Publisher
Springer Nature Singapore
Reference18 articles.
1. Silveri, G., et al.: Identification of ischemic heart disease by using machine learning technique based on parameters measuring heart rate variability. In: 2020 28th European Signal Processing Conference (EUSIPCO), pp. 1309–1312. IEEE (2021)
2. Kirtana, R., Lokeswari, Y.: An IoT based remote HRV monitoring system for hypertensive patients. In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 1–6. IEEE (2017)
3. Gandhi, S., Baghini, M.S., Mukherji, S.: Mental stress assessment-a comparison between HRV based and respiration based techniques. In: 2015 Computing in Cardiology Conference (CinC), pp. 1029–1032. IEEE (2015)
4. Szypulska, M., Piotrowski, Z.: Prediction of fatigue and sleep onset using HRV analysis. In: Proceedings of the 19th International Conference Mixed Design of Integrated Circuits and Systems-MIXDES 2012, pp. 543–546. IEEE (2012)
5. Faust, O., et al.: Heart rate variability for medical decision support systems: a review. Comput. Biol. Med. 145, 105407 (2022)