Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care

被引:12
|
作者
Steele, Katherine M. [1 ]
Papazian, Christina [1 ]
Feldner, Heather A. [2 ]
机构
[1] Univ Washington, Dept Mech Engn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Rehabil Med, Seattle, WA 98195 USA
来源
FRONTIERS IN NEUROLOGY | 2020年 / 11卷
基金
美国国家卫生研究院;
关键词
electromyography; translation; stroke; arm; paralysis; data visualization; FUGL-MEYER ASSESSMENT; UPPER EXTREMITY; MOTOR RECOVERY; EMG; CLASSIFICATION; RELIABILITY; REHABILITATION; BIOFEEDBACK; PLASTICITY; STANDARDS;
D O I
10.3389/fneur.2020.576757
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
After a stroke, clinicians and patients struggle to determine if and when muscle activity and movement will return. Surface electromyography (EMG) provides a non-invasive window into the nervous system that can be used to monitor muscle activity, but is rarely used in acute care. In this perspective paper, we share our experiences deploying EMG in the clinic to monitor stroke survivors. Our experiences have demonstrated that deploying EMG in acute care is both feasible and useful. We found that current technology can be used to comfortably and non-obtrusively monitor muscle activity, even for patients with no detectable muscle activity by traditional clinical assessments. Monitoring with EMG may help clinicians quantify muscle activity, track recovery, and inform rehabilitation. With further research, we perceive opportunities in using EMG to inform prognosis, enable biofeedback training, and provide metrics necessary for supporting and justifying care. To leverage these opportunities, we have identified important technical challenges and clinical barriers that need to be addressed. Affordable wireless EMG system that can provide high-quality data with comfortable, secure interfaces that can be worn for extended periods are needed. Data from these systems need to be quickly and automatically processed to create round-ready results that can be easily interpreted and used by the clinical team. We believe these challenges can be addressed by integrating and improving current methods and technology. Deploying EMG in the clinic can open new pathways to understanding and improving muscle activity and recovery for individuals with neurologic injury in acute care and beyond.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Electromyography Recordings Detect Muscle Activity Before Observable Contractions in Acute Stroke Care
    Papazian, Christina
    Baicoianu, Nick A.
    Peters, Keshia M.
    Feldner, Heather A.
    Steele, Katherine M.
    ARCHIVES OF REHABILITATION RESEARCH AND CLINICAL TRANSLATION, 2021, 3 (03)
  • [2] Evaluation of pharyngeal muscle activity through nasopharyngeal surface electromyography in a cohort of dysphagic patients with acute ischaemic stroke
    Giannantoni, N. M.
    Minisci, M.
    Brunetti, V.
    Scarano, E.
    Testani, E.
    Vollono, C.
    De Corso, E.
    Bastanza, G.
    D'Alatri, L.
    Della Marca, G.
    Acta Otorhinolaryngologica Italica, 2016, 36 (04) : 295 - 299
  • [3] Use of Surface Electromyography to Measure Muscle Fatigue in Patients in an Acute Care Hospital
    Skrzat, Julie M.
    Carp, Stephen J.
    Dai, Ting
    Lauer, Richard
    Hiremath, Shivayogi, V
    Gaeckle, Nathaniel
    Tucker, Carole A.
    PHYSICAL THERAPY, 2020, 100 (06): : 897 - 906
  • [4] Clinical Use of Surface Electromyography to Track Acute Upper Extremity Muscle Recovery after Stroke: A Descriptive Case Study of a Single Patient
    Feldner, Heather A.
    Papazian, Christina
    Peters, Keshia M.
    Creutzfeldt, Claire J.
    Steele, Katherine M.
    APPLIED SYSTEM INNOVATION, 2021, 4 (02)
  • [5] Changes in shoulder muscle activity pattern on surface electromyography after breast cancer surgery
    Yang, Eun Joo
    Kwon, YoungOk
    JOURNAL OF SURGICAL ONCOLOGY, 2018, 117 (02) : 116 - 123
  • [6] Brachialis muscle activity can be assessed with surface electromyography
    Staudenmann, Didier
    Taube, Wolfgang
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2015, 25 (02) : 199 - 204
  • [7] A Review of Devices for Detection of Muscle Activity by Surface Electromyography
    Eliseichev, E. A.
    Mikhailov, V. V.
    Borovitskiy, I., V
    Zhilin, R. M.
    Senatorova, E. O.
    BIOMEDICAL ENGINEERING-MEDITSINSKAYA TEKNIKA, 2022, 56 (01): : 69 - 74
  • [8] Use of surface electromyography to estimate neck muscle activity
    Sommerich, CM
    Joines, SMB
    Hermans, V
    Moon, SD
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2000, 10 (06) : 377 - 398
  • [9] A Review of Devices for Detection of Muscle Activity by Surface Electromyography
    E. A. Eliseichev
    V. V. Mikhailov
    I. V. Borovitskiy
    R. M. Zhilin
    E. O. Senatorova
    Biomedical Engineering, 2022, 56 : 69 - 74
  • [10] Surface Electromyography Quantification Methods for Evaluating Muscle Activity in Dysphagia
    Suprijanto
    Noor, Azizah S.
    Mandasari, Miranti, I
    Susanti, Hesty
    SAINS MALAYSIANA, 2021, 50 (12): : 3523 - 3535