A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China
Liang, Yongbo, Chen, Zhencheng, Liu, Guiyong, Elgendi, Mohamed·2018·Scientific Data
Cited by (214)
Items 101–200 of 214
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- Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG SignalMd. Shaheenur Islam Sumon, Tasmir Ahmed, Muntakim Mahmud Khan, Md. Mezbah Ahmed Mahedi, Md Nazmul Islam Shuzan, Md Jaber Al Nahian · 2023 · International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)
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- Interpretable machine learning for hypertension detection using photoplethysmography (PPG) signals and their derivativesMin-Seo Song, Seung-Bo Lee · 2025 · Biomedical Signal Processing and Control
- Circuit Implementation of Memristive Fuzzy Logic for Blood Pressure Grading QuantificationYa Li, Shaojun Ji, Qinghui Hong · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
- Multi-datasets transfer multitask learning for simultaneous blood glucose and blood pressure monitoring using common PPG featuresNoor Faris Ali, Ibrahim M. Elfadel, Mohamed Atef · 2025 · Computers in Biology and Medicine
- Development of a Neural Network based model for Non-obtrusive Computation of BP from PhotoplethysmographAkshay Krishna, P. Durga, Rahul Krishnan Pathinarupothi · 2020 · IEEE Region 10 Symposium (TENSYMP)
- Presence of hypertension might pose a potential pitfall in detection of diabetes mellitus non-invasively using the second derivative of photoplethysmographyAhmet Taş, Yaren Alan, İlke Kara, Abdullah Savas, Muhammed İkbal Bayhan, Diren Ekici, Zeynep Atay, Fatih Sezer, Çağla Kitaplı, Sabahattin Umman et al. · 2023 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
- A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact DetectionThanh-Dung Le, Clara Macabiau, Kévin Albert, Philippe A. Jouvet, Rita Noumeir · 2024 · IEEE Access
- Synthetic photoplethysmogram (PPG) signal generation using a genetic programming-based generative modelFatemeh Ghasemi, Majid Sepahvand, Maytham N. Meqdad, Fardin Abdali-Mohammadi · 2024 · Journal of Medical Engineering & Technology
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- Temporal attention to estimate continuous blood pressure using photoplethysmography signalsSumbal Maqsood, Shuxiang Xu, Matthew Springer, Rami Mohawesh, Haythem Bany Salameh, Shivangi Gheewala · 2025 · Cluster Computing
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- Improving PPG Signal Classification with Machine Learning: The Power of a Second OpinionHamzeh Asgharnezhad, Afshar Shamsi, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad‐Rokny · 2023 · IEEE International Conference on Digital Signal Processing (DSP)
- Cuffless Non-invasive Blood Pressure Measurement Using CNN-LSTM Model: A Correlation StudyKok Beng Gan, Jie Shan Vanessa Leong · 2023 · International Journal on Robotics Automation and Sciences
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- Clinical Validation of the New 12-Lead ECG Noninvasive Panoramic Epi-endocardial Mapping TechnologyAmjed S. Al Fahoum, Ahmad Al Omari, Ghadeer Al Omari, Ala’a Zyout · 2023 · Computing in cardiology
- An Imperative Diagnostic Framework for PPG Signal Classification Using GRUNimmala Mangathayaru, B. Padmaja Rani, V. Janaki, Shilhora Akshay Patel, G. Sai Mohan, Lalith Bharadwaj Baru · 2021 · Communications in computer and information science
- Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical ParametersSaad Abdullah, Abdelakram Hafid, María Lindén, Mia Folke, Annica Kristoffersson · 2023 · Proceedings - IEEE Symposium on Computer-Based Medical Systems
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- Structure function in photoplethysmographic signal dynamics for physiological assessmentJavier de Pedro-Carracedo, David Fuentes-Jiménez, María Fernanda Cabrera-Umpiérrez, Ana Pilar Gonzalez-Marcos · 2025 · Scientific Reports
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- A survey On large language models for medical time seriesXingyue Liu, Feizhong Zhou, Hanguang Xiao, Zhipeng Li, Shuai Liu, Lingling Qian · 2026 · Expert Systems with Applications
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- Photoplethysmogram Recording Length: Defining Minimal Length Requirement from Dynamical CharacteristicsNina Sviridova, Tiejun Zhao, Akimasa Nakano, Tohru Ikeguchi · 2022 · Sensors
- Evaluation of Cuff-less Blood Pressure Monitoring Models over Multiple Data SetsJim Barnes, Colum Crowe, Brendan O’Flynn, Salvatore Antonio Tedesco · 2023 · Irish Signals and Systems Conference
- Hardware and software co-design for detecting hypertension from photoplethysmogramAditta Chowdhury, Mehdi Hasan Chowdhury, Diba Das, Sampad Ghosh, Ray C. C. Cheung · 2024 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
- PPG-Based Electronic Sensing System for Cuff-Less Calibration-Free Blood Pressure Estimation Using Machine Learning AlgorithmsChiara Botrugno, Francesco Dell’Olio · 2024 · IEEE Sensors Applications Symposium (SAS)
- Data-knowledge co-driven feature based prediction model via photoplethysmography for evaluating blood pressureQingfeng Tang, Chao Tao, Xin Li, Huihui Hu, Xiaoyu Chu, Shiping Liu, Liangliang Zhang, Benyue Su, Jiatuo Xu, Hui An · 2024 · Computers in Biology and Medicine
- Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal FeaturesYiliu Xu, Zhaoming He, Hao Wang · 2025 · Sensors
- Towards a Smartwatch for Cuff-Less Blood Pressure Measurement Using PPG Signal and Physiological FeaturesFranck Mouney, Téodor Tiplica, Magid Hallab, M. Dinomais, Jean-Baptiste Fasquel · 2020 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- The influence of physiological characteristics on blood pressure estimation using only PPG signalsYang Sen, Stephen P. Morgan, Siu‐Yeung Cho, Zhang Yaping · 2019 · IEEE International Conference on Electronic Measurement & Instruments
- Correlation Between Blood Pressure and Body Mass Index for Transfusion Therapy SetupLucian Evdochim, Василий Борисов, Konstantin E. Negodyaev, Aleksei E. Zhdanov, Leonid G. Dorosinskiy · 2021 · Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)
- Generalization of Data Reliability Metric (DReM) Mechanism for Pulsatile Bio-signalsMd Sabbir Zaman, Bashir I. Morshed · 2021 · IEEE International Conference on Electro Information Technology
- A New Blood Pressure Estimation Approach Using PPG Sensors: Subject Specific Evaluation over a Long-term PeriodFranck Mouney, Téodor Tiplica, Jean-Baptiste Fasquel, Magid Hallab, M. Dinomais · 2021 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- High-quality photoplethysmography signals using a new non-contact methodSarai Dominguez Hernandez, Гонзало Паез · 2025 · Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables
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- End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on WearablesFrancesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini C, Sara Vinco, Alessio Burrello, Daniele Jahier Pagliari · 2026 · ACM Transactions on Computing for Healthcare
- BiSpectral MRRNet for cuffless blood pressure estimation using cascaded multi receptive residual refinement and feature level ensemble learningShyamala Subramanian, Sashikala Mishra, Rajesh Dey, Rupali Mahajan, Sheng-Lung Peng, Chetna Vaishampayan · 2026 · Discover Artificial Intelligence
- Photoplethysmography acceleration indices as digital biomarkers of cardiometabolic healthGianluca Diana, Corin F. Otesteanu, Francesco Scardulla, Salvatore Pasta, Leonardo D’Acquisto, Carlo Menon · 2026 · Frontiers in Digital Health
- Edge Classification of Non-Invasive Blood Glucose Levels Based on Photoplethysmography SignalsErnia Susana, Kalamullah Ramli, Prima Dewi Purnamasari, Nursama Heru Apriyanto · 2022 · International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
- Estimating Physiological Parameters in Various Age Groups: Windkessel 4 Element Model and PPG Waveform Analysis ApproachAbdelakram Hafid, Saad Abdullah · 2023 · 2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET)
- Detecting Cardiovascular Disease From PPG Signals using Machine LearningTamara Al-Sadek, Julia Ahmad, Fadi Khoury, Heba M. Badawe, Massoud L. Khraiche · 2023 · IEEE International Multidisciplinary Conference on Engineering Technology (IMCET)
- Automated detection of hypertension from PPG signals using continuous wavelet transform and transfer learningShresth Gupta, Anurag Kumar Singh, Abhishek Sharma · 2024 · Elsevier eBooks
- Stress Detection and Classification from PPG Signals Recorded in Different Conditions - Pilot StudyJiří Přibil, Anna Přibilová, Ivan Frollo · 2024 · International Conference on Telecommunications and Signal Processing (TSP)
- Enhanced Non-Invasive Diabetes Classification with Effective Photoplethysmogram Signal Features for Future Point-of-Care DiagnosticsMahmudah Salwa Gianti, Nurhikam, Liptia Venica, Muhammad Rizalul Wahid, Diky Zakaria · 2024 · International Conference on Smart Mechatronics (ICSMech)
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- Detection of Diabetes using Short-duration PhotoplethysmographyPriya Sardar, Rajarshi Gupta, Jayanta Kumar Chandra · 2024 · IEEE Calcutta Conference (CALCON)
- Photoplethysmogram-based Cerebrovascular Disease Detection: A Machine Learning ApproachAditta Chowdhury, Kamrul Hasan, Monika Chowdhury, Diba Das, Sagar Mutsuddi, Mehdi Hasan Chowdhury · 2024 · International Conference on Innovations in Science, Engineering and Technology (ICISET)
- Multi-Label Machine Learning Classification of Cardiovascular DiseasesChih-Ta Yen, Jung-Ren Wong, Chia-Hsang Chang · 2025 · Computers, materials & continua/Computers, materials & continua (Print)
- Beyond Cuffs and Needles: Exploring Photoplethysmography-Based Machine Learning for Blood Pressure EstimationHaifaa Dwaish, Firas M. Sabar · 2025 · Journal of education for pure science.
- Determination of Hypertension Disease with Optimal Frequency Range of Short-Time Photopletismography SignalsTugba AYDEMIR, ve Mehmet SAHIN, Önder Aydemir · 2020 · Medical Technologies Congress (TIPTEKNO)
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- Type 2 Diabetes Detection with Light CNN from Single Raw PPG WaveSerena Zanelli, Mehdi Ammi, Magid Hallab, Mounîm A. El‐Yacoubi · 2022 · SSRN Electronic Journal
- A Detailed Schematic Study on AI in managing Hypertension: A Position PaperPramod Rout, Manaswini Pradhan, Lalitendu Rout · 2022 · SSRN Electronic Journal
- GRU-Based Fusion Models for Enhanced Non-Invasive Blood Pressure Estimation from PPG SignalsSyamsul Rizal, Ana Rahma Yuniarti · 2023
- Speckle contrast optical spectroscopy improves cuffless blood pressure estimation compared to photoplethysmographyAriane Garrett, Byungchan Kim, Nil Z. Gurel, Edbert Jarvis Sie, Benjamin K. Wilson, Francesco Marsili, John P. Forman, Naomi M. Hamburg, David A. Boas, Darren M. Roblyer · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Corrigendum to “Automatic Classification of Hypertension Types Based on Personal Features by Machine Learning Algorithms”Majid Nour, Kemal Polat · 2020 · Mathematical Problems in Engineering
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- A Potential Pitfall in Detection of Diabetes Mellitus Non-invasively Using the Second-Derivative of Photoplethysmography: Coexisting Hypertension May Blunt the Distinctive Difference in Early Negative to Initial Positive Wave Ratio (b/a) Between People With and Without DiabetesAhmet Taş, Yaren Alan, İlke Kara, Abdullah Savas, Muhammed İkbal Bayhan, Diren Ekici, Zeynep Atay, Fatih Sezer, Çağla Kitaplı · 2022 · medRxiv
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- Hypertension Risk Stratification and Detection of Diabetes Mellitus- II: A Machine Learning and Deep Learning Paradigm for Early Assessment using PhotoplethysmographyM.A. Khan, Bikesh Kumar Singh, Neelamshobha Nirala · 2023 · Research Square
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- PPGAI index as a photoplethysmographic biomarker for type 2 diabetes mellitusAlessandro Gentilin, Antonio Cevese · 2024 · Endocrinología Diabetes y Nutrición
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