IEEE CBMI 2026 ยท Conference Presentation

Multimodal Sleep Analytics for Athlete Performance: Chronotype Clustering, Readiness Prediction, and Anomaly Detection in Elite Female Football

Michael A. Riegler, Dag Johansen, Pรฅl Halvorsen

Presented by Sushant Gautam ยท Simula Metropolitan Center for Digital Engineering


๐Ÿ—“๏ธ Conference
IEEE CBMI 2026
October 2026
๐Ÿ“ Location
Rempart Building
Toulouse, France
๐ŸŽค Presentation
Friday, October 23, 2026
10:53โ€“11:00

Session: Regular session 4 (10:30โ€“11:00) ยท Amphitheater

Conference program: cbmi2026.sciencesconf.org/program/details

๐Ÿงฌ CBMI 2026 Website

๐Ÿ“„ Presentation Slides

๐Ÿ”ฌ Dataset & Code

๐Ÿ˜ด REST Dataset

Elite Female Football Athletes Dataset and Analysis Tools

17 days of wrist actigraphy, well-being questionnaires, caffeine consumption, screen time and daily hand-strength tests from 21 elite female football athletes. The repository contains sleep detection algorithms, preprocessing scripts, technical validation, and transfer-learning inference with an LSTM trained on MESA.


Resources