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Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops.

• Authors : Yang PK; eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium. .; Intelligent Mobile Platforms Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium. .

Subjects: Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/complications ; Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/drug therapy ; Parkinson Disease*/Parkinson Disease*/Parkinson Disease*/diagnosis

• Source: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2024 Feb 13; Vol. 21 (1), pp. 24. Date of Electronic Publication: 2024 Feb 13.Publisher: BioMed Central Country of Publication: England NLM ID: 101232233 Publication Model: Electronic Cited Medium: Internet ISSN: 1743-0003

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Estimation of Lower Limb Joint Angles and Joint Moments during Different Locomotive Activities Using the Inertial Measurement Units and a Hybrid Deep Learning Model.

• Authors : Wang F; Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.; Liang W

Subjects: Deep Learning*; Humans ; Lower Extremity

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Nov 08; Vol. 23 (22). Date of Electronic Publication: 2023 Nov 08.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation and Motion Dynamics Leveraging IMU-Only Wearables for Home-Based Shoulder Rehabilitation

• Authors : Bai, Aoyang¹ (AUTHOR); Song, Hongyun² (AUTHOR); Wu, Yan^1,2 (AUTHOR)

• Source: Sensors (14248220). Feb2025, Vol. 25 Issue 4, p1275. 29p.

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Vision Transformer-Based Anomaly Detection in Smart Grid Phasor Measurement Units Using Deep Learning Models

• Authors : Zhibin Liu; Yibo Wang; Qingwei Wang

Subjects: Smart grid; phasor measurement unit (PMU); anomaly detection

• Source: IEEE Access, Vol 13, Pp 44565-44576 (2025)

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Classification of mild Parkinson's disease: data augmentation of time-series gait data obtained via inertial measurement units.

• Authors : Uchitomi, Hirotaka¹ (AUTHOR) ; Ming, Xianwen² (AUTHOR); Zhao, Changyu¹ (AUTHOR)

• Source: Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-14. 14p.

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Fall Risk Classification Using Trunk Movement Patterns from Inertial Measurement Units and Mini-BESTest in Community-Dwelling Older Adults: A Deep Learning Approach

• Authors : Diego Robles Cruz; Sebastián Puebla Quiñones; Andrea Lira Belmar

Subjects: Technology; Mini-BESTest; QH301-705.5

• Source: Applied Sciences, Vol 14, Iss 20, p 9170 (2024)

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An effective swimming stroke recognition system utilizing deep learning based on inertial measurement units.

• Authors : Chen, Longwen¹ (AUTHOR); Hu, Dean¹ (AUTHOR)

• Source: Advanced Robotics. Apr2023, Vol. 37 Issue 7, p467-479. 13p.

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Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation.

• Authors : Liang, Wenqi¹ (AUTHOR); Wang, Fanjie¹ (AUTHOR); Fan, Ao¹ (AUTHOR)

• Source: Sensors (14248220). May2023, Vol. 23 Issue 9, p4229. 26p.

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Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units

• Authors : Hammad Tanveer Butt; Bertram Taetz; Mathias Musahl

Subjects: magnetic inertial measurement unit (MIMU); uncertainty estimation; 0202 electrical engineering, electronic engineering, information engineering

• Source: IEEE Access, Vol 9, Pp 36657-36673 (2021)

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A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors.

• Authors : Palazzo L; Bioengineering Unit of Bari, Istituti Clinici Scientifici Maugeri IRCCS, Via Generale Bellomo, 73/75, 70124 Bari, Italy.; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via E. Orabona, 4, 70125 Bari, Italy.

Subjects: Deep Learning* ; Gait*/Gait*/Gait*/physiology ; Gait Disorders, Neurologic*/Gait Disorders, Neurologic*/Gait Disorders, Neurologic*/diagnosis

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Jan 05; Vol. 25 (1). Date of Electronic Publication: 2025 Jan 05.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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