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Cacioppo M, Lempereur M, Marin A, Rauscent H, Crétual A, Brochard S, Bonan I. Motor patterns of the impaired upper limb in children with unilateral cerebral palsy performing bimanual tasks. Clin Biomech (Bristol, Avon) 2022; 97:105710. [PMID: 35763887 DOI: 10.1016/j.clinbiomech.2022.105710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Upper limb movement patterns have not yet been identified in bimanual conditions despite the difficulties children with unilateral cerebral palsy have performing bimanual activities. The aim was to identify specific motor patterns from kinematic deviations during bimanual tasks in this population. METHODS Twenty children with unilateral cerebral palsy and 20 age-matched, typically developing children performed the five tasks of a 3D bimanual protocol. To evaluate upper limb kinematic deviations, 10 Arm Variable Scores were calculated for the affected /non-dominant upper limb of each participant for each task. Sparse K-means cluster analysis was applied to the 50 Arm Variable Scores of all the children to identify motor patterns and determining variables. Clinical tests of impairment (muscle strength, selectivity, spasticity) and function (Assisting hand assessment, Abilhand-Kids) were compared between the clusters obtained. FINDINGS Three different motor patterns were identified using the data from all the children: mild, proximal-distal and proximal-distal with trunk. The most important cluster determinants were the Arm Variable Scores for pronation-supination and wrist extension. In the cerebral palsy group, scores of impairments (p < .01) and function (Assisting Hand Assessment [p < .001] and Abilhand-Kids [p = .004]) differed for each motor pattern. Supination and wrist extension deviations differed significantly between the groups (p < .001). INTERPRETATION During performance of bimanual tasks, children with unilateral cerebral palsy used distinct motor patterns that each corresponded to a specific clinical profile. Elbow-wrist deviations were the largest and most decisive and were specific to the cerebral palsy group: they should be the target of interventions to enhance bimanual function. CLINICALTRIALS gov identifier: NCT03888443.
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Affiliation(s)
- Marine Cacioppo
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France; Laboratoire de Traitement de l'information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France; Pediatric Rehabilitation Department, Fondation ILDYS, 29200 Brest, France.
| | - Mathieu Lempereur
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France; Laboratoire de Traitement de l'information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
| | - Antoine Marin
- M2S laboratory (Mouvement Sport Santé), Rennes 2 University - ENS Rennes - UEB, Campus de Ker Lann, 35170 Bruz, France
| | - Hélène Rauscent
- Department of Physical Medicine and Rehabilitation, Rennes University Hospital, 35000 Rennes, France
| | - Armel Crétual
- M2S laboratory (Mouvement Sport Santé), Rennes 2 University - ENS Rennes - UEB, Campus de Ker Lann, 35170 Bruz, France
| | - Sylvain Brochard
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France; Laboratoire de Traitement de l'information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France; Pediatric Rehabilitation Department, Fondation ILDYS, 29200 Brest, France
| | - Isabelle Bonan
- Department of Physical Medicine and Rehabilitation, Rennes University Hospital, 35000 Rennes, France; Unité Empenn (ex-Visages) U1228 INSERM-INRIA, IRISA UMR CNRS 6074, Campus de Beaulieu, 35042 Rennes Cedex, France
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Campanini I, Merlo A, Disselhorst-Klug C, Mesin L, Muceli S, Merletti R. Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors. SENSORS (BASEL, SWITZERLAND) 2022; 22:4150. [PMID: 35684769 PMCID: PMC9185290 DOI: 10.3390/s22114150] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/20/2022] [Accepted: 05/26/2022] [Indexed: 06/15/2023]
Abstract
Surface electromyography (sEMG) has been the subject of thousands of scientific articles, but many barriers limit its clinical applications. Previous work has indicated that the lack of time, competence, training, and teaching is the main barrier to the clinical application of sEMG. This work follows up and presents a number of analogies, metaphors, and simulations using physical and mathematical models that provide tools for teaching sEMG detection by means of electrode pairs (1D signals) and electrode grids (2D and 3D signals). The basic mechanisms of sEMG generation are summarized and the features of the sensing system (electrode location, size, interelectrode distance, crosstalk, etc.) are illustrated (mostly by animations) with examples that teachers can use. The most common, as well as some potential, applications are illustrated in the areas of signal presentation, gait analysis, the optimal injection of botulinum toxin, neurorehabilitation, ergonomics, obstetrics, occupational medicine, and sport sciences. The work is primarily focused on correct sEMG detection and on crosstalk. Issues related to the clinical transfer of innovations are also discussed, as well as the need for training new clinical and/or technical operators in the field of sEMG.
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Affiliation(s)
- Isabella Campanini
- LAM-Motion Analysis Laboratory, Neuromotor and Rehabilitation Department, S. Sebastiano Hospital, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy; (I.C.); or (A.M.)
| | - Andrea Merlo
- LAM-Motion Analysis Laboratory, Neuromotor and Rehabilitation Department, S. Sebastiano Hospital, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy; (I.C.); or (A.M.)
- Merlo Bioengineering, 43121 Parma, Italy
| | - Catherine Disselhorst-Klug
- Department of Rehabilitation & Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074 Aachen, Germany;
| | - Luca Mesin
- Mathematical Biology and Physiology Group, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;
| | - Silvia Muceli
- Division of Signal Processing and Biomedical Engineering, Department of Electrical Engineering, Chalmers University of Technology, Hörsalsvägen 11, 41296 Gothenburg, Sweden;
| | - Roberto Merletti
- Laboratory for Engineering of the Neuromuscular System (LISiN), Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy
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Merlo A, Bò MC, Campanini I. Electrode Size and Placement for Surface EMG Bipolar Detection from the Brachioradialis Muscle: A Scoping Review. SENSORS 2021; 21:s21217322. [PMID: 34770627 PMCID: PMC8587451 DOI: 10.3390/s21217322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/28/2021] [Accepted: 11/01/2021] [Indexed: 11/19/2022]
Abstract
The brachioradialis muscle (BRD) is one of the main elbow flexors and is often assessed by surface electromyography (sEMG) in physiology, clinical, sports, ergonomics, and bioengineering applications. The reliability of the sEMG measurement strongly relies on the characteristics of the detection system used, because of possible crosstalk from the surrounding forearm muscles. We conducted a scoping review of the main databases to explore available guidelines of electrode placement on BRD and to map the electrode configurations used and authors’ awareness on the issues of crosstalk. One hundred and thirty-four studies were included in the review. The crosstalk was mentioned in 29 studies, although two studies only were specifically designed to assess it. One hundred and six studies (79%) did not even address the issue by generically placing the sensors above BRD, usually choosing large disposable ECG electrodes. The analysis of the literature highlights a general lack of awareness on the issues of crosstalk and the need for adequate training in the sEMG field. Three guidelines were found, whose recommendations have been compared and summarized to promote reliability in further studies. In particular, it is crucial to use miniaturized electrodes placed on a specific area over the muscle, especially when BRD activity is recorded for clinical applications.
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Affiliation(s)
- Andrea Merlo
- LAM-Motion Analysis Laboratory, S. Sebastiano Hospital, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy;
- Merlo Bioengineering, 43100 Parma, Italy;
| | | | - Isabella Campanini
- LAM-Motion Analysis Laboratory, S. Sebastiano Hospital, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy;
- Correspondence:
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da Silva TD, Fontes AMGG, de Oliveira-Furlan BS, Roque TT, Lima AII, de Souza BMM, Alberissi CADO, Silveira AC, de Moraes ÍAP, Collett J, Silva RP, Airoldi MJ, Ribeiro-Papa DC, Dawes H, Monteiro CBDM. Effect of Combined Therapy of Virtual Reality and Transcranial Direct Current Stimulation in Children and Adolescents With Cerebral Palsy: A Study Protocol for a Triple-Blinded Randomized Controlled Crossover Trial. Front Neurol 2020; 11:953. [PMID: 32982950 PMCID: PMC7492207 DOI: 10.3389/fneur.2020.00953] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 07/23/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Transcranial direct current stimulation (tDCS) and therapy-based virtual reality (VR) have been investigated separately. They have shown promise as efficient and engaging new tools in the neurological rehabilitation of individuals with cerebral palsy (CP). However, the recent literature encourages investigation of the combination of therapy tools in order to potentiate clinic effects and its mechanisms. Methods: A triple-blinded randomised sham-controlled crossover trial will be performed. Thirty-six individuals with gross motor function of levels I to IV (aged 4–14 years old) will be recruited. Individuals will be randomly assigned to Group A (active first) or S (sham first): Group A will start with ten sessions of active tDSC combined with VR tasks. After a 1-month washout, this group will be reallocated to another ten sessions with sham tDCS combined with VR tasks. In contrast, Group S will carry out the opposite protocol, starting with sham tDCS. For the active tDCS the protocol will use low frequency tDCS [intensity of 1 milliampere (mA)] over the primary cortex (M1) area on the dominant side of the brain. Clinical evaluations (reaction times and coincident timing through VR, functional scales: Abilhand-Kids, ACTIVLIM-CP, Paediatric Evaluation of Disability Inventory-PEDI- and heart rate variability-HRV) will be performed at baseline, during, and after active and sham tDCS. Conclusion: tDCS has produced positive results in treating individuals with CP; thus, its combination with new technologies shows promise as a potential mechanism for improving neurological functioning. The results of this study may provide new insights into motor rehabilitation, thereby contributing to the better use of combined tDCS and VR in people with CP. Trial Registration:ClinicalTrials.gov, NCT04044677. Registered on 05 August 2019.
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Affiliation(s)
- Talita Dias da Silva
- Programa de Pós-Graduação em Ciências da Reabilitação, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.,Departamento de Medicina (Cardiologia), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil.,Faculdade de Medicina, Universidade Cidade de São Paulo (UNICID), São Paulo, Brazil
| | | | - Barbara Soares de Oliveira-Furlan
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Tatiane Tedeschi Roque
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Ana Izabel Izidório Lima
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Bruna Mayara Magalhães de Souza
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Camila Aparecida de Oliveira Alberissi
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Ana Clara Silveira
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Íbis Ariana Peña de Moraes
- Programa de Pós-Graduação em Ciências da Reabilitação, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.,Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Johnny Collett
- Institute of Nursing and Allied Health Research, Oxford Brookes University, Oxford, United Kingdom.,Department of Clinical Neurology, University of Oxford, Oxford, United Kingdom
| | - Roger Pereira Silva
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Marina Junqueira Airoldi
- Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Denise Cardoso Ribeiro-Papa
- Departamento de Medicina (Cardiologia), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.,Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
| | - Helen Dawes
- Institute of Nursing and Allied Health Research, Oxford Brookes University, Oxford, United Kingdom.,Department of Clinical Neurology, University of Oxford, Oxford, United Kingdom
| | - Carlos Bandeira de Mello Monteiro
- Programa de Pós-Graduação em Ciências da Reabilitação, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.,Grupo de Pesquisa e Aplicações Tecnológicas em Reabilitação (PATER), Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH-USP), São Paulo, Brazil
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Detection of pronator muscle overactivity in children with unilateral spastic cerebral palsy: Development of a semi-automatic method using EMG data. Ann Phys Rehabil Med 2019; 62:409-417. [PMID: 31454560 DOI: 10.1016/j.rehab.2019.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 08/01/2019] [Accepted: 08/01/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND The pronator teres and pronator quadratus muscles are frequently injected with neuromuscular blocking agents to improve supination in children with spastic cerebral palsy and limited active elbow supination. However, determining by simple clinical examination whether these muscles are overactive during active movement is difficult. OBJECTIVE This study aimed to develop a semi-automatic method to detect pronator muscle overactivity by using surface electromyography (EMG) during active supination movements in children with cerebral palsy. METHODS In total, 25 children with unilateral spastic cerebral palsy (10 males; mean [SD] age 10.6 [3.0] years) and 12 typically developing children (7 males; mean age 11.0 [3.0] years) performed pronation-supination movements at 0.50Hz. Kinematic parameters and surface EMG signals were recorded for both pronator muscles. Three experts visually assessed muscle overactivity in the EMG signals of the children with cerebral palsy, in comparison with the reference group. The reliability and discrimination ability of the visual assessments were analysed. Overactivity detection thresholds for the semi-automatic method were adjusted by using the visual assessment by the EMG experts. The positive and negative predictive values of the semi-automatic detection method were calculated. RESULTS Intra-rater reliability of visual assessment by EMG experts was excellent and inter-rater reliability was moderate. For the 25 children with unilateral spastic cerebral palsy, EMG experts could discriminate different profiles of pronator overactivity during active supination: no pronator overactivity, one overactive pronator, or overactivity of both pronators. The positive and negative predictive values were 96% and 91%, respectively, for this semi-automatic detection method. CONCLUSIONS Detection of pronator overactivity by using surface EMG provides an important complement to the clinical examination. This method can be used clinically, with the condition that clinicians be aware of surface EMG limitations. We believe use of this method can increase the accuracy of treatment for muscle overactivity, resulting in improved motor function and no worsening of paresis.
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Roche N, Bonnyaud C, Reynaud V, Bensmail D, Pradon D, Esquenazi A. Motion analysis for the evaluation of muscle overactivity: A point of view. Ann Phys Rehabil Med 2019; 62:442-452. [PMID: 31276837 DOI: 10.1016/j.rehab.2019.06.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 06/04/2019] [Accepted: 06/10/2019] [Indexed: 11/15/2022]
Abstract
Muscle overactivity is a general term for pathological increases in muscle activity such as spasticity. It is caused by damage to the central nervous system at the cortical, subcortical or spinal levels, leading to an upper motor neuron syndrome. In routine clinical practice, muscle overactivity, which induces abnormal muscle tone, is usually evaluated by using the Modified Ashworth Scale or the Tardieu Scale. However, both of these scales involve testing in passive conditions that do not always reflect muscle activity during dynamic tasks such as gait or reaching. To determine appropriate treatment strategies, muscle overactivity should be evaluated by using objective measures in dynamic conditions. Instrumental motion analysis systems that include 3-D motion analysis and electromyography are very useful for this purpose. The method can be used to identify patterns of abnormal muscle activity that can be related to abnormal kinematic patterns. It allows for objective and accurate assessment of the effects of treatments to reduce muscle overactivity on the movement to be improved. The aim of this point-of-view article is to describe the utility of instrumental motion analysis and to outline both its numerous advantages in evaluating muscle overactivity and to present the current limitations for its use (e.g., cost, the need for an engineer, errors relating to marker placement and cross talk between electromyography sensors).
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Affiliation(s)
- N Roche
- U1179, service de physiologie et d'explorations fonctionnelles, Assistance publique des Hôpitaux de Paris, Raymond Poincaré Hospital, Garches, France.
| | - C Bonnyaud
- U1179, service de physiologie et d'explorations fonctionnelles, Assistance publique des Hôpitaux de Paris, Raymond Poincaré Hospital, Garches, France
| | - V Reynaud
- U1179, service de physiologie et d'explorations fonctionnelles, Assistance publique des Hôpitaux de Paris, Raymond Poincaré Hospital, Garches, France
| | - D Bensmail
- U1179, service de physiologie et d'explorations fonctionnelles, Assistance publique des Hôpitaux de Paris, Raymond Poincaré Hospital, Garches, France
| | - D Pradon
- U1179, service de physiologie et d'explorations fonctionnelles, Assistance publique des Hôpitaux de Paris, Raymond Poincaré Hospital, Garches, France
| | - A Esquenazi
- Gait and Motion Analysis Laboratory, Department of Physical Medicine and Rehabilitation, MossRehab, Elkins Park, PA, USA
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