157 related articles for article (PubMed ID: 28502104)
1. Assessing Pain Intensity Using Photoplethysmography Signals in Chronic Myofascial Pain Syndrome.
Ye JJ; Lee KT; Chou YY; Sie HH; Huang RN; Chuang CC
Pain Pract; 2018 Mar; 18(3):296-304. PubMed ID: 28502104
[TBL] [Abstract][Full Text] [Related]
2. Use of Heart Rate Variability and Photoplethysmograph-Derived Parameters as Assessment Signals of Radiofrequency Therapy Efficacy for Chronic Pain.
Ye JJ; Chuang CC; Tai YT; Lee KT; Hung KS
Pain Pract; 2017 Sep; 17(7):879-885. PubMed ID: 27910248
[TBL] [Abstract][Full Text] [Related]
3. Photoplethysmography variability as an alternative approach to obtain heart rate variability information in chronic pain patient.
Chuang CC; Ye JJ; Lin WC; Lee KT; Tai YT
J Clin Monit Comput; 2015 Dec; 29(6):801-6. PubMed ID: 25708672
[TBL] [Abstract][Full Text] [Related]
4. Relationships between heart-rate variability and pulse-rate variability obtained from video-PPG signal using ZCA.
Iozzia L; Cerina L; Mainardi L
Physiol Meas; 2016 Nov; 37(11):1934-1944. PubMed ID: 27681456
[TBL] [Abstract][Full Text] [Related]
5. Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects.
Weinschenk SW; Beise RD; Lorenz J
Eur J Appl Physiol; 2016 Aug; 116(8):1527-35. PubMed ID: 27278521
[TBL] [Abstract][Full Text] [Related]
6. Ambient temperature effect on pulse rate variability as an alternative to heart rate variability in young adult.
Shin H
J Clin Monit Comput; 2016 Dec; 30(6):939-948. PubMed ID: 26511754
[TBL] [Abstract][Full Text] [Related]
7. Short-term pulse rate variability is better characterized by functional near-infrared spectroscopy than by photoplethysmography.
Holper L; Seifritz E; Scholkmann F
J Biomed Opt; 2016 Sep; 21(9):091308. PubMed ID: 27185106
[TBL] [Abstract][Full Text] [Related]
8. Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions.
Gil E; Orini M; Bailón R; Vergara JM; Mainardi L; Laguna P
Physiol Meas; 2010 Sep; 31(9):1271-90. PubMed ID: 20702919
[TBL] [Abstract][Full Text] [Related]
9. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography.
Selvaraj N; Jaryal A; Santhosh J; Deepak KK; Anand S
J Med Eng Technol; 2008; 32(6):479-84. PubMed ID: 18663635
[TBL] [Abstract][Full Text] [Related]
10. Comparison of foot finding methods for deriving instantaneous pulse rates from photoplethysmographic signals.
Hemon MC; Phillips JP
J Clin Monit Comput; 2016 Apr; 30(2):157-68. PubMed ID: 25902897
[TBL] [Abstract][Full Text] [Related]
11. Sternal pulse rate variability compared with heart rate variability on healthy subjects.
Chreiteh SS; Belhage B; Hoppe K; Branebjerg J; Thomsen EV
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3394-7. PubMed ID: 25570719
[TBL] [Abstract][Full Text] [Related]
12. Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals.
Jeyhani V; Mahdiani S; Peltokangas M; Vehkaoja A
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5952-5. PubMed ID: 26737647
[TBL] [Abstract][Full Text] [Related]
13. Assessment of postoperative pain intensity by using photoplethysmography.
Ling P; Siyuan Y; Wei W; Quan G; Bo G
J Anesth; 2014 Dec; 28(6):846-53. PubMed ID: 24828847
[TBL] [Abstract][Full Text] [Related]
14. Time-varying spectral analysis for comparison of HRV and PPG variability during tilt table test.
Gil E; Orini M; Bailon R; Vergara JM; Mainardi L; Laguna P
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3579-82. PubMed ID: 21096832
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of pulse rate variability obtained by the pulse onsets of the photoplethysmographic signal.
Posada-Quintero HF; Delisle-Rodríguez D; Cuadra-Sanz MB; Fernández de la Vara-Prieto RR
Physiol Meas; 2013 Feb; 34(2):179-87. PubMed ID: 23348575
[TBL] [Abstract][Full Text] [Related]
16. Can PPG be used for HRV analysis?
Pinheiro N; Couceiro R; Henriques J; Muehlsteff J; Quintal I; Goncalves L; Carvalho P
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2945-2949. PubMed ID: 28268930
[TBL] [Abstract][Full Text] [Related]
17. Comparison between heart rate variability and pulse rate variability during different sleep stages for sleep apnea patients.
Liu S; Teng J; Qi X; Wei S; Liu C
Technol Health Care; 2017; 25(3):435-445. PubMed ID: 27911348
[TBL] [Abstract][Full Text] [Related]
18. Analysis of time-domain indices, frequency domain measures of heart rate variability derived from ECG waveform and pulse-wave-related HRV among overweight individuals: an observational study.
Kumar SM; Vaishali K; Maiya GA; Shivashankar KN; Shashikiran U
F1000Res; 2023; 12():1229. PubMed ID: 37799491
[No Abstract] [Full Text] [Related]
19. Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information?
Lu S; Zhao H; Ju K; Shin K; Lee M; Shelley K; Chon KH
J Clin Monit Comput; 2008 Feb; 22(1):23-9. PubMed ID: 17987395
[TBL] [Abstract][Full Text] [Related]
20. [Analysis of Pulse Rate Variability and Its Application to Wearable Smart Devices].
Shi B; Chen F; Chen J; Tsau Y
Zhongguo Yi Liao Qi Xie Za Zhi; 2015 Mar; 39(2):95-7. PubMed ID: 26204736
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]