118 related articles for article (PubMed ID: 38551821)
1. Predicting Arterial Stiffness From Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach.
Chen Y; Yang X; Song R; Liu X; Zhang J
IEEE J Biomed Health Inform; 2024 Jul; 28(7):3928-3941. PubMed ID: 38551821
[TBL] [Abstract][Full Text] [Related]
2. Developing an effective arterial stiffness monitoring system using the spring constant method and photoplethysmography.
Wei CC
IEEE Trans Biomed Eng; 2013 Jan; 60(1):151-4. PubMed ID: 22855219
[TBL] [Abstract][Full Text] [Related]
3. A novel feature ranking algorithm for biometric recognition with PPG signals.
Reşit Kavsaoğlu A; Polat K; Recep Bozkurt M
Comput Biol Med; 2014 Jun; 49():1-14. PubMed ID: 24705467
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Schrödinger spectrum based continuous cuff-less blood pressure estimation using clinically relevant features from PPG signal and its second derivative.
Sarkar S; Ghosh A
Comput Biol Med; 2023 Nov; 166():107558. PubMed ID: 37806054
[TBL] [Abstract][Full Text] [Related]
6. Detection of respiratory arousals using photoplethysmography (PPG) signal in sleep apnea patients.
Karmakar C; Khandoker A; Penzel T; Schöbel C; Palaniswami M
IEEE J Biomed Health Inform; 2014 May; 18(3):1065-73. PubMed ID: 24108482
[TBL] [Abstract][Full Text] [Related]
7. A Continuous Non-Invasive Blood Pressure Prediction Method Based on Deep Sparse Residual U-Net Combined with Improved Squeeze and Excitation Skip Connections.
Lai K; Wang X; Cao C
Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732827
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Intradialytic hypotension related episodes identification based on the most effective features of photoplethysmography signal.
Nafisi VR; Shahabi M
Comput Methods Programs Biomed; 2018 Apr; 157():1-9. PubMed ID: 29477417
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Photoplethysmographic signal waveform index for detection of increased arterial stiffness.
Pilt K; Meigas K; Ferenets R; Temitski K; Viigimaa M
Physiol Meas; 2014 Oct; 35(10):2027-36. PubMed ID: 25238409
[TBL] [Abstract][Full Text] [Related]
12. Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment.
Neshitov A; Tyapochkin K; Smorodnikova E; Pravdin P
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34696011
[TBL] [Abstract][Full Text] [Related]
13. Adaptive template matching of photoplethysmogram pulses to detect motion artefact.
Lim PK; Ng SC; Lovell NH; Yu YP; Tan MP; McCombie D; Lim E; Redmond SJ
Physiol Meas; 2018 Oct; 39(10):105005. PubMed ID: 30183675
[TBL] [Abstract][Full Text] [Related]
14. Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring.
Attivissimo F; De Palma L; Di Nisio A; Scarpetta M; Lanzolla AML
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850919
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography.
Lee H; Chung H; Ko H; Parisi A; Busacca A; Faes L; Pernice R; Lee J
Comput Methods Programs Biomed; 2022 Nov; 226():107126. PubMed ID: 36130416
[TBL] [Abstract][Full Text] [Related]
17. A novel and low-complexity peak detection algorithm for heart rate estimation from low-amplitude photoplethysmographic (PPG) signals.
Argüello Prada EJ; Serna Maldonado RD
J Med Eng Technol; 2018 Nov; 42(8):569-577. PubMed ID: 30920315
[TBL] [Abstract][Full Text] [Related]
18. Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiography.
Chiarelli AM; Bianco F; Perpetuini D; Bucciarelli V; Filippini C; Cardone D; Zappasodi F; Gallina S; Merla A
Med Eng Phys; 2019 Nov; 73():39-50. PubMed ID: 31358395
[TBL] [Abstract][Full Text] [Related]
19. Photoplethysmography signal analysis to assess obesity, age group and hypertension.
Ferdinando H; Huotari M; Myllyla T
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5572-5575. PubMed ID: 31947118
[TBL] [Abstract][Full Text] [Related]
20. Automated Multi-Wavelength Quality Assessment of Photoplethysmography Signals Using Modulation Spectrum Shape Features.
Tiwari A; Gray G; Bondi P; Mahnam A; Falk TH
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420772
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
