Espen Alexander Furst Ihlen

Espen Alexander Furst Ihlen is an Associate Professor at the Department of Neuromedicine and Human Movement Science (INB), Norwegian University of Science and Technology (NTNU). His research focuses on the application of machine learning and artificial intelligence in clinical movement analysis, with particular emphasis on non-linear time series analyses (Hilbert spectral analyses, wavelet decompositions, multifractal analyses) and fractional stability of movement data. He leads the DeepInMotion project (2021-2025) for explainable AI in infant movement biomarker discovery and contributes to the PROMISE project on early cerebral palsy diagnosis.

• Bachelor in Human Movement Science (1999-2003)
• Master in Human Movement Science (2003-2007)
• PhD in Clinical Medicine (2009-2014)

His publications (2025-2009) demonstrate consistent work in infant movement tracking for cerebral palsy prediction, elderly activity classification using wearable sensors, and phase-dependent gait stability research. Recent articles (2025-2024) focus on explainable AI methods and neural architecture search for clinical applications. Earlier works include ski jumping performance analysis and hip fracture gait assessment.

Teaching assignments include Biomechanics (BEV2005), Measurement of Physical Activity (BEV2101), and Signal Processing in Matlab (BEV3201). Affiliated with the Bevegelsessenteret (Movement Analysis Center) on clinical movement analysis and software development.