Continuous in-vehicle health monitoring enables the earlier detection of diseases. Therefore, we developed a redundant sensor system for heartbeat measurement, which is composed of an electrocardiogram (ECG), and photoplethysmogram (PPG), and a camera. The signals are recorded in the different driving scenarios: i. rest (5 min), ii. city (15 min), iii. highway (15 min), and vi. rural (15 min). We recorded the ECG, PPG, RGB video, and reference ECG of 19 subjects in a research car (Tiguan, Volkswagen AG, Wolfsburg, Germany). To extract the cheek face segment, we integrated a face recognition engine, which detects in real-time the position of face landmarks. From this face segment, we extracted the RGB channel of the RGB video. In summary, the recorded data provides information about the usable time for medical analysis during driving.


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    Title :

    Robust In-Vehicle Heartbeat Detection Using Multimodal Signal Fusion


    Contributors:

    Publication date :

    2023-11-16



    Type of media :

    Research Data


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    6 / 61 / 629




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