Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications

Photoplethysmography: Beyond the Calculation of Arterial Oxygen Saturation and Heart Rate

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Motion Artifact Reduction in Photoplethysmography Using Independent Component Analysis

Kim, B., & Yoo, S. K. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.869784 · Cited by 400 · see citing works

Line Extraction in 2D Range Images for Mobile Robotics

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An Automatic Beat Detection Algorithm for Pressure Signals

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The Light–Tissue Interaction of Pulse Oximetry

Mannheimer, P. D. (2007) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000269522.84942.54 · Cited by 194 · see citing works

Signal quality measures for pulse oximetry through waveform morphology analysis

Sukor, J. A., Redmond, S. J., & Lovell, N. H. (2011) · Physiological Measurement · doi:10.1088/0967-3334/32/3/008 · Cited by 166 · see citing works

Exact dynamic map building for a mobile robot using geometrical primitives produced by a 2D range finder

Vandorpe, J., Brussel, H. V., & Xu, H. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1996.503887 · Cited by 130 · see citing works

CapnoBase: Signal database and tools to collect, share and annotate respiratory signals

Karlen, W., Turner, M., Cooke, E., Dumont, G. A., & Ansermino, J. M. (2010) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000087887 · Cited by 114 · see citing works

ECG segmentation using time-warping

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HUMAN-CENTERED PHONE OXIMETER INTERFACE DESIGN FOR THE OPERATING ROOM - Pulse Oximeter Interfaced to a Mobile Device for Anesthesia Monitoring in the Developing World

Karlen, W., Dumont, G. A., Petersen, C., GOW, J. L., Lim, J. M.-Y., Sleiman, J., & Ansermino, J. M. (2011) · International Conference on Health Informatics · doi:10.5220/0003335204330438 · Cited by 42 · see citing works

An Improved Pre-processing Approach for Photoplethysmographic Signal

Weng, J., Ye, Z., & Weng, J. (2005) · doi:10.1109/iembs.2005.1616337 · Cited by 29 · see citing works

PPG delineator for real-time ubiquitous applications

Farooq, U., Jang, D.-G., Park, J.-H., & Park, S.-H. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626023 · Cited by 25 · see citing works

Photoplethysmogram Processing Using an Adaptive Single Frequency Phase Vocoder Algorithm

Karlen, W., Petersen, C., GOW, J. L., Ansermino, J. M., & Dumont, G. A. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-29752-6_3 · Cited by 4 · see citing works

Multiparameter Respiratory Rate Estimation From the Photoplethysmogram

Karlen, W., Raman, S., Ansermino, J. M., & Dumont, G. A. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2246160 · Cited by 486 · see citing works

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters

Pimentel, M. A. F., Johnson, A. E. W., Charlton, P. H., Birrenkott, D. A., Watkinson, P., Tarassenko, L., & Clifton, D. A. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2613124 · Cited by 391 · see citing works

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

Charlton, P. H., Bonnici, T., Tarassenko, L., Clifton, D. A., Beale, R., & Watkinson, P. J. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/4/610 · Cited by 366 · see citing works

Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring

Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348 · see citing works

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 · see citing works

1001985.pdf

Data, M. C. (2020) · OAPEN (The OAPEN Foundation) · doi:10.1007/978-3-319-43742-2 · Cited by 255 · see citing works

Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants

Charlton, P. H., Bonnici, T., Tarassenko, L., Alastruey, J., Clifton, D. A., Beale, R. J., & Watkinson, P. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa670e · Cited by 140 · see citing works

Wearable Photoplethysmography for Cardiovascular Monitoring.

Charlton, P. H., Kyriacou, P. A., Mant, J., Marozas, V., Chowienczyk, P., & Alastruey, J. (2022) · KTUePubl (Repository of Kaunas University of Technology) · doi:10.17863/cam.81148 · Cited by 113 · see citing works

Detecting beats in the photoplethysmogram: benchmarking open-source algorithms

Charlton, P. H., Kotzen, K., Mejía‐Mejía, E., Aston, P. J., Budidha, K., Mant, J., Pettit, C., Behar, J. A., & Kyriacou, P. A. (2022) · Physiological Measurement · doi:10.1088/1361-6579/ac826d · Cited by 99 · see citing works

An Algorithm for Real-Time Pulse Waveform Segmentation and Artifact Detection in Photoplethysmograms

Fischer, C., Dömer, B., Wibmer, T., & Penzel, T. (2016) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2518202 · Cited by 91 · see citing works

A Robust Pulse Onset and Peak Detection Method for Automated PPG Signal Analysis System

Vadrevu, S., & Manikandan, M. S. (2018) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2018.2857878 · Cited by 85 · see citing works

Robust PPG motion artifact detection using a 1-D convolution neural network

Goh, C., Tan, L. K., Lovell, N. H., Ng, S., Tan, M. P., & Lim, E. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105596 · Cited by 80 · see citing works

Real-Time PPG Signal Quality Assessment System for Improving Battery Life and False Alarms

Vadrevu, S., & Manikandan, M. S. (2019) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2019.2891636 · Cited by 79 · see citing works

On-Device Integrated PPG Quality Assessment and Sensor Disconnection/Saturation Detection System for IoT Health Monitoring

Reddy, G. N. K., Manikandan, M. S., & Murty, N. V. L. N. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.2971132 · Cited by 69 · see citing works

Estimation of Mental Distress from Photoplethysmography

Zangróniz, R., Martínez‐Rodrigo, A., López, M. T., Pastor, J. M., & Fernández‐Caballero, A. (2018) · Applied Sciences · doi:10.3390/app8010069 · Cited by 58 · see citing works

Heart rate variability measurement and influencing factors: Towards the standardization of methodology

Damoun, N., Amekran, Y., Taiek, N., & Hangouche, A. J. E. (2024) · Global Cardiology Science and Practice · doi:10.21542/gcsp.2024.35 · Cited by 52 · see citing works

Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry

Karlen, W., Garde, A., Myers, D., Scheffer, C., Ansermino, J. M., & Dumont, G. A. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2429746 · Cited by 49 · see citing works

Real-Time Quality-Aware PPG Waveform Delineation and Parameter Extraction for Effective Unsupervised and IoT Health Monitoring Systems

Vadrevu, S., & Manikandan, M. S. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2917157 · Cited by 38 · see citing works

Waveform Analysis to Estimate Respiratory Rate

Charlton, P. H., Villarroel, M., & Salguiero, F. (2016) · Springer eBooks · doi:10.1007/978-3-319-43742-2_26 · Cited by 37 · see citing works

The mountaineer's method for peak detection in photoplethysmographic signals

Prada, E. J. A. (2019) · Revista Facultad de Ingeniería Universidad de Antioquia · doi:10.17533/udea.redin.n90a06 · Cited by 35 · see citing works

Evaluation of Objective Distortion Measures for Automatic Quality Assessment of Processed PPG Signals for Real-Time Health Monitoring Devices

Reddy, G. N. K., Manikandan, M. S., & Murty, N. V. L. N. (2022) · IEEE Access · doi:10.1109/access.2022.3148256 · Cited by 34 · see citing works

SpO 2 Measurement: Non-Idealities and Ways to Improve Estimation Accuracy in Wearable Pulse Oximeters

Berwal, D., Kuruba, A., Shaikh, A. M., Udupa, A., & Baghini, M. S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3170069 · Cited by 32 · see citing works

Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices

Reddy, G. N. K., Manikandan, M. S., Murty, N. V. L. N., & Cenkeramaddi, L. R. (2023) · IEEE Access · doi:10.1109/access.2023.3269584 · Cited by 32 · see citing works

A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline findings

Hartinger, S. M., Martínez, N. N., Hattendorf, J., Verástegui, H., Karlen, W., Ortiz, M., & Mäusezahl, D. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-00950-y · Cited by 29 · see citing works

Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit

Jorge, J., Villarroel, M., Chaichulee, S., Green, G., McCormick, K. P., & Tarassenko, L. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2898273 · Cited by 25 · see citing works

An Evaluation of Non-Contact Photoplethysmography-Based Methods for Remote Respiratory Rate Estimation

Boccignone, G., D’Amelio, A., Ghezzi, O., Grossi, G., & Lanzarotti, R. (2023) · Sensors · doi:10.3390/s23073387 · Cited by 24 · see citing works

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 · see citing works

BreathCoach: A smart in-home breathing training system with bio-feedback via VR game

Tu, L., Tian, H., Bi, C., & Xing, G. (2019) · Smart Health · doi:10.1016/j.smhl.2019.100090 · Cited by 24 · see citing works

RespWatch

Dai, R., Lu, C., Avidan, M. S., & Kannampallil, T. (2021) · IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI) · doi:10.1145/3450268.3453531 · Cited by 23 · see citing works

RESPIRE: A Spectral Kurtosis-Based Method to Extract Respiration Rate from Wearable PPG Signals

Dubey, H., Constant, N. P., & Mankodiya, K. (2017) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1109/chase.2017.64 · Cited by 22 · see citing works

A combined segmenting and non-segmenting approach to signal quality estimation for ambulatory photoplethysmography

Wander, J. D., & Morris, D. (2014) · Physiological Measurement · doi:10.1088/0967-3334/35/12/2543 · Cited by 21 · see citing works

New method to measure interbreath intervals in infants for the assessment of apnoea and respiration

Adjei, T., Purdy, R., Jorge, J., Adams, E., Buckle, M., Fry, R. E., Green, G., Patel, C. K., Rogers, R., Slater, R., et al. (2021) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2021-001042 · Cited by 19 · see citing works

A low-complexity PPG pulse detection method for accurate estimation of the pulse rate variability (PRV) during sudden decreases in the signal amplitude

Prada, E. J. A., & Higinio, A. P. (2020) · Physiological Measurement · doi:10.1088/1361-6579/ab7878 · Cited by 15 · see citing works

On the development of an efficient, low-complexity and highly reproducible method for systolic peak detection

Prada, E. J. A., Gallego, C. A. B., & García, J. F. C. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102606 · Cited by 16 · see citing works

Detection of the optimal region of interest for camera oximetry

Karlen, W., Ansermino, J. M., Dumont, G. A., & Scheffer, C. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609988 · Cited by 16 · see citing works

A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model

Chin, W. J., Kwan, B.-H., Lim, W. Y., Tee, Y. K., Darmaraju, S., Liu, H., & Goh, C. (2024) · Diagnostics · doi:10.3390/diagnostics14030284 · Cited by 16 · see citing works

Validating a Consumer Smartwatch for Nocturnal Respiratory Rate Measurements in Sleep Monitoring

Jung, H., Kim, D., Choi, J., & Joo, E. Y. (2023) · Sensors · doi:10.3390/s23187976 · Cited by 15 · see citing works

Near-Real-Time Detection of Pulse Oximeter PPG Peaks Using Wavelet Decomposition

Campbell, J. D., Pretty, C. G., Chase, J. G., & Bones, P. J. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.11.652 · Cited by 13 · see citing works

Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention

Mäkynen, M., Ng, G. A., Li, X., Schlindwein, F. S., & Pearce, T. (2024) · Sensors · doi:10.3390/s24154787 · Cited by 12 · see citing works

A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG)

Alam, J., Khan, M. F., Khan, M. A., Singh, R., Mundazeer, M., & Kumar, P. (2023) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-023-10462-x · Cited by 14 · see citing works

Adaptive thresholding with inverted triangular area for real-time detection of the heart rate from photoplethysmogram traces on a smartphone

Jiang, W. J., Wittek, P., Zhao, L., & Gao, S. C. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944306 · Cited by 12 · see citing works

PPG in clinical monitoring

Alian, A. A., & Shelley, K. H. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823374-0.00006-2 · Cited by 12 · see citing works

Variability of respiratory rate measurements in neonates- every minute counts

Njeru, C. M., Ansermino, J. M., Macharia, W., & Dunsmuir, D. T. (2022) · BMC Pediatrics · doi:10.1186/s12887-021-03087-z · Cited by 11 · see citing works

Optimal Preprocessing of Raw Signals from Reflective Mode Photoplethysmography in Wearable Devices

Wolling, F., Wasala, S. M., & Laerhoven, K. V. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630955 · Cited by 10 · see citing works

Respiratory rate assessment from photoplethysmographic imaging

Karlen, W., Garde, A., Myers, D., Scheffer, C., Ansermino, J. M., & Dumont, G. A. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944846 · Cited by 10 · see citing works

Assessment of neonatal respiratory rate variability

Coleman, J., Ginsburg, A. S., Macharia, W., Ochieng, R., Chomba, D., Zhou, G., Dunsmuir, D. T., Karlen, W., & Ansermino, J. M. (2022) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-022-00840-2 · Cited by 11 · see citing works

A pulse oximeter system, OxiSense , with embedded signal processing using an ultra-low power ASIC designed for testability

Das, D. M., Gupta, A., Srivastava, A., Vidwans, A., Ahmad, M., Shelke, A., Kale, S., Ananthapadmanabhan, J., Sharma, D. K., & Baghini, M. S. (2017) · Microelectronics Journal · doi:10.1016/j.mejo.2017.12.001 · Cited by 9 · see citing works

BreathCoach

Tu, L., Bi, C., Tian, H., & Xing, G. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3267582 · Cited by 9 · see citing works

A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 2: Multi-input Methods*

Johnson, M. S. S., & Eklund, J. M. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc44109.2020.9175827 · Cited by 7 · see citing works

Evaluation of Sibel’s Advanced Neonatal Epidermal (ANNE) wireless continuous physiological monitor in Nairobi, Kenya

Coleman, J., Ginsburg, A. S., Macharia, W., Ochieng, R., Chomba, D., Zhou, G., Dunsmuir, D. T., Xu, S., & Ansermino, J. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267026 · Cited by 10 · see citing works

Benchmarking Photoplethysmography Peak Detection Algorithms Using the Electrocardiogram Signal as a Reference

Kotzen, K., Charlton, P. H., Landesberg, A., & Behar, J. A. (2021) · Computing in cardiology · doi:10.23919/cinc53138.2021.9662889 · Cited by 8 · see citing works

Design and development of an Internet‐of‐Things enabled wearable ExG measuring system with a novel signal processing algorithm for electrocardiogram

Das, D. M., Vidwans, A., Srivastava, A., Ahmad, M., Vaishnav, S., Dewan, S., & Baghini, M. S. (2019) · IET Circuits Devices & Systems · doi:10.1049/iet-cds.2018.5498 · Cited by 8 · see citing works

Fewer Samples for a Longer Life Span

Wolling, F., & Laerhoven, K. V. (2018) · International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) · doi:10.1145/3266157.3266209 · Cited by 7 · see citing works

Identification of thresholds for accuracy comparisons of heart rate and respiratory rate in neonates

Coleman, J., Ginsburg, A. S., Macharia, W., Ochieng, R., Zhou, G., Dunsmuir, D. T., Karlen, W., & Ansermino, J. M. (2021) · Gates Open Research · doi:10.12688/gatesopenres.13237.2 · Cited by 7 · see citing works

A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 1: Single Input Methods*

Johnson, M. S. S., & Eklund, J. M. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc44109.2020.9176353 · Cited by 3 · see citing works

Identification of thresholds for accuracy comparisons of heart rate and respiratory rate in neonates

Coleman, J., Ginsburg, A. S., Macharia, W., Ochieng, R., Zhou, G., Dunsmuir, D. T., Karlen, W., & Ansermino, J. M. (2021) · Gates Open Research · doi:10.12688/gatesopenres.13237.1 · Cited by 6 · see citing works

Clinical feasibility of a contactless multiparameter continuous monitoring technology for neonates in a large public maternity hospital in Nairobi, Kenya

Ginsburg, A. S., Nia, S. Z., Chomba, D., Dunsmuir, D. T., Waiyego, M., Coleman, J., Ochieng, R., Liu, S., Zhou, G., Ansermino, J. M., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-07189-1 · Cited by 6 · see citing works

Clinical feasibility of an advanced neonatal epidermal multiparameter continuous monitoring technology in a large public maternity hospital in Nairobi, Kenya

Ginsburg, A. S., Nia, S. Z., Chomba, D., Parsimei, M., Dunsmuir, D. T., Waiyego, M., Coleman, J., Ochieng, R., Zhou, G., Macharia, W., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-16051-3 · Cited by 6 · see citing works

Signal completion using generative adversarial networks for enhanced photoplethysmography measurement accuracy

Shin, H. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108952 · Cited by 4 · see citing works

Kolmogorov–Arnold and Long Short-Term Memory Convolutional Network Models for Supervised Quality Recognition of Photoplethysmogram Signals

Mehrab, A. K. M. F., Lapenna, M., Zanchetta, F., Simonetti, A., Faglioni, G., Malagoli, A., & Fioresi, R. (2025) · Entropy · doi:10.3390/e27040326 · Cited by 4 · see citing works

Efficient and lightweight detection of PPG onset and systolic peaks using implementable time-domain strategies

Chakraborty, A., Sadhukhan, D., & Mitra, M. (2022) · Measurement · doi:10.1016/j.measurement.2022.111628 · Cited by 4 · see citing works

A Novel Photoplethysmographic Noise Removal Method via Wavelet Transform to Effective preprocessing

Georgieva-Tsaneva, G. N. (2022) · International Conference on Computer Systems and Technologies (CompSysTech) · doi:10.1145/3546118.3546145 · Cited by 4 · see citing works

Robust Estimation of Respiratory Rate from Photoplethysmogram with Respiration Quality Analysis

Sultan, M. A., & Saadeh, W. (2022) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas48785.2022.9937671 · Cited by 4 · see citing works

Devices based on photoplethysmogram and pulse oximetry

Bolić, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820947-9.00002-7 · Cited by 4 · see citing works

Measuring Vascular Recovery Rate After Exercise

Dijab, H., Alastruey, J., & Charlton, P. H. (2018) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-5-05746 · Cited by 4 · see citing works

A model for generating synthetic arterial blood pressure

Mahdi, A., Clifford, G. D., & Payne, S. J. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa51b8 · Cited by 4 · see citing works

A Robust Method of Peak Detection in Noisy PPG Signals Using a Structure of IIR Filters

Campbell, J. D., Pretty, C. G., Chase, J. G., & Bones, P. J. (2018) · IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications · doi:10.1109/mesa.2018.8449169 · Cited by 4 · see citing works

Respiratory Rate Estimation from the Photoplethysmogram Combining Multiple Respiratory-induced Variations Based on SQI

Yang, H., Li, M., He, D. K., Che, X., & Qin, X. (2019) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2019.8816323 · Cited by 4 · see citing works

Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogram

Xiao, S., Yang, P., Liu, L., Zhang, Z., & Wu, J. (2020) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-64991-3_13 · Cited by 4 · see citing works

Direct vs. Indirect Charge Transfer: A Paradigm Shift in Phase-Spanning Triboelectric Nanogenerators Focused on Liquid and Gas Interfaces

Ahn, J. H., Nguyen, Q. T., Nguyen, T. T., Rabbi, M. F., Nguyen, V. H., Lee, Y. H., & Ahn, K. K. (2025) · Energies · doi:10.3390/en18215709 · Cited by 3 · see citing works

An automatic method for motion artifacts detection in photoplethysmographic signals referenced with electrocardiography data

Vaz, P. G., Henriques, J. M. O., Carvalho, P., & Couceiro, R. (2014) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2014.7002864 · Cited by 3 · see citing works

Towards Interval Type-2 Fuzzy-Based PPG Quality Assessment for Physiological Monitoring

Miranda, J., Páez-Montoro, A., López-Ongil, C., & Andreu-Pérez, J. (2022) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee55066.2022.9882649 · Cited by 3 · see citing works

A Robust Beat-to-Beat Artifact Detection Algorithm for Pulse Wave

Hu, Q., Deng, X., Liu, X., Wang, A., & Yang, C. (2020) · Mathematical Problems in Engineering · doi:10.1155/2020/5691805 · Cited by 3 · see citing works

Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion

Zhang, C., Wei, S., Ge, D., Zeng, Y., Zhu, G., Zhou, X., & Liu, F. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107006 · Cited by 2 · see citing works

A novel hardware implementation for detecting respiration rate using photoplethysmography

Prinable, J., Jones, P., Thamrin, C., & McEwan, A. L. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8036927 · Cited by 2 · see citing works

Motion Artefact Removal using Single Beat Classification of Photoplethysmographic Signals

Li, L., & Abeysekera, S. S. (2019) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2019.8702180 · Cited by 2 · see citing works

Continuous Measurement of Respiratory Rate via Single-Wavelength Reflective Photoplethysmography

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Fuzzy entropy based motion artifact detection and pulse rate estimation for fingertip photoplethysmography

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