128 related articles for article (PubMed ID: 38109250)
1. Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring.
Liu Z; Zhu T; Lu L; Zhang YT; Clifton DA
IEEE J Biomed Health Inform; 2024 Mar; 28(3):1321-1330. PubMed ID: 38109250
[TBL] [Abstract][Full Text] [Related]
2. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks.
Ramesh J; Solatidehkordi Z; Aburukba R; Sagahyroon A
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770543
[TBL] [Abstract][Full Text] [Related]
3. Assessment of a standalone photoplethysmography (PPG) algorithm for detection of atrial fibrillation on wristband-derived data.
Selder JL; Proesmans T; Breukel L; Dur O; Gielen W; van Rossum AC; Allaart CP
Comput Methods Programs Biomed; 2020 Dec; 197():105753. PubMed ID: 32998102
[TBL] [Abstract][Full Text] [Related]
4. Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions.
Eerikäinen LM; Bonomi AG; Schipper F; Dekker LRC; Vullings R; de Morree HM; Aarts RM
Physiol Meas; 2018 Aug; 39(8):084001. PubMed ID: 29995641
[TBL] [Abstract][Full Text] [Related]
5. Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data.
Eerikainen LM; Bonomi AG; Schipper F; Dekker LRC; de Morree HM; Vullings R; Aarts RM
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1610-1618. PubMed ID: 31689222
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation.
Hermans ANL; Isaksen JL; Gawalko M; Pluymaekers NAHA; van der Velden RMJ; Snippe H; Evens S; De Witte G; Luermans JGLM; Manninger M; Lumens J; Kanters JK; Linz D
Europace; 2023 Mar; 25(3):835-844. PubMed ID: 36748247
[TBL] [Abstract][Full Text] [Related]
7. Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.
Wu HT; Lewis GF; Davila MI; Daubechies I; Porges SW
Methods Inf Med; 2016 Oct; 55(5):463-472. PubMed ID: 27626806
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Cardiac arrhythmias classification using photoplethysmography database.
Qananwah Q; Ababneh M; Dagamseh A
Sci Rep; 2024 Feb; 14(1):3355. PubMed ID: 38336980
[TBL] [Abstract][Full Text] [Related]
10. A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study.
McLean MK; Weaver RG; Lane A; Smith MT; Parker H; Stone B; McAninch J; Matolak DW; Burkart S; Chandrashekhar MVS; Armstrong B
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050488
[TBL] [Abstract][Full Text] [Related]
11. Validation of an algorithm for continuous monitoring of atrial fibrillation using a consumer smartwatch.
Avram R; Ramsis M; Cristal AD; Nathan V; Zhu L; Kim J; Kuang J; Gao A; Vittinghoff E; Rohdin-Bibby L; Yogi S; Seremet E; Carp V; Badilini F; Pletcher MJ; Marcus GM; Mortara D; Olgin JE
Heart Rhythm; 2021 Sep; 18(9):1482-1490. PubMed ID: 33838317
[TBL] [Abstract][Full Text] [Related]
12. An Advanced Bio-Inspired PhotoPlethysmoGraphy (PPG) and ECG Pattern Recognition System for Medical Assessment.
Rundo F; Conoci S; Ortis A; Battiato S
Sensors (Basel); 2018 Jan; 18(2):. PubMed ID: 29385774
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Robust PPG motion artifact detection using a 1-D convolution neural network.
Goh CH; Tan LK; Lovell NH; Ng SC; Tan MP; Lim E
Comput Methods Programs Biomed; 2020 Nov; 196():105596. PubMed ID: 32580054
[TBL] [Abstract][Full Text] [Related]
16. Comparison and Combination of Single-Lead ECG and Photoplethysmography Algorithms for Wearable-Based Atrial Fibrillation Screening.
Mutke MR; Brasier N; Raichle C; Ravanelli F; Doerr M; Eckstein J
Telemed J E Health; 2021 Mar; 27(3):296-302. PubMed ID: 32423358
[No Abstract] [Full Text] [Related]
17. Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
Kwon S; Hong J; Choi EK; Lee E; Hostallero DE; Kang WJ; Lee B; Jeong ER; Koo BK; Oh S; Yi Y
JMIR Mhealth Uhealth; 2019 Jun; 7(6):e12770. PubMed ID: 31199302
[TBL] [Abstract][Full Text] [Related]
18. Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme.
Mohagheghian F; Han D; Ghetia O; Peitzsch A; Nishita N; Pirayesh Shirazi Nejad M; Ding EY; Noorishirazi K; Hamel A; Otabil EM; DiMezza D; Dickson EL; Tran KV; McManus DD; Chon KH
IEEE Trans Biomed Eng; 2024 Feb; 71(2):456-466. PubMed ID: 37682653
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Monitoring and detecting atrial fibrillation using wearable technology.
Nemati S; Ghassemi MM; Ambai V; Isakadze N; Levantsevych O; Shah A; Clifford GD
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3394-3397. PubMed ID: 28269032
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]