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Samsung Galaxy Watch7 can use artificial intelligence to detect a major health problem

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It looks like Samsung wants to make the upcoming Galaxy Watch7 the best health tracker on the market, at least if we go by rumors and leaks. recently A proposed report which Samsung may include Non-invasive blood glucose monitoring on his Galaxy Watch7. Another leak has surfaced online, revealing that Samsung may be working on another neat feature for the Galaxy Watch.

According to A patent Filed by Samsung, the company may include the AFib (atrial fibrillation) monitoring feature in its Galaxy Watch7. However, the patent information doesn’t give us any certainty that the functionality might be ready in time for the Galaxy Watch7. So, it may arrive alongside the Galaxy Watch7, the rumored Galaxy Watch ‘Ultra’, or it could be reserved for a future Galaxy Watch.

The AFib (atrial fibrillation) detection functionality could be a big deal if Samsung gets it right. AFib is a condition where the heart beats too slowly, too fast, or irregularly, which is very dangerous.

AFib can happen for a short time or can be a permanent condition in anyone. According to a report by the Centers for Disease Control and Prevention (CDC)More than 454,000 hospitalizations with AFib are reported each year in the United States.

Samsung is reportedly using artificial intelligence (AI) to detect AFib. According to the patent, artificial intelligence can help Samsung convert the measured photoplethysmography (PPG) signals into ECG signals. However, the patent says that current models of converting PPG to ECG algorithms are “data hungry and not robust”.

The patent notes that the current methods of CardioGAN, which is an attention-based generative adversarial network for generating ECG, do not provide assessment of arrhythmias and require a large amount of data for accurate information.

Furthermore, it will be interesting to see how Samsung deploys this technology on a wearable device because complex learning models are resource-intensive, and wearables are very resource-constrained.

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