Project Figures 1

Fig. 1. a) A CS-based wireless health monitoring system with desired system requirements: on-body WSNs that utilize a unified random encoding scheme to compress data for low energy and a mobile data aggregator that performs real-time signal reconstruction for timely prediction and proactive prevention. To further reduce the data size for storage or processing, only the sparse coefficients of the signal are reconstructed. Reconstruction takes <1% of the mobile’s power, allowing 2-3x energy saving of the sensors. b) Amplitude and frequency characteristics of ExG signals.