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Communication Dans Un Congrès Année : 2018

Building IoT-Enabled Wearable Medical Devices: An Application to a Wearable, Multiparametric, Cardiorespiratory Sensor

Arthur Gatouillat
Bertrand Massot
Youakim Badr
Claudine Gehin

Résumé

Recent developments in personal and mobile healthcare have shown promising results in term of patients' quality of life and quality of care improvements. This can be achieved through continuous monitoring of patients' physiological functions using wearable non-invasive biomedical sensors. The remote collection and processing of such data can then be used to provide rapid medical response if a problem is detected or to offer preventive measures. However, the integration of wearable sensors into wider-scale framework is still a major challenge, as real-time data collection and remote configuration capabilities must be integrated to strongly constrained devices. Here, we show how such requirements can be integrated into a multiparameter, cardiorespiratory wearable sensor and how this sensor can be integrated into wide-scale Internet-based frameworks. We thus manufactured a biomedical-grade heart rate, instantaneous heart-rate variability and respiratory sensor. The sensor was tested in real life ambulatory condition, and we showed an Internet-based proof of concept exhibiting the integration of our sensor into wide-scale healthcare frameworks. Finally, we anticipate that wearable healthcare will greatly improve patients' quality-of-life by using IoT-based wearable devices similar to the sensor developed in this paper.
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Dates et versions

hal-01677241 , version 1 (18-10-2018)

Identifiants

Citer

Arthur Gatouillat, Bertrand Massot, Youakim Badr, Ervin Sejdić, Claudine Gehin. Building IoT-Enabled Wearable Medical Devices: An Application to a Wearable, Multiparametric, Cardiorespiratory Sensor. Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), Jan 2018, Funchal, Portugal. pp.109-118, ⟨10.5220/0006729101090118⟩. ⟨hal-01677241⟩
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