IoT-driven wearable devices enhancing healthcare: ECG classification with cluster-based GAN and meta-features
Abstract: Highlights•Integrating edge computing into wearable devices enables real-time ECG classification.•The Wearable IoT Edge platform enhances device data insights and IoT capabilities.•Wearable interworking proxy improves data transfer between devices and oneM2M.•A cluster-based GAN addresses ECG data imbalance, thereby boosting model accuracy•CNNs and Transformers capture ECG signal patterns, thus enhancing data analysis accuracy.
External IDs:doi:10.1016/j.iot.2024.101405
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