Publications citing MIMIC-II Clinical Database v2.6.0

Advancements in Neuroanesthesia Through Artificial Intelligence
Ala Nozari, Dhanesh D. Binda, Maxwell B. Baker. Anesthesiology Clinics, 2025. Cites: paper

Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism
Hanieh Mohammadi, Bahram Tarvirdizadeh, Khalil Alipour et al. Scientific Reports, 2025. Cites: paper

Data-driven trends in critical care informatics: a bibliometric analysis of global collaborations using the MIMIC database (2004–2024)
Xiyue Zhang, Weimin Kong, Rongfen Shi et al. Computers in Biology and Medicine, 2025. Cites: 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

Temporal attention to estimate continuous blood pressure using photoplethysmography signals
Sumbal Maqsood, Shuxiang Xu, Matthew Springer et al. Cluster Computing, 2025. Cites: paper

A Hybrid Approach for Irregular-Time Series Prediction Using Electronic Health Records: An Intensive Care Unit Mortality Case Study
Shaojie Zhong, Li Rong Wang, Zhuoxuan Zhan et al. ACM Transactions on Computing for Healthcare, 2025. Cites: paper

Speckle contrast optical spectroscopy for cuffless blood pressure estimation based on microvascular blood flow and volume oscillations
Ariane Garrett, Byungchan Kim, Nil Z. Gurel et al. Biomedical Optics Express, 2025. Cites: paper

Real-Time Blood Pressure Fluctuation Monitoring Based on Pulse Transit Time for Tilt Bed
Weiquan Chen, Yantong Chen, Jia Xu et al. International Conference on Bioinformatics and Biomedical Technology (ICBBT), 2025. Cites: paper

Leveraging NLP for Disease Diagnosis and Symptom Analysis
Tony Thomas. International Journal for Research in Applied Science and Engineering Technology, 2025. Cites: paper

A computationally efficient algorithm for estimating respiratory rate from seismocardiogram
Tien-Hsiung Ku, Yue‐Der Lin. Biomedical Signal Processing and Control, 2025. Cites: paper

MSCG-Net: A multi-scale cross-guidance neural network with generalizability for physiological signal analysis
Yongjian Li, Meng Chen, Xinge Jiang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Prediction of new-onset atrial fibrillation in sepsis patients by machine learning: A systematic review
Shuxuan Ye, Wan Xu, Zhiyu Jiang et al. Digital Health, 2025. Cites: paper

Exploring the limitations of blood pressure estimation using the photoplethysmography signal
Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Arruda Fiuza de Toledo et al. Physiological Measurement, 2025. Cites: paper

A Non-invasive Blood Glucose Detection Method: Using Fluctuation Analysis to Evaluate Heart Rate Variability
Yuchen Zhang, Shuyuan Tan, Hongjie Guan et al. Research Square, 2025. Cites: paper

Enhanced Fox Optimizer for Internet of Things Powered Personalized Healthcare Systems
Yanling Wang, Chao Wang. International Journal of Communication Systems, 2025. Cites: paper

Explainable machine learning to identify risk factors for unplanned hospital readmissions in Nova Scotian hospitals
Mariano Maisonnave, Enayat Rajabi, Majid Taghavi et al. Computers in Biology and Medicine, 2025. Cites: paper

Исследование параметров фотоплетизмографических сигналов, в наибольшей степени связанных с артериальным давлением
Павел Петренко. 2025. Cites: paper

Iterative Reservoir Computing Networks for Reconstructing Irregular Time Series
Yuan-Hung Kuan, Vignesh Narayanan, Jr-Shin Li. IEEE Transactions on Neural Networks and Learning Systems, 2025. Cites: paper

ECG-Based Biometric Recognition: A Survey of Methods and Databases
David Meltzer, David Luengo. Sensors, 2025. Cites: paper

Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease
Amandeep Minhas, Subhash Chandra Pal, Karan Jain. Scientific Reports, 2025. Cites: paper

Evaluating the influence MRSA Co-infection on 28-day mortality among sepsis patients: insights from the MIMIC-IV database
Yi‐Chang Zhao, Jia-Kai Li, Yukun Zhang et al. Frontiers in Pharmacology, 2025. Cites: paper

PPGAIHI: Efficient Authentication in Healthcare IoT via CNN- and Distance-Based Thresholding
Sunghan Lee, GyeongBong Kim, In Cheol Jeong. IEEE Internet of Things Journal, 2025. Cites: paper

Predicting hemodynamic parameters based on arterial blood pressure waveform using self-supervised learning and fine-tuning
Ke Liao, Armağan Elibol, Ziyan Gao et al. Applied Intelligence, 2025. Cites: paper

Continuous blood pressure monitoring based on improved multi-scale U-net assisted with piezoelectric polymer nanocomposite sensors
Peng Huang, Qiaoqiao Wei, Bozheng Wang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

A novel method solves the game of complementarity and redundancy in multimodal signals for reconstructing blood pressure signals
Yongjian Li, Meng Chen, Xinge Jiang et al. Digital Signal Processing, 2025. Cites: paper

"Time-Varying In-Hospital Mortality Prediction with Apache Spark"
Rohit Singh Raja. IEEE International Conference on AI in Cybersecurity (ICAIC), 2025. Cites: paper

SZ4IoT: an adaptive lightweight lossy compression algorithm for diverse IoT devices and data types
Sara Kadhum Idrees, Joseph Azar, Raphaël Couturier et al. The Journal of Supercomputing, 2025. Cites: paper

Estimation of vital parameters from photoplethysmography using deep learning architecture
Chellakkon Helen Sulochana, S. L. Siva Dharshini, S. A. Praylin Selva Blessy. Signal Image and Video Processing, 2025. Cites: paper

Comparative Study on the Generalization Ability of Machine Learning and Deep Learning Algorithms for Quality Assessment of Wearable PPG Recordings
Santiago Mula, Roberto Zangróniz, Óscar Ayo Martín et al. IEEE Access, 2025. Cites: paper

Continuous Cuff-Less Blood Pressure Estimation Using Lightweight Binary Tree Neural Network
Yongjian Li, Meng Chen, Chunyuan Wang et al. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

On the Two-fold Role of Logic Constraints in Deep Learning
Gabriele Ciravegna. Firenze University Press eBooks, 2025. Cites: paper

Removal of Motion Artifacts From the PPG Signal Using Attentive Generative Adversarial Networks With Dual Discriminator
Phattarapong Sawangjai, Narongrid Seesawad, Theerawit Wilaiprasitporn. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

Resource-Efficient Compressive PPG Sensing Encoders With Best Sensing Matrix and Sparse Recovery Algorithm for IoT Wearable and Edge Devices
Jayarani Medakal Anirudhan, M. Sabarimalai Manikandan, Subrahmanyam Mula et al. IEEE Access, 2025. Cites: paper

Swin Transformer-based Cuffless Blood Pressure Estimation using Cardiovascular Signals
Vinit Kumar, Manu Mishra, Maulesh Gadani et al. IEEE India Conference, 2024. Cites: paper

Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression
Sushant Kumar, Ram Bilas Pachori, Bhabesh Deka et al. SN Computer Science, 2024. Cites: paper

Robust modelling of arterial blood pressure reconstruction from photoplethysmography
Jiating Pan, Lishi Liang, Yongbo Liang et al. Scientific Reports, 2024. Cites: paper

Data-Driven Strategies for Cardiovascular Medication Management: A Dual Approach Using Decision Tree Modeling and Process Mining
Parham Porouhan. International Conference on ICT and Knowledge Engineering, 2024. Cites: paper

MIMIC-BP: A curated dataset for blood pressure estimation
Ivandro Sanches, Victor V. Gomes, Carlos Caetano et al. Scientific Data, 2024. Cites: paper

Optimized robust learning framework based on big data for forecasting cardiovascular crises
Nadia G. Elseddeq, Sally M. Elghamrawy, Ali Ibrahim El-Desouky et al. Scientific Reports, 2024. Cites: paper

Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review
Erick Javier Argüello Prada, Javier Ferney Castillo García. Sensors, 2024. Cites: paper

ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learning
Moajjem Hossain Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study
Océane Dorémus, Dylan Russon, Benjamin Contrand et al. JMIR AI, 2024. Cites: paper

rU-Net, Multi-Scale Feature Fusion and Transfer Learning: Unlocking the Potential of Cuffless Blood Pressure Monitoring With PPG and ECG
Jiaming Chen, Xueling Zhou, Lei Feng et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion
Chi Zhang, Shaoming Wei, Dong Ge et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors
Paul R. Hibbing, Maryam Misal Khan. JMIR mhealth and uhealth, 2024. Cites: paper

A review of machine learning methods for non-invasive blood pressure estimation
Ravi Pal, Joshua Le, Ákos Rudas et al. Journal of Clinical Monitoring and Computing, 2024. Cites: paper

A survey of deep causal models and their industrial applications
Zongyu Li, Zhenfeng Zhu, Xiaobo Guo et al. Artificial Intelligence Review, 2024. Cites: paper

Multimodal learning to predict breast cancer prognosis
Ndèye Maguette Mbaye. 2024. Cites: paper

Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database
Shengtian Mu, Dongli Yan, Jie Tang et al. Journal of Intensive Care Medicine, 2024. Cites: paper

Heart Pulse Transmission Parameters of Multi-Channel PPG Signals for Cuffless Estimation of Arterial Blood Pressure: Preliminary Study
Jiří Přibil, Anna Přibilová, Ivan Frollo. Electronics, 2024. Cites: paper

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