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High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression.
- Source :
-
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2020 Jul; Vol. 2020, pp. 232-235. - Publication Year :
- 2020
-
Abstract
- A 24GHz Doppler radar system for accurate contactless monitoring of heart and respiratory rates is demonstrated here. High accuracy predictions are achieved by employing a CNN+LSTM neural network architecture for regression analysis. Detection accuracies of 99% and 98% have been attained for heart rate and respiration rate, respectively.Clinical Relevance- This work establishes a non-contact radar system with 99% detection accuracy for a heart rate variability warning system. This system can enable convenient and fast monitoring for daily care at home.
- Subjects :
- Heart Rate
Respiration
Respiratory Rate
Algorithms
Neural Networks, Computer
Subjects
Details
- Language :
- English
- ISSN :
- 2694-0604
- Volume :
- 2020
- Database :
- MEDLINE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publication Type :
- Academic Journal
- Accession number :
- 33017971
- Full Text :
- https://doi.org/10.1109/EMBC44109.2020.9175161