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Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

• Authors : Kirk C.; Kuderle A.; Mico-Amigo M. E. ...

Subjects: Mobilise-D; real-world; walking

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DISPEL: A Python Framework for Developing Measures From Digital Health Technologies

• Authors : Scotland, A.; Cosne, G.; Juraver, A. ...

• Source: IEEE Open Journal of Engineering in Medicine and Biology ; volume 5, page 494-497 ; ISSN 2644-1276

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Real-world gait detection using a wrist-worn inertial sensor: validation study

• Authors : Kluge, F.; Brand, Y.E.; Micó-Amigo, M.E.

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Work-Related Stress Questionnaire: confirmatory factor analysis for construct validation by the PHRASI study

• Authors : Cedrone, F; Stacchini, L; La Torre, G ...

Subjects: Occupational medicine; Phrasy study; Risk assessment

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Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation

• Authors : Henson, W.H.; Li, X.; Lin, Z. ...

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Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

• Authors : Kirk, C.; Küderle, A.; Micó-Amigo, M.E.

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On Gait Consistency Quantification Through ARX Residual Modeling and Kernel Two-Sample Testing

• Authors : Stihi, A.; Rogers, T. J.; Mazzà, C.

• Source: IEEE Transactions on Biomedical Engineering ; volume 71, issue 3, page 720-731 ; ISSN 0018-9294 1558-2531

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Laboratory and free-living gait performance in adults with COPD and healthy controls

• Authors : Buekers J.; Megaritis D.; Koch S. ...

Subjects: free-living; gait; COPD

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Emotionswahrnehmung für Fahrradsicherheit und Mobilitätskomfort Analyse von humansensorischen Messungen und Korrelation mit Umgebungsparametern = Emotion Sensing for Bicycle Safety and Mobility Comfort Analysis of Human Sensor Measurements and Correlations with Contextual Parameters

• Authors : Motzer, N.; Zeile, Peter; Resch, B.

Subjects: Emotionswahrnehmung; Humansensorik; Fahrradsicherheit

• Source: AGIT, 9, 142-149 ; ISSN: 2364-9283, 2509-713X

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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

• Authors : Romijnders, R.; Salis, F.; Hansen, C.

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