Publications citing PSG-IPA: A PolySomnoGraphic Inter-scorer Performance Assessment database v1.0.0

Manual Sleep Stage and Arousal Scoring Agreement between a Reduced Montage and Conventional Polysomnography in Adults with Obstructive Sleep Apnea
Megan McPhee, Kristófer Montazeri, Þóra Björg Sigmarsdóttir et al. Research Square, 2026. Cites: paper

The human sleep project: a multi-center clinical polysomnography dataset across the human lifespan
Qichen Li, Shenghan Wen, Haoqi Sun et al. SLEEP, 2026. Cites: paper

Toward Physiology-based Sleep Assessment: the Emerging Clinical Role of Advanced RIP Technology
Snorri Bjarkason, Eysteinn Finnsson, Sindri Sigþórsson et al. Current Pulmonology Reports, 2026. Cites: paper

Analysis of federated learning on non-independent and identically distributed sleep data
Adriana Anido-Alonso, Diego Álvarez-Estévez. Physiological Measurement, 2026. Cites: paper

Evaluation of Scoring Reliability in Polysomnography at a Single Sleep Center in Thailand
Nannaphat Saiborisut, Apiwat Pugongchai, Chatkarin Tepwimonpetkun et al. The Neurodiagnostic Journal, 2025. Cites: paper

Bewertung von KI-Algorithmen für die klinische PSG-Auswertung am Beispiel der Apnoe-Erkennung
Franz Ehrlich, Martin Sedlmayr, Miriam Goldammer. Somnologie - Schlafforschung und Schlafmedizin, 2025. Cites: paper

Multi-Task Deep-Learning for Sleep Event Detection and Stage Classification
Adriana Anido-Alonso, Diego Álvarez-Estévez. 2025. Cites: paper

Awakening Sleep Medicine: The Transformative Role of Artificial Intelligence in Sleep Health
Arjun N. Bhatt, Sohawm Sengupta, Ali Abolhassani et al. Current Sleep Medicine Reports, 2025. Cites: paper

Overview of Respiratory Sensor Solutions to Support Patient Diagnosis and Monitoring
Ilona Sylwia Karpiel, Maciej Mysiński, Kamil Olesz et al. Sensors, 2025. Cites: paper

Temporal and sleep stage‐dependent agreement in manual scoring of respiratory events
Minna Pitkänen, Henna Pitkänen, Rajdeep Kumar Nath et al. Journal of Sleep Research, 2024. Cites: paper

Retrospective validation of automatic sleep analysis with grey areas model for human‐in‐the‐loop scoring approach
Matias Rusanen, Gabriel Jouan, Riku Huttunen et al. Journal of Sleep Research, 2024. Cites: paper

An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight
Benedikt Holm, Gabriel Jouan, Emil Hardarson et al. Frontiers in Neuroinformatics, 2024. Cites: paper

Respiratory event index underestimates severity of sleep apnea compared to apnea-hypopnea index
Minna Pitkänen, Rajdeep Kumar Nath, Henri Korkalainen et al. SLEEP Advances, 2023. Cites: paper

Automatic Sleep Quality Analysis Using an Artificial Intelligence algorithm and EEG Signal Processing
Mohamed Touil, Lhoussain Bahatti, Abdelmounime El Magri. Journal of Artificial Intelligence and Technology, 2023. Cites: paper

Use of Deep Learning Techniques for Motor Events Detection in Polysomnographic Records
Inés Lloves-García, Diego Álvarez-Estévez. XoveTIC Conference (XoveTIC), 2023. Cites: paper

Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging
Adriana Anido-Alonso, Diego Álvarez-Estévez. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Challenges of Applying Automated Polysomnography Scoring at Scale
Diego Álvarez-Estévez. Sleep Medicine Clinics, 2023. Cites: paper

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