Publisher
Springer International Publishing
Reference22 articles.
1. Ahamed, S.T., Islam, M.T.: An efficient method for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. In: 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp. 863–868. IEEE (2016)
2. Allen, J.: Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 28(3), R1 (2007)
3. Fukushima, H., Kawanaka, H., Bhuiyan, M.S., Oguri, K.: Estimating heart rate using wrist-type photoplethysmography and acceleration sensor while running. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2901–2904. IEEE (2012)
4. Hahn, M.: An adaptive SSF-based pulse peak detection algorithm for heart rate variability analysis in home healthcare environments. In: International Conference on Ubiquitous Healthcare, pp. 70–71 (2010)
5. Harvey, J., Salehizadeh, S.M., Mendelson, Y., Chon, K.H.: Oxima: a frequency-domain approach to address motion artifacts in photoplethysmograms for improved estimation of arterial oxygen saturation and pulse rate. IEEE Trans. Biomed. Eng. 66(2), 311–318 (2018)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献