Espen Alexander F. Ihlen

Associate Professor

Department of Neuromedicine and Movement Science Faculty of Medicine and Health Sciences

espen.ihlen@ntnu.no +47 47354674

Bevegelsessenteret, Øya

espen.ihlen@ntnu.no

Bakgrunn og aktiviteter

Espen A. F. Ihlen is associate Professor at Department of Neuromedicine and Human Movement Science (INB). He has background in Human Movement Science, Informatics, Mathematics, and Physics. His main interest is application of machine learning and artificial intelligence (AI) in clinical movement analysis.

Education

Bachelor in Human Movement Science (1999-2003)
Master in Human Movement Science (2003-2007)
PhD in clinical medicine (2009-2014)

Research

Signalprocessing of human movement and activity data
Machine learning used in prediction models and risk assessments of movement related problems
Non-linear time series analyses focusing on:
Hilbert spectral analyses
Wavelet analyses and decompositions
Multifractal analyses
Multiplicative cascading processes
Lyapunov stability
Fractional stability
Application of analyses and models to movements of older adults and infants at risk of motor disorders

Projects

DeepInMotion: Explainable artificial intelligent system to discover new infant movement biomarkers for early detection of disease (project period 2021-2025)
PROMISE: Early diagnosis and intervention in infants at risk of motor disability

Teaching assignments

Introduction to signal processing in Matlab (BEV3201)
Biomechanics (BEV2005)
Measurement of physical activity (BEV2101)

Courses

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

Journal publications

Groos, Daniel; Adde, Lars; Aubert, Sindre Aarnes; Boswell, Lynn; De Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Haukeland, Andreas; Loennecken, Marianne; Msall, Michael; Moinichen, Unn Inger; Pascal, Aurelie; Peyton, Colleen; Ramampiaro, Heri; Schreiber, Michael D.; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Thomas, Niranjan; van den Broeck, Christine; Øberg, Gunn Kristin; Ihlen, Espen Alexander F.; Støen, Ragnhild. (2022) Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk. JAMA Network Open. vol. 5 (7).
Groos, Daniel; Adde, Lars; Støen, Ragnhild; Ramampiaro, Heri; Ihlen, Espen Alexander F.. (2022) Towards human-level performance on automatic pose estimation of infant spontaneous movements. Computerized Medical Imaging and Graphics. vol. 95.
Adde, Lars; Brown, Annemette; van den Broeck, Christine; DeCoen, Kris; Eriksen, Beate Horsberg; Fjørtoft, Toril Larsson; Groos, Daniel; Ihlen, Espen Alexander F.; Osland, Siril; Pascal, Aurelie; Paulsen, Henriette; Skog, Ole-Morten; Sivertsen, Wiebke; Støen, Ragnhild. (2021) In-Motion-App for remote General Movement Assessment: a multi-site observational study. BMJ Open. vol. 11 (3).
Awais, Muhammad; Chiari, Lorenzo; Ihlen, Espen Alexander F.; Helbostad, Jorunn L.; Palmerini, Luca. (2021) Classical machine learning versus deep learning for the older adults free-living activity classification. Sensors. vol. 21 (14).
Elfmark, Ola; Ettema, Gertjan; Groos, Daniel; Ihlen, Espen Alexander F.; Velta, Rune; Haugen, Per; Bråten, Steinar; Gilgien, Matthias. (2021) Performance analysis in ski jumping with a differential global navigation satellite system and video-based pose estimation. Sensors. vol. 21 (16).
Goihl, Tobias; Ihlen, Espen Alexander F.; Bardal, Ellen Marie; Ustad, Astrid; Roeleveld, Karin; Brændvik, Siri Merete. (2021) Effects of Ankle-Foot Orthoses on acceleration and energy cost of walking in children and adolescents with cerebral palsy. Prosthetics and orthotics international. vol. 45 (6).
Groos, Daniel; Adde, Lars; Aubert, Sindre Aarnes; Haukeland, Andreas; Ramampiaro, Heri; Støen, Ragnhild; Ihlen, Espen Alexander F.. (2021) Fully automated clinical movement analysis from videos using skeleton-based deep learning. Gait & Posture. vol. 90.
Groos, Daniel; Adde, Lars; Støen, Ragnhild; Ramampiaro, Heri; Ihlen, Espen Alexander F.. (2021) New automatic, efﬁcient, and highly precise tracking of infant spontaneous movements. Developmental Medicine & Child Neurology. vol. 63.
Bergquist, Ronny; Nerz, Corinna; Taraldsen, Kristin; Mellone, Sabato; Ihlen, Espen Alexander F.; Vereijken, Beatrix; Helbostad, Jorunn L.; Becker, Clemens; Mikolaizak, A. Stefanie. (2020) Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test. Sensors. vol. 20 (17).
Groos, Daniel; Adde, Lars; Ihlen, Espen Alexander F.. (2020) Approaching human precision on automatic markerless tracking of human movements. Gait & Posture. vol. 81.
Groos, Daniel; Ramampiaro, Heri; Ihlen, Espen Alexander F.. (2020) EfficientPose: Scalable single-person pose estimation. Applied intelligence (Boston).
Awais, Muhammad; Chiari, Lorenzo; Ihlen, Espen Alexander F.; Helbostad, Jorunn L.; Palmerini, Luca. (2019) Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE journal of biomedical and health informatics. vol. 23 (1).
Groos, Daniel; Aurlien, Kristian; Ramampiaro, Heri; Ihlen, Espen Alexander F.; deRegnier, RA; Peyton, Colleen; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Thomas, Niranjan; Adde, Lars. (2019) Deep Learning‐based infant motion tracking facilitating early detection of cerebral palsy. Developmental Medicine & Child Neurology. vol. 61.
Ihlen, Espen Alexander F.; Støen, Ragnhild; Boswell, Lynn; de-Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Labori, Inger Cathrine; Loennecken, Marianne; Msall, Michael E.; Møinichen, Unn Inger; Peyton, Colleen; Schreiber, Michael D.; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Vågen, Randi Tynes; Øberg, Gunn Kristin; Adde, Lars. (2019) Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study. Journal of Clinical Medicine. vol. 9 (1).
Støen, Ragnhild; Boswell, Lynn; De Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Ihlen, Espen Alexander F.; Labori, Cathrine; Loennecken, Marianne; Msall, Michael E.; Møinichen, Unn Inger; Peyton, Colleen; Russow, Annamarie; Schreiber, Michael D.; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Vågen, Randi Tynes; Øberg, Gunn Kristin; Adde, Lars. (2019) The predictive accuracy of the general movement assessment for cerebral palsy: A prospective, observational study of high-risk infants in a clinical follow-up setting. Journal of Clinical Medicine. vol. 8 (11).
Adde, Lars; Yang, Hong; Sæther, Rannei; Jensenius, Alexander Refsum; Ihlen, Espen Alexander F.; Cao, Jia-yan; Støen, Ragnhild. (2018) Characteristics of general movements in preterm infants assessed by computer-based video analysis. Physiotherapy Theory and Practice. vol. 34 (4).
Bourke, Alan; Ihlen, Espen Alexander F.; Helbostad, Jorunn L.. (2018) Development of a gold-standard method for the identification of sedentary, light and moderate physical activities in older adults: Definitions for video annotation. Journal of Science and Medicine in Sport.
Ihlen, Espen Alexander F.; Schooten, K S; Bruijn, S M; Dieën, J H; Vereijken, Beatrix; Helbostad, Jorunn L.; Pijnappels, Mirjam. (2018) Improved prediction of falls in community-dwelling older adults through phase-dependent entropy of daily-life walking. Frontiers in Aging Neuroscience. vol. 10.
Bourke, Alan; Ihlen, Espen Alexander F.; Bergquist, Ronny; Wik, Per Bendik; Vereijken, Beatrix; Helbostad, Jorunn L.. (2017) A physical activity reference data-set recorded from older adults using body-worn inertial sensors and video Technology - The ADAPT study data-set. Sensors. vol. 17 (3).
Ihlen, Espen Alexander F.; van Schooten, Kimberley S; Bruijn, Sjoerd M; Pijnappels, Mirjam; van Dieen, Jaap H. (2017) Fractional stability of trunk acceleration dynamics of daily-life walking: toward a unified concept of gait stability. Frontiers in Physiology. vol. 8.

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