Zacytuj

Elgendi, M.; Fletcher, R.; Liang, Y.; Howard, N.; Lovell, N.H.; Abbott, D.; Lim, K.; Ward, R. The use of photoplethysmography for assessing hypertension. NPJ Digital Medicine 2019, 2, 1-11. https://doi.org/10.1038/s41746-019-0136-7Elgendi M. Fletcher R. Liang Y. Howard N. Lovell N.H. Abbott D. Lim K. Ward R. The use of photoplethysmography for assessing hypertension NPJ Digital Medicine 2019 2 1 11 https://doi.org/10.1038/s41746-019-0136-710.1038/s41746-019-0136-7659494231388564Search in Google Scholar

Rajala, S.; Ahmaniemi, T.; Lindholm, H.; Taipalus, T. Pulse arrival time (PAT) measurement based on arm ECG and finger PPG signals-comparison of PPG feature detection methods for PAT calculation. In Proceedings of 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); pp. 250-253. https://doi.org/10.1109/EMBC.2017.8036809Rajala S. Ahmaniemi T. Lindholm H. Taipalus T. Pulse arrival time (PAT) measurement based on arm ECG and finger PPG signals-comparison of PPG feature detection methods for PAT calculation. In Proceedings of 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)250253https://doi.org/10.1109/EMBC.2017.803680910.1109/EMBC.2017.803680929059857Search in Google Scholar

Cygankiewicz, I.; Zareba, W. Heart rate variability. In Handb. Clin. Neurol., Elsevier: 2013, 117, 379-393. https://doi.org/10.1016/B978-0-444-53491-0.00031-6Cygankiewicz I. Zareba W. Heart rate variability In Handb. Clin. Neurol., Elsevier 2013 117 379 393 https://doi.org/10.1016/B978-0-444-53491-0.00031-610.1016/B978-0-444-53491-0.00031-624095141Search in Google Scholar

Peralta, E.; Lazaro, J.; Bailon, R.; Marozas, V.; Gil, E. Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals. Physiol. Meas. 2019, 40, 025007. https://doi.org/10.1088/1361-6579/ab009bPeralta E. Lazaro J. Bailon R. Marozas V. Gil E. Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals Physiol. Meas201940025007https://doi.org/10.1088/1361-6579/ab009b10.1088/1361-6579/ab009b30669123Search in Google Scholar

Weinschenk, S.W.; Beise, R.D.; Lorenz, J. Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: Agreement of ear photoplethysmography with ECG measurements, in 343 subjects. Eur. J. Appl. Physiol. 2016, 116, 1527-1535. https://doi.org/10.1007/s00421-016-3401-3Weinschenk S.W. Beise R.D. Lorenz J. Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: Agreement of ear photoplethysmography with ECG measurements, in 343 subjects Eur. J. Appl. Physiol 2016 116 1527 1535 https://doi.org/10.1007/s00421-016-3401-310.1007/s00421-016-3401-327278521Search in Google Scholar

Podaru, A.C.; David, V.; Asiminicesei, O.M. Determination and Comparison of Heart Rate Variability and Pulse Rate Variability. In Proceedings of 2018 International Conference and Exposition on Electrical and Power Engineering (EPE); pp. 0551-0554. https://doi.org/10.1109/ICEPE.2018.8559806Podaru A.C. David V. Asiminicesei O.M. Determination and Comparison of Heart Rate Variability and Pulse Rate Variability. In Proceedings of 2018 International Conference and Exposition on Electrical and Power Engineering (EPE) 0551 0554 https://doi.org/10.1109/ICEPE.2018.855980610.1109/ICEPE.2018.8559806Search in Google Scholar

Zhang, Z.; Pi, Z.; Liu, B. TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. IEEE Trans. Biomed. Eng. 2014, 62, 522-531. https://doi.org/10.1109/TBME.2014.2359372Zhang Z. Pi Z. Liu B. TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise IEEE Trans. Biomed. Eng 2014 62 522 531 https://doi.org/10.1109/TBME.2014.235937210.1109/TBME.2014.235937225252274Search in Google Scholar

Schäfer, A.; Vagedes, J. How accurate is pulse rate variability as an estimate of heart rate variability?: A review on studies comparing photoplethysmographic technology with an electrocardiogram. International Journal of Cardiology 2013, 166, 15-29. https://doi.org/10.1016/j.ijcard.2012.03.119Schäfer A. Vagedes J. How accurate is pulse rate variability as an estimate of heart rate variability?: A review on studies comparing photoplethysmographic technology with an electrocardiogram International Journal of Cardiology 2013 166 15 29 https://doi.org/10.1016/j.ijcard.2012.03.11910.1016/j.ijcard.2012.03.11922809539Search in Google Scholar

Pinheiro, N.; Couceiro, R.; Henriques, J.; Muehlsteff, J.; Quintal, I.; Goncalves, L.; Carvalho, P. Can PPG be used for HRV analysis? In Proceedings of 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); pp. 2945-2949. https://doi.org/10.1109/EMBC.2016.7591347Pinheiro N. Couceiro R. Henriques J. Muehlsteff J. Quintal I. Goncalves L. Carvalho P. Can PPG be used for HRV analysis? In Proceedings of 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2945 2949 https://doi.org/10.1109/EMBC.2016.759134710.1109/EMBC.2016.759134728268930Search in Google Scholar

Jeyhani, V.; Mahdiani, S.; Peltokangas, M.; Vehkaoja, A. Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals. In Proceedings of 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); pp. 5952-5955. https://doi.org/10.1109/EMBC.2015.7319747Jeyhani V. Mahdiani S. Peltokangas M. Vehkaoja A. Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals. In Proceedings of 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 5952 5955 https://doi.org/10.1109/EMBC.2015.731974710.1109/EMBC.2015.731974726737647Search in Google Scholar

T. Sengthipphany, S. Tretriluxana, og K. Chitsakul, «Comparison of Heart Rate statistical parameters from Photoplethysmographic signal in resting and exercise conditions», i 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), jun. 2015, pp. 1-5. https://doi.org/10.1109/ECTICon.2015.7207074Sengthipphany T. Tretriluxana S. Chitsakul K. «Comparison of Heart Rate statistical parameters from Photoplethysmographic signal in resting and exercise conditions», i 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), jun. 2015 1 5 https://doi.org/10.1109/ECTICon.2015.720707410.1109/ECTICon.2015.7207074Search in Google Scholar

J. A. J. Heathers, «Smartphone-enabled pulse rate variability: An alternative methodology for the collection of heart rate variability in psychophysiological research», International Journal of Psychophysiology. 2013, 89(3), 297-304. https://doi.org/10.1016/j.ijpsycho.2013.05.017Heathers J. A. J.«Smartphone-enabled pulse rate variability: An alternative methodology for the collection of heart rate variability in psychophysiological research», International Journal of Psychophysiology2013893297 304 https://doi.org/10.1016/j.ijpsycho.2013.05.01710.1016/j.ijpsycho.2013.05.01723751411Search in Google Scholar

N. D. Giardino, P. M. Lehrer, og R. Edelberg, «Comparison of finger plethysmograph to ECG in the measurement of heart rate variability», Psychophysiology. 2002, 39(2), 246-253. https://doi.org/10.1111/1469-8986.3920246Giardino N. D. Lehrer P. M. Edelberg R. «Comparison of finger plethysmograph to ECG in the measurement of heart rate variability» Psychophysiology 2002 392 246 253 https://doi.org/10.1111/1469-8986.392024610.1111/1469-8986.3920246Search in Google Scholar

E. Mejía-Mejía, J. M. May, R. Torres, og P. A. Kyriacou, «Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability», Physiol. Meas. 2020, 41(7), 07TR01. https://doi.org/10.1088/1361-6579/ab998cMejía-Mejía E. May J. M. Torres R. Kyriacou P. A. «Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability» Physiol. Meas 2020 417 07TR01 https://doi.org/10.1088/1361-6579/ab998c10.1088/1361-6579/ab998c32498055Search in Google Scholar

Kostorz, I.; Kowalski, W.; Ludwig, Z.; Zając, J.; Piasecki, A.; Socha, M.; Górka, W. A preliminary study of the utilization of a low resolution ECG signal from handheld ECG monitor. Journal of Medical Informatics Technologies. 2015, 24.Kostorz I. Kowalski W. Ludwig Z. Zając J. Piasecki A. Socha M. Górka W. A preliminary study of the utilization of a low resolution ECG signal from handheld ECG monitor Journal of Medical Informatics Technologies 2015 24Search in Google Scholar

Thum, M.; Boucsein, W.; Kuhmann, W.; Ray, W. Standardized task strain and system response times in human-computer interaction. Ergonomics. 1995, 38, 1342-1351. https://doi.org/10.1080/00140139508925192Thum M. Boucsein W. Kuhmann W. Ray W. Standardized task strain and system response times in human-computer interaction Ergonomics 1995 38 1342 1351 https://doi.org/10.1080/0014013950892519210.1080/001401395089251927635125Search in Google Scholar

Pan, J.; Tompkins, W.J. A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 1985, 32(3), 230-236. https://doi.org/10.1109/TBME.1985.325532Pan J. Tompkins W.J. A real-time QRS detection algorithm IEEE Trans. Biomed. Eng 1985 323 230 236 https://doi.org/10.1109/TBME.1985.32553210.1109/TBME.1985.3255323997178Search in Google Scholar

Sedghamiz, H. Matlab Implementation of Pan Tompkins ECG QRS detector, MATLAB Central, Mathworks, March 2014.Sedghamiz H. Matlab Implementation of Pan Tompkins ECG QRS detector, MATLAB Central, Mathworks March 2014Search in Google Scholar

Deegan, B.M.; O'Connor, M.; Lyons, D.; OLaighin, G. A new blood pressure and heart rate signal analysis technique to assess Orthostatic Hypotension and its subtypes. In Proceedings of 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; pp. 935938. https://doi.org/10.1109/IEMBS.2007.4352445Deegan B.M. O'Connor M. Lyons D. OLaighin G. A new blood pressure and heart rate signal analysis technique to assess Orthostatic Hypotension and its subtypes. In Proceedings of 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 935938 https://doi.org/10.1109/IEMBS.2007.435244510.1109/IEMBS.2007.435244518002111Search in Google Scholar

Lai, P.-H.; Kim, I. Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm. Healthcare Technology Letters. 2015, 2, 6-11. https://doi.org/10.1049/htl.2014.0097Lai P.-H. Kim I. Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm Healthcare Technology Letters 2015 2 6 11 https://doi.org/10.1049/htl.2014.009710.1049/htl.2014.0097461415426609397Search in Google Scholar

Kos, M.; Li, X.; Khaghani-Far, I.; Gordon, C.M.; Pavel, M.; Jimison, H.B. Can accelerometry data improve estimates of heart rate variability from wrist pulse PPG sensors? In Proceedings of 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); pp. 1587-1590. https://doi.org/10.1109/EMBC.2017.8037141Kos M. Li X. Khaghani-Far I. Gordon C.M. Pavel M. Jimison H.B. Can accelerometry data improve estimates of heart rate variability from wrist pulse PPG sensors? In Proceedings of 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 1587 1590 https://doi.org/10.1109/EMBC.2017.803714110.1109/EMBC.2017.8037141599491429060185Search in Google Scholar

Morelli, D.; Bartoloni, L.; Colombo, M.; Plans, D.; Clifton, D.A. Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device. Healthcare Technology Letters. 2018, 5, 59-64. https://doi.org/10.1049/htl.2017.0039Morelli D. Bartoloni L. Colombo M. Plans D. Clifton D.A. Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device Healthcare Technology Letters 2018 5 59 64 https://doi.org/10.1049/htl.2017.003910.1049/htl.2017.0039593337429750114Search in Google Scholar

H. Kinnunen, A. Rantanen, T. Kentt, og H. Koskimki, «Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG», Physiol. Meas. 2020, 41(4), 04NT01. https://doi.org/10.1088/1361-6579/ab840aKinnunen H. Rantanen A. Kentt T. Koskimki H. «Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG» Physiol. Meas 2020 414 04NT01 https://doi.org/10.1088/1361-6579/ab840a10.1088/1361-6579/ab840a32217820Search in Google Scholar

Bhowmik, T.; Dey, J.; Tiwari, V.N. A novel method for accurate estimation of HRV from smartwatch PPG signals. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2017, 109-112. https://doi.org/10.1109/EMBC.2017.8036774Bhowmik T. Dey J. Tiwari V.N. A novel method for accurate estimation of HRV from smartwatch PPG signals Conf. Proc. IEEE Eng. Med. Biol. Soc 2017 109 112 https://doi.org/10.1109/EMBC.2017.803677410.1109/EMBC.2017.803677429059822Search in Google Scholar

M. Nardelli, N. Vanello, G. Galperti, A. Greco, og E. P. Scilingo, «Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method», Sensors, 2020, 11, 11. https://doi.org/10.3390/s20113156Nardelli M. Vanello N. Galperti G. Greco A. Scilingo E. P. «Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method» Sensors 2020 11 11 https://doi.org/10.3390/s2011315610.3390/s20113156730910432498403Search in Google Scholar

Hartmann, V.; Liu, H.; Chen, F.; Qiu, Q.; Hughes, S.; Zheng, D. Quantitative comparison of photoplethysmographic waveform characteristics: effect of measurement site. Front. Physiol. 2019, 10, 198. https://doi.org/10.3389/fphys.2019.00198Hartmann V. Liu H. Chen F. Qiu Q. Hughes S. Zheng D. Quantitative comparison of photoplethysmographic waveform characteristics: effect of measurement site Front. Physiol 2019 10 198 https://doi.org/10.3389/fphys.2019.0019810.3389/fphys.2019.00198641209130890959Search in Google Scholar

Chen, X.; Chen, T.; Luo, F.; Li, J. Comparison of valley-to-valley and peak-to-peak intervals from photoplethysmographic signals to obtain heart rate variability in the sitting position. In Proceedings of 2013 6th International Conference on Biomedical Engineering and Informatics; pp. 214-218. https://doi.org/10.1109/BMEI.2013.6746936Chen X. Chen T. Luo F. Li J. Comparison of valley-to-valley and peak-to-peak intervals from photoplethysmographic signals to obtain heart rate variability in the sitting position. In Proceedings of 2013 6th International Conference on Biomedical Engineering and Informatics 214 218 https://doi.org/10.1109/BMEI.2013.674693610.1109/BMEI.2013.6746936Search in Google Scholar

Jarchi, D.; Casson, A.J. Towards photoplethysmography-based estimation of instantaneous heart rate during physical activity. IEEE Trans. biomed. Eng. 2017, 64, 2042-2053. https://doi.org/10.1109/TBME.2017.2668763Jarchi D. Casson A.J. Towards photoplethysmography-based estimation of instantaneous heart rate during physical activity IEEE Trans. biomed. Eng 2017 64 2042 2053 https://doi.org/10.1109/TBME.2017.266876310.1109/TBME.2017.266876328212075Search in Google Scholar

Fukushima, H.; Kawanaka, H.; Bhuiyan, M.S.; Oguri, K. Estimating heart rate using wrist-type photoplethysmography and acceleration sensor while running. In Proceedings of 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society; pp. 2901-2904. https://doi.org/10.1109/EMBC.2012.6346570Fukushima H. Kawanaka H. Bhuiyan M.S. Oguri K. Estimating heart rate using wrist-type photoplethysmography and acceleration sensor while running. In Proceedings of 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2901 2904 https://doi.org/10.1109/EMBC.2012.634657010.1109/EMBC.2012.634657023366531Search in Google Scholar