The aging societies require disruptive technologies and digitization of health is one of these. Similar to the controller area network bus of (smart) cars we have developed a bus-based system for smart homes. We consider both, vehicles and homes as private spaces, which, in contrast to smart wearables or smart clothes, provide sufficient power supply, computer, and storage hardware. Today's homes and cars are already equipped with a variety of sensors that deliver data relevant with respect to health. The daily delay between opening of bedroom and bathroom doors, or the time between opening the car's door and starting its engine indicates mobility. We further empower eHealth if private spaces are equipped with medical sensors (Step I of the required transforms). However, unobtrusive continuous monitoring of vital signs and biosignals is no yet explored clinically, and data to train artificial intelligence is missing. We propose steering wheel integrated electrocardiography (ECG) recording in smart vehicles and capacitive ECG recording in the chair and bed of the smart home for stroke prevention due to early detection of latent atrial fibrillation. Furthermore, the processing unit needs data warehousing and analytics (Step II). The communication interface needs semantic operability and secure channels, which we propose to establish using the international standard accident number (ISAN) (Step III). Finally, the combination with a medical application such as stroke prevention (Step IV) turns smart environments into private diagnostic spaces.
CITATION STYLE
Deserno, T. M. (2020). Transforming Smart Vehicles and Smart Homes into Private Diagnostic Spaces. In ACM International Conference Proceeding Series (pp. 165–171). Association for Computing Machinery. https://doi.org/10.1145/3379310.3379325
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