Photoplethysmography signal processing and synthesis

Assessment of photoplethysmogram signal quality using morphology integrated with temporal information approach

Sun, X., Yang, P., & Zhang, Y. (2012) · doi:10.1109/embc.2012.6346709 · Cited by 25

A Two Step Gaussian Modelling to Assess PPG Morphological Variability Induced by Psychological Stress

Banerjee, S., Bail�n, R., Lázaro, J. M., Marozas, V., Laguna, P., & Gil, E. (2017) · Computing in cardiology · doi:10.22489/cinc.2017.270-035 · Cited by 25

Acquiring Wearable Photoplethysmography Data in Daily Life: The PPG Diary Pilot Study

Charlton, P. H., Kyriacou, P., Mant, J., & Alastruey, J. (2020) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-7-08233 · Cited by 25

Auscultatory and oscillometric methods of ambulatory blood pressure monitoring, advantages and limits: a technical point of view.

Bonnafoux, P. (1996) · PubMed · Cited by 24

Peripheral arterial volume distensibility: significant differences with age and blood pressure measured using an applied external pressure

Zheng, D., & Murray, A. (2011) · Physiological Measurement · doi:10.1088/0967-3334/32/5/001 · Cited by 24

A comb filter based signal processing method to effectively reduce motion artifacts from photoplethysmographic signals

Peng, F., Liu, H., & Wang, W. (2015) · Physiological Measurement · doi:10.1088/0967-3334/36/10/2159 · Cited by 24

Pulse Rate and Transit Time Analysis to Predict Hypotension Events After Spinal Anesthesia During Programmed Cesarean Labor

Bolea, J., Lázaro, J. M., Gil, E., Rovira, E., Remartínez, J. M., Laguna, P., Pueyo, E., Navarro, A., & Bailón, R. (2017) · Annals of Biomedical Engineering · doi:10.1007/s10439-017-1864-y · Cited by 24

Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review

Eerikäinen, L. M., Bonomi, A. G., Dekker, L. R. C., Vullings, R., & Aarts, R. M. (2020) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2020.03.001 · Cited by 24

Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias

Paliakaitė, B., Petrėnas, A., Sološenko, A., & Marozas, V. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102421 · Cited by 24

Photoplethysmogram Signal Quality Evaluation by Unsupervised Learning Approach

Roy, M. S., Gupta, R., & Sharma, K. D. (2020) · 2020 IEEE Applied Signal Processing Conference (ASPCON) · doi:10.1109/aspcon49795.2020.9276733 · Cited by 24

A new signal decomposition to estimate breathing rate and heart rate from photoplethysmography signal

Li, D., Zhao, H., & Dou, S. (2015) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2015.03.008 · Cited by 23

Changes in left ventricular ejection time and pulse transit time derived from finger photoplethysmogram and electrocardiogram during moderate haemorrhage

Middleton, P. M., Chan, G. S. H., O’Lone, E., Steel, E., Carroll, R., Celler, B. G., & Lovell, N. H. (2009) · Clinical Physiology and Functional Imaging · doi:10.1111/j.1475-097x.2008.00843.x · Cited by 23

Development and Validation of a Photoplethysmography System for Noninvasive Monitoring of Hemoglobin Concentration

Liu, H., Peng, F., Hu, M., et al. (2020) · Journal of Electrical and Computer Engineering · doi:10.1155/2020/3034260 · Cited by 23

Predicting cardiac disease from interactions of simultaneously-acquired hemodynamic and cardiac signals

Fathieh, F., Paak, M., Khosousi, A., Burton, T., Sanders, W. E., Doomra, A., Lange, E., Khedraki, R., Bhavnani, S. P., & Ramchandani, S. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.105970 · Cited by 23

A novel and low-complexity peak detection algorithm for heart rate estimation from low-amplitude photoplethysmographic (PPG) signals

Prada, E. J. A., & Maldonado, R. D. S. (2018) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2019.1572237 · Cited by 22

Accurate Fiducial Point Detection Using Haar Wavelet for Beat-by-Beat Blood Pressure Estimation

Singla, M., Azeemuddin, S., & Sistla, P. (2020) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2020.3000327 · Cited by 22

Photoplethysmography-based in-ear sensor system for identification of increased stress arousal in everyday life

Lueken, M., Feng, X., Venema, B., et al. (2017) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936013 · Cited by 20

Innovative multi-site photoplethysmography measurement and analysis demonstrating increased arterial stiffness in paediatric heart transplant recipients

Sharkey, E., Maria, C. D., Klinge, A., Murray, A., Zheng, D., O’Sullivan, J. J., & Allen, J. (2018) · Physiological Measurement · doi:10.1088/1361-6579/aac76a · Cited by 20

Heart rate estimation based on face video under unstable illumination

Yin, R., Jia, R., Cui, Z., Yu, J.-T., Du, Y.-B., Gao, L., & Sun, H.-M. (2021) · Applied Intelligence · doi:10.1007/s10489-020-02167-4 · Cited by 20

Motion Artifact Reduction in Photopleythysmography Using Magnitude-Based Frequency Domain Independent Component Analysis

Krishnan, R., Natarajan, B., & Warren, S. (2008) · Proceedings/Proceedings - International Conference on Computer Communications and Networks · doi:10.1109/icccn.2008.ecp.71 · Cited by 19

Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography

Baek, H. J., Shin, J., Jin, G., & Cho, J. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0842-0 · Cited by 19

Instantaneous frequency from Hilbert-Huang transformation of digital volume pulse as indicator of diabetes and arterial stiffness in upper-middle-aged subjects

Wei, H., Xiao, M., Chen, H.-Y., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-34091-6 · Cited by 18

Baroreflex Sensitivity Measured by Pulse Photoplethysmography

Lázaro, J. M., Gil, E., Orini, M., Laguna, P., & Bailón, R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00339 · Cited by 17

A Hybrid Wavelet-Based Method for the Peak Detection of Photoplethysmography Signals

Li, S., Jiang, S., Jiang, S., Wu, J., Xiong, W., & Diao, S. (2017) · Computational and Mathematical Methods in Medicine · doi:10.1155/2017/9468503 · Cited by 15

Non-invasive haemoglobin measurement among pregnant women using photoplethysmography and machine learning

Lakshmi, M. P., Manimegalai, P., & Sridharan, B. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1432/1/012089 · Cited by 15

Extraction of respiratory rate from PPG using ensemble empirical mode decomposition with Kalman filter

Sharma, H. K. (2020) · Electronics Letters · doi:10.1049/el.2020.0566 · Cited by 15

Digital Volume Pulse Measured at the Fingertip as an Indicator of Diabetic Peripheral Neuropathy in the Aged and Diabetic

Wei, H., Ta, N., Hu, W.-R., Xiao, M., Tang, X., Haryadi, B., Liou, J. J., & Wu, H. (2019) · Entropy · doi:10.3390/e21121229 · Cited by 14

FPGA Based Smart System for Non Invasive Blood Glucose Sensing Using Photoplethysmography and Online Correction of Motion Artifact

Ramasahayam, S., Arora, L., & Chowdhury, S. R. (2016) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-47319-2_1 · Cited by 13

SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising

Liu, G., Hu, X., Wang, E., Zhou, G., Cai, J., & Zhang, S. (2019) · Computational and Mathematical Methods in Medicine · doi:10.1155/2019/5363712 · Cited by 13

Design and Development of a Heart Rate Variability Analyzer

MOHAN, A. K., James, F., Fazil, S., & Joseph, P. K. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9597-6 · Cited by 12

Measurement and analysis of multi-site photoplethysmographic pulse waveforms in health and arterial disease.

Allen, J. (2002) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 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. (2017) · Sensors · doi:10.3390/s17112450 · Cited by 12

Effects of aging on foot pedal responses to visual stimuli

Yuda, E., Yoshida, Y., Ueda, N., Kaneko, I., Miura, Y., & Hayano, J. (2020) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.1186/s40101-020-0213-2 · Cited by 12

Quantifying the Delays Between Multi-Site Photoplethysmography Pulse and Electrocardiogram R-R Interval Changes Under Slow-Paced Breathing

Allen, J. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01190 · Cited by 10

Photoplethysmogram Modeling of Extreme Bradycardia and Ventricular Tachycardia

Paliakaitė, B., Petrėnas, A., Sološenko, A., & Marozas, V. (2019) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-030-31635-8_141 · Cited by 10

Non-invasive assessment of cerebral hemodynamics with CWNIRS-ICG and application of EEMD-SSE in PPG signal extraction

Zha, Y., Liu, G., Shang, X., et al. (2017) · Optik · doi:10.1016/j.ijleo.2017.10.116 · Cited by 9

Pulse Wave Database (PWDB): A database of arterial pulse waves representative of healthy adults

Charlton, P. H., Harana, J. M., Vennin, S., et al. (2019) · Research Portal (King's College London) · doi:10.5281/zenodo.2633174 · Cited by 9

The 2004 47th Midwest Symposium on Circuits and Systems

(2004) · Conference proceedings · doi:10.1109/mwscas.2004.1353861 · Cited by 8

Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors

Charlton, P. H. (2017) · Research Portal (King's College London) · Cited by 6

Ensemble Empirical Mode Decomposition for atherosclerosis in high-risk subjects

Chen, C.-S., Liu, C.-C., Wu, H., et al. (2011) · International Conference on Information, Communications & Signal Processing (ICICS) · doi:10.1109/icics.2011.6173567 · Cited by 3

Using Smart Wearables to Monitor Cardiac Ejection

Mathieu, A. J. W., Charlton, P. H., & Alastruey, J. (2018) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-5-05744 · Cited by 3

Presentation of: An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram

Charlton, P. H. (2016) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.662805 · Cited by 2

Pulse waveforms and transit time from photoelectric plethysmography in the diagnosis of peripheral vascular disease.

Insall, R. L. (1991) · Europe PMC (PubMed Central) · Cited by 1

Wearable Photoplethysmography for Cardiovascular Monitoring

Charlton, P. H., Kyriacou, P. A., Mant, J., Marozas, V., Chowienczyk, P., & Alastruey, J. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3149785 · Cited by 250

Digital Signals Processing

Zaytsev, A. V. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-94873-3_31 · Cited by 4

Real-time EEG signal processing based on TI’s TMS320C6713 DSK

Tan, Z., Blanton, W., & Zhang, Q. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--22407 · Cited by 5

Application of Digital Signal Processing on TMS320C6713 DSK

Murmu, M. (2008) · Cited by 1

2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)

(2013) · doi:10.1109/dsp/spe20461.2013 · Cited by 13

2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)

(2011) · doi:10.1109/dsp/spe16730.2011 · Cited by 22