEk2w&q&adurl&ved=2ahUKEwjFuImv7YSJAxWBzTgGHU0bMhsQ0Qx6BAgOEAEBrainchip has been engaged with Tata Consulting Services since at least 14.12.2019. Brainchip has officially partnered with Tata Elxsi which has the stated intention of driving the adoption of AKIDA technology for medical and industrial use cases.
Wearables for medical use is a flourishing market and AKIDA Pico is aimed at the wearables market.
My opinion only DYOR
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