Inter-modal and Intra-modal interference in a Multi-Modal Sensor for Non-contact Monitoring of Vital Signs in Patient Beds

Yu, Xinchi; Neu, Wilko; Teichmann, Daniel; Vetter, Maik Pascal; Leonhardt, Steffen; Bollheimer, Leo Cornelius

doi:10.18154/rwth-conv-224906

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“…The frequency of the oscillator can be varied since the circuit includes two varicaps, BBY66 (Infineon Technologies AG, Neubiberg, Germany), which act as voltagedependent capacitors in such a way that their value can be adjusted using the analogue output of the µC. The fine adjustment of the frequency is necessary to suppress crosstalk between the four sensors [40]. The frequency is around 100 MHz.…”

Section: Xu Sensorsmentioning

confidence: 99%

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A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs

Linschmann

Uguz

Romanski

et al. 2023

Sensors

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With higher levels of automation in vehicles, the need for robust driver monitoring systems increases, since it must be ensured that the driver can intervene at any moment. Drowsiness, stress and alcohol are still the main sources of driver distraction. However, physiological problems such as heart attacks and strokes also exhibit a significant risk for driver safety, especially with respect to the ageing population. In this paper, a portable cushion with four sensor units with multiple measurement modalities is presented. Capacitive electrocardiography, reflective photophlethysmography, magnetic induction measurement and seismocardiography are performed with the embedded sensors. The device can monitor the heart and respiratory rates of a vehicle driver. The promising results of the first proof-of-concept study with twenty participants in a driving simulator not only demonstrate the accuracy of the heart (above 70% of medical-grade heart rate estimations according to IEC 60601-2-27) and respiratory rate measurements (around 30% with errors below 2 BPM), but also that the cushion might be useful to monitor morphological changes in the capacitive electrocardiogram in some cases. The measurements can potentially be used to detect drowsiness and stress and thus the fitness of the driver, since heart rate variability and breathing rate variability can be captured. They are also useful for the early prediction of cardiovascular diseases, one of the main reasons for premature death. The data are publicly available in the UnoVis dataset.

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Section: Xu Sensorsmentioning

confidence: 99%

“…The frequency is around 100 MHz. According to [40], the sensors are placed more than 10 cm apart from each other to reduce crosstalk.…”

Section: Xu Sensorsmentioning

confidence: 99%

A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs

Linschmann

Uguz

Romanski

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Inter-modal and Intra-modal interference in a Multi-Modal Sensor for Non-contact Monitoring of Vital Signs in Patient Beds

Cited by 1 publication

References 0 publications

A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs

A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs

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