Case Study 2: Wearable ECG Anomaly Detection – Privacy-First Healthcare
Challenge A remote patient monitoring wearable required real-time arrhythmia detection directly on the device, without uploading sensitive ECG data to the cloud. The system needed to ensure high accuracy, ultra-low power consumption, and complete data privacy. Solution On-Device AI Model: TFLite Micro model trained on PhysioNet ECG dataset and synthetic variants. Lightweight Optimization: Model compressed […]
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