568 related articles for article (PubMed ID: 34952340)
1. Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical exercises.
Pankaj ; Kumar A; Komaragiri R; Kumar M
Comput Biol Med; 2022 Feb; 141():105081. PubMed ID: 34952340
[TBL] [Abstract][Full Text] [Related]
2. Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform - A sampling frequency independent and reference signal-less method.
Pankaj ; Kumar A; Ashdhir A; Komaragiri R; Kumar M
Comput Methods Programs Biomed; 2023 Feb; 229():107294. PubMed ID: 36528998
[TBL] [Abstract][Full Text] [Related]
3. A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor.
Salehizadeh SM; Dao D; Bolkhovsky J; Cho C; Mendelson Y; Chon KH
Sensors (Basel); 2015 Dec; 16(1):. PubMed ID: 26703618
[TBL] [Abstract][Full Text] [Related]
4. Finite State Machine Framework for Instantaneous Heart Rate Validation Using Wearable Photoplethysmography During Intensive Exercise.
Chung H; Lee H; Lee J
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1595-1606. PubMed ID: 30235152
[TBL] [Abstract][Full Text] [Related]
5. Improved Heart Rate Tracking Using Multiple Wrist-type Photoplethysmography during Physical Activities.
Zhu L; Du D
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1-4. PubMed ID: 30440267
[TBL] [Abstract][Full Text] [Related]
6. Heart Rate Estimation using PPG signal during Treadmill Exercise.
Kong Y; Chon K
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3253-3256. PubMed ID: 31946579
[TBL] [Abstract][Full Text] [Related]
7. Feasibility Study of Deep Neural Network for Heart Rate Estimation from Wearable Photoplethysmography and Acceleration Signals.
Chung H; Ko H; Lee H; Lee J
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3633-3636. PubMed ID: 31946663
[TBL] [Abstract][Full Text] [Related]
8. SPECMAR: fast heart rate estimation from PPG signal using a modified spectral subtraction scheme with composite motion artifacts reference generation.
Islam MT; Ahmed ST; Shahnaz C; Fattah SA
Med Biol Eng Comput; 2019 Mar; 57(3):689-702. PubMed ID: 30349957
[TBL] [Abstract][Full Text] [Related]
9. Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation.
Chowdhury SS; Hyder R; Hafiz MSB; Haque MA
IEEE J Biomed Health Inform; 2018 Mar; 22(2):450-459. PubMed ID: 27893403
[TBL] [Abstract][Full Text] [Related]
10. A Robust Random Forest-Based Approach for Heart Rate Monitoring Using Photoplethysmography Signal Contaminated by Intense Motion Artifacts.
Ye Y; He W; Cheng Y; Huang W; Zhang Z
Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28212327
[TBL] [Abstract][Full Text] [Related]
11. Removal of Motion Artifacts in Photoplethysmograph Sensors during Intensive Exercise for Accurate Heart Rate Calculation Based on Frequency Estimation and Notch Filtering.
Wang M; Li Z; Zhang Q; Wang G
Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31357674
[TBL] [Abstract][Full Text] [Related]
12. A Robust Dynamic Heart-Rate Detection Algorithm Framework During Intense Physical Activities Using Photoplethysmographic Signals.
Song J; Li D; Ma X; Teng G; Wei J
Sensors (Basel); 2017 Oct; 17(11):. PubMed ID: 29068403
[TBL] [Abstract][Full Text] [Related]
13. Accurate Heart Rate Monitoring During Physical Exercises Using PPG.
Temko A
IEEE Trans Biomed Eng; 2017 Sep; 64(9):2016-2024. PubMed ID: 28278454
[TBL] [Abstract][Full Text] [Related]
14. A Robust Motion Artifact Detection Algorithm for Accurate Detection of Heart Rates From Photoplethysmographic Signals Using Time-Frequency Spectral Features.
Dao D; Salehizadeh SMA; Noh Y; Chong JW; Cho CH; McManus D; Darling CE; Mendelson Y; Chon KH
IEEE J Biomed Health Inform; 2017 Sep; 21(5):1242-1253. PubMed ID: 28113791
[TBL] [Abstract][Full Text] [Related]
15. Robust Heart Rate Estimation During Physical Exercise Using Photoplethysmographic Signals.
Motin MA; Karmakar CK; Palaniswami M
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():494-497. PubMed ID: 30440442
[TBL] [Abstract][Full Text] [Related]
16. Estimation of heart rate from photoplethysmography during physical exercise using Wiener filtering and the phase vocoder.
Temko A
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1500-3. PubMed ID: 26736555
[TBL] [Abstract][Full Text] [Related]
17. A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals.
Zhao J; Chen X; Zhang X; Chen X
Med Biol Eng Comput; 2022 Dec; 60(12):3419-3433. PubMed ID: 36190610
[TBL] [Abstract][Full Text] [Related]
18. A new approach to HR monitoring using photoplethysmographic signals during intensive physical exercise.
Chen G; Yuan X; Zhang Y; Song X
Phys Eng Sci Med; 2021 Jun; 44(2):535-543. PubMed ID: 33929712
[TBL] [Abstract][Full Text] [Related]
19. Precision Heart Rate Estimation Using a PPG Sensor Patch Equipped with New Algorithms of Pre-Quality Checking and Hankel Decomposition.
Thakur S; Chao PC; Tsai CH
Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37448029
[TBL] [Abstract][Full Text] [Related]
20. Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation.
Alkhoury L; Choi J; Chandran VD; De Carvalho GB; Pal S; Kam M
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560324
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]