Cited by

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments (v1.0.0)

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7 publications cite any version of this project, newest first.

• SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals
  Fangke Chen, Sirry Chen, Wei Chen et al. arXiv (Cornell University), 2026.
• Automated analysis of wearable ECG: machine learning methods, preprocessing pipelines, and benchmark datasets
  Bartosz Puszkarski. Physiological Measurement, 2026.
• LLM research on public biosignals data is needed to protect patients
  James Anibal, Jasmine Gunkel, Hannah B. Huth et al. npj Digital Medicine, 2026.
• AI-DRIVEN WEARABLE TECHNOLOGY FOR ROUTINE MONITORING IN ELDERLY WITH DEMENTIA
  Mariana da Costa Carvalho. CiencIPCA, 2026.
• Δ.72 Phase-Locking Analysis — Biological Time Alignment
  Hensgen, Allison. Zenodo (CERN European Organization for Nuclear Research), 2025.
• Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram
  Aleksandar Lazović, Vladimir A. Atanasoski, Predrag R. Tadic et al. Scientific Data, 2025.
• Wearable sensors-based assistive technologies for patient health monitoring
  Nouf Abdullah Almujally, Danyal Khan, Naif Al Mudawi et al. Frontiers in Bioengineering and Biotechnology, 2025.

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.