Carlo Frigo1, Paolo Crenna. 1. Politecnico di Milano, Laboratory of Motor Control and Movement Biomechanics, TBM Lab, Department of Bioengineering, Polytechnic of Milan, via Golgi 39, Milan, Italy. carlo.frigo@biomed.polimi.it
Abstract
BACKGROUND: Application of surface electromyography (SEMG) to the clinical evaluation of neuromuscular disorders can provide relevant "diagnostic" contributions in terms of nosological classification, localization of focal impairments, detection of pathophysiological mechanisms, and functional assessment. METHODS: The present review article elaborates on: (i) the technical aspects of the myoelectric signals acquisition within a protocol of clinical gait analysis (multichannel recording, surface vs. deep probes, electrode placing, encumbrance effects), (ii) the sequence of procedures for the subsequent data processing (filtering, averaging, normalization, repeatability control), and (iii) a set of feasible strategies for the final extraction of clinically useful information. FINDINGS: Relevant examples of SEMG application to functional diagnosis are provided. INTERPRETATION: Emphasis is given to the key role of SEMG along with kinematic and kinetic analysis, for non-invasive assessment of relevant pathophysiological mechanisms potentially hindering the gait function, such as changes in passive muscle-tendon properties (peripheral non-neural component), paresis, spasticity, and loss of selectivity of motor output in functionally antagonist muscles.
BACKGROUND: Application of surface electromyography (SEMG) to the clinical evaluation of neuromuscular disorders can provide relevant "diagnostic" contributions in terms of nosological classification, localization of focal impairments, detection of pathophysiological mechanisms, and functional assessment. METHODS: The present review article elaborates on: (i) the technical aspects of the myoelectric signals acquisition within a protocol of clinical gait analysis (multichannel recording, surface vs. deep probes, electrode placing, encumbrance effects), (ii) the sequence of procedures for the subsequent data processing (filtering, averaging, normalization, repeatability control), and (iii) a set of feasible strategies for the final extraction of clinically useful information. FINDINGS: Relevant examples of SEMG application to functional diagnosis are provided. INTERPRETATION: Emphasis is given to the key role of SEMG along with kinematic and kinetic analysis, for non-invasive assessment of relevant pathophysiological mechanisms potentially hindering the gait function, such as changes in passive muscle-tendon properties (peripheral non-neural component), paresis, spasticity, and loss of selectivity of motor output in functionally antagonist muscles.
Authors: Laura A Prosser; Samuel C K Lee; Mary F Barbe; Ann F VanSant; Richard T Lauer Journal: J Electromyogr Kinesiol Date: 2010-05-15 Impact factor: 2.368
Authors: Julien Lebleu; Ross Parry; Camille Bertouille; Marine de Schaetzen; Philippe Mahaudens; Laura Wallard; Christine Detrembleur Journal: Physiother Can Date: 2021 Impact factor: 1.039
Authors: Yohanna MejiaCruz; Jean Franco; Garret Hainline; Stacy Fritz; Zhaoshuo Jiang; Juan M Caicedo; Benjamin Davis; Victor Hirth Journal: Curr Geriatr Rep Date: 2021-01-20
Authors: Julie S Jacobsen; Uwe G Kersting; Michael S Rathleff; Ole Simonsen; Kjeld Søballe; Michael Ulrich Journal: BMC Musculoskelet Disord Date: 2013-07-19 Impact factor: 2.362