A method of detection of respiration rate on Android using UWB Impulse Radar

Park, Young Jin; Cho, Hui Sup; Lyu, Hong Kun

doi:10.1016/j.icte.2016.08.012

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…The literature shows that RR has been measured using UWB radar using many different algorithms. Application scenarios include in-car [12], in clinical environments [13], at home [14], [15] or portable when installed with a mobile phone [16] etc. Testing distances between object and radar are generally from 0.5 to 2 meters, except for [14], which is up to 8m.…”

Section: Resultsmentioning

confidence: 99%

Towards Robust, Unobtrusive Sensing of Respiration Using UWB Impulse Radar for the Care of People Living with Dementia

Chen

Bannon

Rapeaux

et al. 2021

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)

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The unobtrusive monitoring of vital signals and behaviour can be used to gather intelligence to support the care of people living with dementia. This can provide insights into the person's wellbeing and the neurogenerative process, as well as enable them to continue to live safely at home, thereby improving their quality of life. Within this context, this study investigated the deployability of non-contact respiration rate (RR) measurement based on an Ultra-Wideband (UWB) radar System-on-Chip (SoC). An algorithm was developed to simultaneously and continuously extract the respiration signal, together with the confidence level of the respiration signal and the target position, without needing any prior calibration. The radar-measured RR results were compared to the RR results obtained from a ground truth measure based on the breathing sound, and the error rates were within 8% with a mean value of 2.5%. The target localisation results match to the radarto-chest distances with a mean error rate of 5.8%. The tested measurement range was up to 5m. The results suggest that the algorithm could perform sufficiently well in non-contact stationary respiration rate detection.

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Section: Resultsmentioning

confidence: 99%

Towards Robust, Unobtrusive Sensing of Respiration Using UWB Impulse Radar for the Care of People Living with Dementia

Chen

Bannon

Rapeaux

et al. 2021

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)

View full text Add to dashboard Cite

show abstract

“…The literature shows that RR has been measured using UWB radar using many different algorithms. Application scenarios include in-car [8], in clinical environments [9], at home [10], [11] or portable when installed with a mobile phone [12] etc. Testing distances between object and radar are generally from 0.5 to 2 meters, except for [10], which is up to 8m.…”

Section: Introductionmentioning

confidence: 99%

Towards robust, unobtrusive sensing of respiration using ultra-wideband impulse radar for the care of people living with dementia

Chen

Bannon

Rapeaux

et al. 2020

Preprint

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The unobtrusive monitoring of vital signals and behaviour can be used to gather intelligence to support the care of people living with dementia. This can provide insights into the persons wellbeing and the neurogenerative process, as well as enable them to continue to live safely at home, thereby improving their quality of life. Within this context, this study investigated the deployability of non-contact respiration rate (RR) measurement based on an Ultra-Wideband (UWB) radar System-on-Chip (SoC). An algorithm was developed to simultaneously and continuously extract the respiration signal, together with the confidence level of the respiration signal and the target position, without needing any prior calibration. The radar-measured RR results were compared to the RR results obtained from a ground truth measure based on the breathing sound, and the error rates were within 8% with a mean value of 2.4%. The target localisation results match to the radarto-chest distances with a mean error rate of 5.4%. The tested measurement range was up to 5m. The results suggest that the algorithm could perform sufficiently well in non-contact stationary respiration rate detection.

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Non-contact sensing technology enables precision livestock farming in smart farms

Yin,

Ma,

Luo

et al. 2023

Computers and Electronics in Agriculture

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A method of detection of respiration rate on Android using UWB Impulse Radar

Cited by 5 publications

References 1 publication

Towards Robust, Unobtrusive Sensing of Respiration Using UWB Impulse Radar for the Care of People Living with Dementia

Towards Robust, Unobtrusive Sensing of Respiration Using UWB Impulse Radar for the Care of People Living with Dementia

Towards robust, unobtrusive sensing of respiration using ultra-wideband impulse radar for the care of people living with dementia

Non-contact sensing technology enables precision livestock farming in smart farms

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