Realization and Technology Acceptance Test of a Wearable Cardiac Health Monitoring and Early Warning System with Multi-Channel MCGs and ECG

Figures

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  Figure 1. Block diagram of CHAMP (Cardiac Health Assessment and Monitoring Platform).

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  Figure 2. (a) The PCB layout of CHAMP; (b) the photo of the soldered system.

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  Figure 3. The flowchart of the firmware for CHAMP.

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  Figure 4. (a) The output data packet of the system; (b) the timing breakdown of the firmware execution.

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  Figure 5. The prototype of multi-channel MCGs/ECG monitoring Smart Clothes.

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  Figure 6. (a) All feature points identified on the multi-channel MCGs/ECG waveforms; (b) the time sequence of all feature points and related cardiac time intervals.

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  Figure 7. The verification of the on-board AD8232 ECG monitored signal. (a) Comparison of electrode positions; (b) ECG signal comparison.

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  Figure 8. The frequency spectrum comparison of a single channel MCG signal before and after digital filtering in the gateway.

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  Figure 9. The timing signals of ECG and single channel MCG before (BLACK color) and after (RED color) digital filtering.

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  Figure 10. (a) Smart clothes worn by a subject with a mobile app for data receiving and auto identification of feature points; (b) the actual measured multi-channel MCGs/ECG signals plotted from the output data transmitted from the smart clothes.

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  Figure 11. Confirmation of identified ECG-R, ECG-Q, MCG-MC, MCG-AO, and MCG-AC feature points with an Aortic Valve M-mode echocardiography image.

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  Figure 12. Analysis of data from multi-channel MCGs/ECG smart monitoring clothes and the myo-cardiac function interpretation. (a) Bar chart comparison in different groups of subjects; (b) linear regression of PEP/LVET, i.e., CC, v.s. LVEF.