294 related articles for article (PubMed ID: 32235543)
1. Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach.
Liu I; Ni S; Peng K
Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32235543
[TBL] [Abstract][Full Text] [Related]
2. Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera.
Bánhalmi A; Borbás J; Fidrich M; Bilicki V; Gingl Z; Rudas L
J Healthc Eng; 2018; 2018():4038034. PubMed ID: 29666670
[TBL] [Abstract][Full Text] [Related]
3. Comparison of heart rate variability signal features derived from electrocardiography and photoplethysmography in healthy individuals.
Bolanos M; Nazeran H; Haltiwanger E
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4289-94. PubMed ID: 17946618
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. Smartphone PPG: signal processing, quality assessment, and impact on HRV parameters.
Tyapochkin K; Smorodnikova E; Pravdin P
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4237-4240. PubMed ID: 31946804
[TBL] [Abstract][Full Text] [Related]
8. Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.
Gruwez H; Ezzat D; Van Puyvelde T; Dhont S; Meekers E; Bruckers L; Wouters F; Kellens M; Van Herendael H; Rivero-Ayerza M; Nuyens D; Haemers P; Pison L
Europace; 2024 Mar; 26(4):. PubMed ID: 38630867
[TBL] [Abstract][Full Text] [Related]
9. Extraction of heart rate variability from smartphone photoplethysmograms.
Peng RC; Zhou XL; Lin WH; Zhang YT
Comput Math Methods Med; 2015; 2015():516826. PubMed ID: 25685174
[TBL] [Abstract][Full Text] [Related]
10. A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects.
Lu G; Yang F; Taylor JA; Stein JF
J Med Eng Technol; 2009; 33(8):634-41. PubMed ID: 19848857
[TBL] [Abstract][Full Text] [Related]
11. Validation of Photoplethysmography Using a Mobile Phone Application for the Assessment of Heart Rate Variability in the Context of Heart Rate Variability-Biofeedback.
van Dijk W; Huizink AC; Oosterman M; Lemmers-Jansen ILJ; de Vente W
Psychosom Med; 2023 Sep; 85(7):568-576. PubMed ID: 37678565
[TBL] [Abstract][Full Text] [Related]
12. Diffuse transmittance visible spectroscopy using smartphone flashlight for photoplethysmography and vital signs measurements.
Bachir W
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123181. PubMed ID: 37506454
[TBL] [Abstract][Full Text] [Related]
13. Comparison of Heart-Rate-Variability Recording With Smartphone Photoplethysmography, Polar H7 Chest Strap, and Electrocardiography.
Plews DJ; Scott B; Altini M; Wood M; Kilding AE; Laursen PB
Int J Sports Physiol Perform; 2017 Nov; 12(10):1324-1328. PubMed ID: 28290720
[TBL] [Abstract][Full Text] [Related]
14. Validity of Smartphone Heart Rate Variability Pre- and Post-Resistance Exercise.
Holmes CJ; Fedewa MV; Winchester LJ; MacDonald HV; Wind SA; Esco MR
Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33050249
[TBL] [Abstract][Full Text] [Related]
15. Adapting smartphone-based photoplethysmograpy to suboptimal scenarios.
Garcia-Agundez A; Dutz T; Goebel S
Physiol Meas; 2017 Feb; 38(2):219-232. PubMed ID: 28099163
[TBL] [Abstract][Full Text] [Related]
16. Effects of using different algorithms and fiducial points for the detection of interbeat intervals, and different sampling rates on the assessment of pulse rate variability from photoplethysmography.
Mejía-Mejía E; May JM; Kyriacou PA
Comput Methods Programs Biomed; 2022 May; 218():106724. PubMed ID: 35255373
[TBL] [Abstract][Full Text] [Related]
17. Toward Hypertension Prediction Based on PPG-Derived HRV Signals: a Feasibility Study.
Lan KC; Raknim P; Kao WF; Huang JH
J Med Syst; 2018 Apr; 42(6):103. PubMed ID: 29680866
[TBL] [Abstract][Full Text] [Related]
18. Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals.
Peralta E; Lazaro J; Bailon R; Marozas V; Gil E
Physiol Meas; 2019 Feb; 40(2):025007. PubMed ID: 30669123
[TBL] [Abstract][Full Text] [Related]
19. Comparison of pulse rate variability from post-auricula and heart rate variability during different body states for healthy subjects.
Qi Y; Zhang A; Ma Y; Chang T; Xu J
J Med Eng Technol; 2023 Apr; 47(3):179-188. PubMed ID: 36794319
[TBL] [Abstract][Full Text] [Related]
20. Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis.
Shabaan M; Arshid K; Yaqub M; Jinchao F; Zia MS; Bojja GR; Iftikhar M; Ghani U; Ambati LS; Munir R
BMC Med Inform Decis Mak; 2020 Jul; 20(1):177. PubMed ID: 32727453
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]