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New chip for wearables has AI-powered heart attack detection baked in
Researchers at the University of Mississippi have developed technology to detect heart attacks in real time with a high degree of accuracy, and packed it into a chip that could fit in a wearable device. The team hopes it may someday feature in life-saving medical gadgets.
Researchers at the University of Mississippi have developed technology to detect heart attacks in real time with a high degree of accuracy, and packed it into a chip that could fit in a wearable device. The scientists' work combines an effective mathematical technique called Fast Fourier Transform (FFT) for analyzing electrocardiogram (ECG) signals with artificial neural networks that can classify them as "normal" or "heart attack-like" all on a power-efficient chip. It's worth noting that the FFT technique has been around for a long while now, and numerous firms working on ECG monitoring tech like Fourth Frontier utilize AI in their pipelines.
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