Literature DB >> 26390946

Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor.

E Sejdić1, A Millecamps2, J Teoli2, M A Rothfuss2, N G Franconi2, S Perera3, A K Jones2, J S Brach4, M H Mickle2.   

Abstract

Gait function is traditionally assessed using well-lit, unobstructed walkways with minimal distractions. In patients with subclinical physiological abnormalities, these conditions may not provide enough stress on their ability to adapt to walking. The introduction of challenging walking conditions in gait can induce responses in physiological systems in addition to the locomotor system. There is a need for a device that is capable of monitoring multiple physiological systems in various walking conditions. To address this need, an Android-based gait-monitoring device was developed that enabled the recording of a patient's physiological systems during walking. The gait-monitoring device was tested during self-regulated overground walking sessions of fifteen healthy subjects that included 6 females and 9 males aged 18-35 years. The gait-monitoring device measures the patient's stride interval, acceleration, electrocardiogram, skin conductance and respiratory rate. The data is stored on an Android phone and is analyzed offline through the extraction of features in the time, frequency and time-frequency domains. The analysis of the data depicted multisystem physiological interactions during overground walking in healthy subjects. These interactions included locomotion-electrodermal, locomotion-respiratory and cardiolocomotion couplings. The current results depicting strong interactions between the locomotion system and the other considered systems (i.e., electrodermal, respiratory and cardiovascular systems) warrant further investigation into multisystem interactions during walking, particularly in challenging walking conditions with older adults.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Electrocardiogram; Gait accelerometry signals; Gait monitoring; Respiratory rate; Skin conductance; Stride intervals

Mesh:

Year:  2015        PMID: 26390946      PMCID: PMC4648697          DOI: 10.1016/j.cmpb.2015.08.012

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  62 in total

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2.  Fear of falling modifies anticipatory postural control.

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4.  Acceleration patterns of the head and pelvis when walking on level and irregular surfaces.

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Journal:  Gait Posture       Date:  2003-08       Impact factor: 2.840

Review 5.  Autonomic nervous system activity in emotion: a review.

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Journal:  Biol Psychol       Date:  2010-04-04       Impact factor: 3.251

6.  The effect of gait speed and gender on perceived exertion, muscle activity, joint motion of lower extremity, ground reaction force and heart rate during normal walking.

Authors:  Min-Chi Chiu; Mao-Jiun Wang
Journal:  Gait Posture       Date:  2006-06-30       Impact factor: 2.840

7.  Evaluation of the autonomic response in healthy subjects during treadmill training with assistance of a robot-driven gait orthosis.

Authors:  Valentina Magagnin; Alberto Porta; Laura Fusini; Vittorio Licari; Ivano Bo; Maurizio Turiel; Franco Molteni; Sergio Cerutti; Enrico G Caiani
Journal:  Gait Posture       Date:  2009-01-10       Impact factor: 2.840

8.  The allocation of attention during locomotion is altered by anxiety.

Authors:  William H Gage; Ryan J Sleik; Melody A Polych; Nicole C McKenzie; Lesley A Brown
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9.  Sit-to-stand performance depends on sensation, speed, balance, and psychological status in addition to strength in older people.

Authors:  Stephen R Lord; Susan M Murray; Kirsten Chapman; Bridget Munro; Anne Tiedemann
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2002-08       Impact factor: 6.053

Review 10.  Fear of falling: measurement strategy, prevalence, risk factors and consequences among older persons.

Authors:  Alice C Scheffer; Marieke J Schuurmans; Nynke van Dijk; Truus van der Hooft; Sophia E de Rooij
Journal:  Age Ageing       Date:  2008-01       Impact factor: 10.668

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Review 2.  Review of researches on smartphone applications for physical activity promotion in healthy adults.

Authors:  Haemi Jee
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