6 Hits in 6.0 sec

Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data

Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2019 Proceedings of the 23rd International Symposium on Wearable Computers - ISWC '19  
In this paper, as a first step, we investigate automatic detection of protective behavior (movement behavior due to pain-related fear or pain) based on wearable motion capture and electromyography sensor  ...  In chronic pain physical rehabilitation, physiotherapists adapt exercise sessions according to the movement behavior of patients.  ...  Network based Automatic Detection of Chronic Pain Protective Behavior using MoCap and sEMG data ISWC'19, September, 2019, London, UK seconds with overlapping ratio of 75%.  ... 
doi:10.1145/3341163.3347728 dblp:conf/huc/WangOMWLB19 fatcat:2dlgtcjbwzajdb43mjrrctd52i

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection [article]

Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. De C. Williams, Nadia Bianchi-Berthouze
2019 arXiv   pre-print
Using the EmoPain MoCap dataset, we investigate how attention-based DL architectures can be used to improve the detection of protective behavior by capturing the most informative temporal and body configurational  ...  For people with chronic pain, the assessment of protective behavior during physical functioning is essential to understand their subjective pain-related experiences (e.g., fear and anxiety toward pain  ...  Their study suggests the applicability of LSTM networks to the detection of protective behavior, based on motion capture and sEMG data.  ... 
arXiv:1904.10824v3 fatcat:fm3ryzr3xvfzjjy6faixgjuyra

Chronic-Pain Protective Behavior Detection with Deep Learning [article]

Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2020 arXiv   pre-print
In this paper, we investigate the use of deep learning to detect protective behavior across activity types, using wearable motion capture and surface electromyography data collected from healthy participants  ...  In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential  ...  We explore the use of recurrent network with Long Short-Term Memory (LSTM) layers for the detection of protective behavior in frames of multiple activities, based on the IMUs and sEMG data.  ... 
arXiv:1902.08990v3 fatcat:gay3udzddrgsta6l2zug5pc7ge

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data [article]

Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2021 arXiv   pre-print
Protective behavior exhibited by people with chronic pain (CP) during physical activities is the key to understanding their physical and emotional states.  ...  of protective behavior.  ...  People with chronic musculoskeletal pain (a common type of chronic pain) exhibit protective behavior (guarding, hesitation, the use of support, abrupt motion and rubbing) during physical activity [33]  ... 
arXiv:2011.01776v4 fatcat:wnbvzosxabcglamep5szld4mcu

Proceedings SIAMOC 2019

Rita Stagni, Lorenzo Chiari, Silvia Fantozzi, Sabato Mellone, Maria Cristina Bisi
Research, Technological Development and Innovation".  ...  ARTIFICIAL NEURAL NETWORKS FOR STAGING THE GAIT DEFICIT IN PARKINSON DISEASE ACKNOWLEDGMENT The DoMoMEA Project is funded by Sardegna Ricerche with POR FESR 2014/2020 funds, Priority Axis I "Scientific  ...  IDENTIFICATION THROUGH MOVEMENT ANALYSIS OF CHRONIC LOW BACK PAIN PATHOLOGICAL SPINAL INTRODUCTION Chronic low back pain (CLBP) is a bio-psycho-social syndrome.  ... 
doi:10.6092/unibo/amsacta/6260 fatcat:jgvyuuglhbaspgh7pvpnevb3om

Book of Abstracts Symposium President Board of Directors Editors

Alberto Leardini, Vincenzo Parenti-Castelli, Ugo Della, Croce, Rita Stagni, Andrea Cutti, Alberto Leardini, Rita Stagni
2012 XII International Symposium on 3D Analysis of Human Movement Technology & Treatment Bologna (Italy)   unpublished
The aim of the present study was to collect longitudinally data from a large group of infants (>20) using inertial sensors over a 6-months period after the onset of independent walking.  ...  Since there is not a commonly accepted way to define or quantify locomotor stability, the collected data will permit also to apply and evaluate the stability indexes proposed in literature, looking for  ...  ACKNOWLEDGMENT This study was funded and supported by the University of Michigan Center for Occupational Health and Safety Engineering, the National Institute for Occupational Safety and Health, and the  ...