Publications citing Brno University of Technology Smartphone PPG Database (BUT PPG) v2.0.0

Multimodal joint data augmentation-based biometric authentication with deep feature fusion
Guichuan Zhao, Youliang Tian, Qi Gang Jiang et al. Information Sciences, 2026. Cites: paper

Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis
Zhaoliang Chen, Saurabh Kataria, Minxiao Wang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Cites: paper

Feature Selection and Performance Analysis for Heart Rate Estimation from Smartphone Photoplethysmography
Ismi Azizah, Fatma Indriani, Dodon Turianto Nugrahadi et al. International Conference on Intelligent and Sustainable AI Systems (ICOSAAS), 2026. Cites: paper

Context-Dependent Age-Group performance hierarchies limit fairness interventions in PPG-based heart rate prediction
Lovely Yeswanth Panchumarthi, Saurabh Kataria, Yi Wu et al. medRxiv, 2026. Cites: paper

Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram
Aleksandar Lazović, Vladimir A. Atanasoski, Predrag R. Tadic et al. Scientific Data, 2025. Cites: dataset, paper

A Comprehensive PPG-based Dataset for HR/HRV Studies
Jingye Xu, Yuntong Zhang, Wei Wang et al. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper

Real-Time Optimization of VMD in Healthcare Embedded Systems Using Parallel Processing with OpenMP
Zakaria El Khadiri, Rachid Latif, Amine Saddik. International Journal of Online and Biomedical Engineering (iJOE), 2025. Cites: dataset, paper

Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation
Achal Shetty, Sanjana Savanadurga Narasimhamurthy, K.S. Nataraj et al. Journal of Family Medicine and Primary Care, 2025. Cites: paper

Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool
Maria Galanty, Dieuwertje Maria Rebecca Luitse, Sijm H. Noteboom et al. Scientific Reports, 2024. Cites: dataset, paper

Elevating Pulse Analysis: Variational and Empirical Mode Decomposition Algorithms for Heart Rate Extraction from Plethysmography Waves*
Zakaria El Khadiri, Rachid Latif, Amine Saddik. International Conference on Embedded Systems and Artificial Intelligence (ESAI), 2024. Cites: paper

Validity of resting heart rate derived from contact-based smartphone photoplethysmography (PPG) compared with electrocardiography (ECG): A 2024 updated systematic review and meta-analysis of correlation coefficients. (Preprint)
James D. Mather, Nicholas F. Sculthorpe, Jacqueline Louise Mair et al. 2024. Cites: paper

On the Performance of Composite 1D-to-2D Projections for Signal Quality Assessment
Guilherme Suzuki, Pedro Garcia Freitas. 2024. Cites: paper

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review
Linas Saikevičius, Vidas Raudonis, Gintaras Dervinis et al. Sensors, 2024. Cites: paper

Cyber-physical System for Monitoring and Analyzing Human Biomedical Data
Ihor Kogut, Volodymyr Gryga, Bogdan Dzundza et al. Advances in Cyber-Physical Systems, 2024. Cites: paper

Validity of resting heart rate derived from contact-based smartphone photoplethysmography compared with electrocardiography: a scoping review and checklist for optimal acquisition and reporting
James D. Mather, Lawrence D. Hayes, Jacqueline Louise Mair et al. Frontiers in Digital Health, 2024. Cites: paper

Literature Review of Deep Learning for Physiological signal Analysis
Nicolás Ortiz, Ruben Darío Hernández Beleño, Mario Aldape Pérez et al. 2023. Cites: paper

Your smartphone could act as a pulse-oximeter and as a single-lead ECG
Ahsan Mehmood, Asma Sarouji, Muhammad Mahboob Ur Rahman et al. Scientific Reports, 2023. Cites: paper

Prediction of therapy for ischemic heart disease from PPG signals using fuzzy GRU network
Poulomi Pal, Manjunatha Mahadevappa. Biomedical Signal Processing and Control, 2023. Cites: dataset

Photoplethysmographic Signal Quality Assessment: a Comparative Study of Unsupervised and Supervised Neural Networks
Anna Sabatini, Luca Bacco, Leonardo Lotini et al. IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 2023. Cites: dataset, paper

A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study
Marnie K. McLean, Robert Glenn Weaver, Abbi D. Lane‐Cordova et al. Sensors, 2023. Cites: dataset, paper

Reflex Auriculo-Cardiac (RAC) Induced by Auricular Laser and Needle Acupuncture: New Case Results Using a Smartphone
Ying-Ling Chen, Kun-Chan Lan, Mark C. Hou et al. Life, 2023. Cites: paper

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks
Kianoosh Kazemi, Juho Laitala, Iman Azimi et al. Sensors, 2022. Cites: paper

Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment
Alexander Neshitov, Konstantin Tyapochkin, Evgeniya Smorodnikova et al. Sensors, 2021. Cites: paper

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