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KMID : 1195620190120020217
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Clinical and Experimental Otorhinolaryngology
2019 Volume.12 No. 2 p.217 ~ p.223
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Development of a Novel Intraoperative Neuromonitoring System Using a Surface Pressure Sensor to Detect Muscle Movement: A Rabbit Model Study
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Sung Eui-Suk
Lee Jin-Choon
Shin Sung-Chan
Kwon Hyun-Geun
Kim Min-Sik
Kim Dong-Jo
Ro Jung-Hoon
Lee Byung-Joo
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Abstract
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Objectives: False-negative or false-positive responses in intraoperative neuromonitoring (IONM) using electromyography (EMG) in thyroid surgery pose a challenge. Therefore, we developed a novel IONM system that uses a surface pressure sensor instead of EMG to detect muscle twitching. This study aimed to investigate the feasibility and safety of a new IONM system using a piezo-electric surface pressure sensor in an experimental animal model.
Methods: We developed the surface pressure sensor by modifying a commercial piezo-electric sensor. We evaluated the stimulus thresholds to detect muscle movement, as well as the amplitude and latency of the EMG and surface pressure sensor in six sciatic nerves of three rabbits, according to the stimulus intensity.
Results: The surface pressure sensor detected the muscle movements in response to a 0.1 mA stimulation of all six sciatic nerves. There were no differences in the thresholds of stimulus intensity between the surface pressure sensor and EMG recordings to detect muscle movements.
Conclusion: It is possible to measure the change in surface pressure by using a piezo-electric surface pressure sensor instead of EMG to detect muscle movement induced by nerve stimulation. The application of IONM using a piezo-electric surface pressure sensor during surgery is noninvasive, safe, and feasible. Measuring muscle twitching to identify the state of the nerves using the novel IONM system can be an alternative to recording of EMG responses.
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KEYWORD
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Intraoperative Neurophysiological Monitoring, Surface Pressure Sensor, Electromyography, Recurrent Laryngeal Nerve, Thyroidectomy
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