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Open AccessProceedings

Contactless Sleep Monitoring Measurement Setup

Medical and Mechanical Engineering, Furtwangen University, 78120 Furtwangen, Germany
Author to whom correspondence should be addressed.
Presented at the Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018.
Proceedings 2018, 2(13), 1083;
Published: 20 November 2018
(This article belongs to the Proceedings of Eurosensors)
In this work, a contactless measurement setup based on a low-cost weighing scale sensor is presented. The positioning of the sensor is a key point in our work with ballistocardiographic (BCG) measurements. This was demonstrated using a strain-gauge sensor placed at the head of the mattress to record the BCG signals, while an unsupervised machine learning algorithm was implemented to detect respiratory and cardiac cycles from patients laying in different postures. Comparison of BCG with electrocardiography (ECG) has shown the ability to detect, at least, 75% of every single heartbeat with the suggested setup and algorithm irrespective of patient’s postures.
Keywords: balliscardiography; strain-gauge sensor; contactless sensing; machine learning balliscardiography; strain-gauge sensor; contactless sensing; machine learning
MDPI and ACS Style

Lima, F.; Albukhari, A.; Zhu, R.; Mescheder, U. Contactless Sleep Monitoring Measurement Setup. Proceedings 2018, 2, 1083.

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