Literature DB >> 27411232

Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement.

Jiaqi Gong, Yanjun Qi, Myla D Goldman, John Lach.   

Abstract

Inertial body sensors have emerged in recent years as an effective tool for evaluating mobility impairment resulting from various diseases, disorders, and injuries. For example, body sensors have been used in 6-min walk (6 MW) tests for multiple sclerosis (MS) patients to identify gait features useful in the study, diagnosis, and tracking of the disease. However, most studies to date have focused on features localized to the lower or upper extremities and do not provide a holistic assessment of mobility. This paper presents a causality analysis method focused on the coordination between extremities to identify subtle whole-body mobility impairment that may aid disease diagnosis. This method was developed for and utilized in an MS pilot study with 41 subjects (28 persons with MS (PwMS) and 13 healthy controls) performing 6 MW tests. Compared with existing methods, the causality analysis provided better discrimination between healthy controls and PwMS and a deeper understanding of MS disease impact on mobility.

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Year:  2016        PMID: 27411232     DOI: 10.1109/JBHI.2016.2589902

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  5 in total

1.  Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

Authors:  Sriram Raju Dandu; Matthew M Engelhard; Asma Qureshi; Jiaqi Gong; John C Lach; Maite Brandt-Pearce; Myla D Goldman
Journal:  IEEE J Biomed Health Inform       Date:  2018-01       Impact factor: 5.772

Review 2.  A Systematic Review of Wearable Sensors for Monitoring Physical Activity.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

3.  Wearable Inertial Sensors to Assess Gait during the 6-Minute Walk Test: A Systematic Review.

Authors:  Fabio Alexander Storm; Ambra Cesareo; Gianluigi Reni; Emilia Biffi
Journal:  Sensors (Basel)       Date:  2020-05-06       Impact factor: 3.576

4.  Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds.

Authors:  Charlotte Werner; Chris Awai Easthope; Armin Curt; László Demkó
Journal:  Sensors (Basel)       Date:  2021-11-06       Impact factor: 3.576

5.  A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2020-03-09       Impact factor: 3.576

  5 in total

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