Helmet–Head Decoupling in Ice Hockey Impacts: An In-lab Exploratory Study Using Autoregressive Modeling of Acceleration Data Measured from a Helmet-Mounted Inertial Measurement Unit (IMU)
Sign Up to like & getrecommendations! Published in 2025 at "Annals of Biomedical Engineering"
DOI: 10.1007/s10439-025-03848-2
Abstract: This study aims to develop and validate in-lab a novel approach for estimating head linear acceleration in ice hockey impacts using IMU-instrumented helmets. The use of AutoRegressive (AR) modeling was investigated as a solution to… read more here.
Keywords: autoregressive modeling; ice hockey; hockey impacts; helmet ... See more keywords
Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution
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DOI: 10.1109/access.2019.2908189
Abstract: The conventional autoregressive (AR) model has been widely applied in the various electroencephalogram (EEG) analyses such as spectrum estimation, waveform fittings, and in classification tasks. Nevertheless, evoked EEG is usually inevitably contaminated by multiple background… read more here.
Keywords: modeling via; sparse autoregressive; penalized solution; autoregressive modeling ... See more keywords
Autoregressive Modeling as Diagnostic Tool to Identify Postanterior Cruciate Ligament Reconstruction Limb Asymmetry.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of applied biomechanics"
DOI: 10.1123/jab.2018-0414
Abstract: Between-limb deficits in vertical ground reaction force (vGRF) production continue to remain years after anterior cruciate ligament rehabilitation, resulting in altered dynamic stability. However, the challenge is in identifying ways to assess this between-limb stability.… read more here.
Keywords: dynamic stability; ligament reconstruction; stability; cruciate ligament ... See more keywords