Literature DB >> 33504836

Quantification of patellar tendon reflex using portable mechanomyography and electromyography devices.

Hironori Tsuji1, Haruo Misawa2, Tomoyuki Takigawa3, Tomoko Tetsunaga2, Kentaro Yamane2, Yoshiaki Oda2, Toshifumi Ozaki4.   

Abstract

Deep tendon reflexes are one of the main components of the clinical nervous system examinations. These assessments are inexpensive and quick. However, evaluation can be subjective and qualitative. This study aimed to objectively evaluate hyperreflexia of the patellar tendon reflex using portable mechanomyography (MMG) and electromyography (EMG) devices. This study included 10 preoperative patients (20 legs) who had a pathology that could cause bilateral patellar tendon hyperreflexia and 12 healthy volunteers (24 legs) with no prior history of neurological disorders. We attached MMG/EMG sensors onto the quadriceps and tapped the patellar tendon with maximal and constant force. Our results showed a significantly high amplitude of the root mean square (RMS) and low frequency of the mean power frequency (MPF) in the rectus femoris, vastus medialis, and vastus lateralis muscles in both EMG and MMG with both maximal and constant force. Especially in the patients with cervical and thoracic myelopathy, the receiver operating characteristic (ROC) curve for diagnosing hyperreflexia of the patellar tendon showed a moderate to very high area under the curve for all EMG-RMS, EMG-MPF, MMG-RMS, and MMG-MPF values. The use of EMG and MMG for objectively quantifying the patellar tendon reflex is simple and desirable for future clinical applications and could help diagnose neurological disorders.

Entities:  

Year:  2021        PMID: 33504836      PMCID: PMC7840930          DOI: 10.1038/s41598-021-81874-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  37 in total

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Authors:  Chloe Dafkin; Andrew Green; Samantha Kerr; Demetri Veliotes; Warrick McKinon
Journal:  Muscle Nerve       Date:  2012-11-21       Impact factor: 3.217

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Journal:  J Neurosurg Spine       Date:  2006-05

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Authors:  Maria K Lebiedowska; Siddhartha Sikdar; Avinash Eranki; Lindsay Garmirian
Journal:  J Neurosci Methods       Date:  2011-04-27       Impact factor: 2.390

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  2 in total

1.  Indices reflecting muscle contraction performance during exercise based on a combined electromyography and mechanomyography approach.

Authors:  Takaki Kawashima; Hisao Oka; Shinichi Fukuhara
Journal:  Sci Rep       Date:  2021-10-27       Impact factor: 4.379

Review 2.  A Systematic Review of Sensor Fusion Methods Using Peripheral Bio-Signals for Human Intention Decoding.

Authors:  Anany Dwivedi; Helen Groll; Philipp Beckerle
Journal:  Sensors (Basel)       Date:  2022-08-23       Impact factor: 3.847

  2 in total

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