Banus M S, Birchall M A, Graveston J A
Department of Otolaryngology, Head and Neck surgery, The Ear Institute, University College of London, London, UK.
Clin Otolaryngol. 2018 Apr;43(2):562-566. doi: 10.1111/coa.13022. Epub 2017 Nov 23.
This prospective cohort study investigates the prediction of a voluntary cough using surface electromyography (EMG) of intercostal and diaphragm muscles, to develop control algorithms for an EMG-controlled artificial larynx.
The Ear Institute, London.
Electromyography onset compared to voluntary cough exhalation onset and to 100 ms (to give the artificial larynx the time to close the bioengineered vocal cords) before voluntary cough exhalation onset, in twelve healthy participants.
In the 189 EMG of intercostal muscle-detected voluntary coughs, 172 coughs (91% CI 70-112) were detected before onset of cough exhalation and 128 coughs (67.6% CI 33.7-101.7) 100 ms before onset of cough exhalation. In the 158 EMG of diaphragm muscle-detected voluntary coughs, 149 coughs (94.3% CI 76.3-112.3) were detected before onset of cough exhalation and 102 coughs (64.6% CI 26.6-102.6) 100 ms before onset of cough exhalation. More coughs were detected before onset of cough exhalation when combining EMG activity of intercostal and diaphragm muscles and comparing this to intercostal muscle activity alone (183 coughs [96.8% CI 83.8-109.8] vs 172 coughs, P = .0294). When comparing the mentioned combination to diaphragm muscle activity alone, the higher percentage of detected coughs before cough exhalation onset was not found to be significant (183 coughs vs 149 coughs, P = .295). In addition, more coughs were detected 100 ms before onset of cough exhalation with the mentioned combination of EMG activity and comparing this to intercostal muscles alone (149 coughs [78.8% CI 48.8-108.8] vs 128 coughs, P = .0198) and to diaphragm muscles alone (149 coughs vs 102 coughs, P = .0038).
Most voluntary coughs can be predicted based on combined EMG signals of intercostal and diaphragm muscles, and therefore, these two muscle groups will be useful in controlling the bioengineered vocal cords within the artificial larynx during a voluntary cough.
这项前瞻性队列研究旨在通过肋间肌和膈肌的表面肌电图（EMG）来研究对自主咳嗽的预测，以开发用于肌电图控制的人工喉的控制算法。
伦敦耳科研究所。
在12名健康参与者中，将肌电图起始时间与自主咳嗽呼气起始时间以及自主咳嗽呼气起始前100毫秒（以便人工喉有时间闭合生物工程声带）进行比较。
在189次肋间肌肌电图检测到的自主咳嗽中，172次咳嗽（91%可信区间70 - 112）在咳嗽呼气起始前被检测到，128次咳嗽（67.6%可信区间33.7 - 101.7）在咳嗽呼气起始前100毫秒被检测到。在158次膈肌肌电图检测到的自主咳嗽中，149次咳嗽（94.3%可信区间76.3 - 112.3）在咳嗽呼气起始前被检测到，102次咳嗽（64.6%可信区间26.6 - 102.6）在咳嗽呼气起始前100毫秒被检测到。将肋间肌和膈肌的肌电图活动结合起来并与单独的肋间肌活动进行比较时，在咳嗽呼气起始前检测到的咳嗽更多（183次咳嗽[96.8%可信区间83.8 - 109.8]对172次咳嗽，P = 0.0294）。当将上述组合与单独的膈肌活动进行比较时，在咳嗽呼气起始前检测到的咳嗽较高百分比并无显著差异（183次咳嗽对149次咳嗽，P = 0.295）。此外，通过上述肌电图活动组合，在咳嗽呼气起始前100毫秒检测到的咳嗽更多，将其与单独的肋间肌比较（149次咳嗽[78.8%可信区间48.8 - 108.8]对128次咳嗽，P = 0.0198）以及与单独的膈肌比较（149次咳嗽对102次咳嗽，P = 0.0038）。
大多数自主咳嗽可以根据肋间肌和膈肌的联合肌电图信号进行预测，因此，这两组肌肉在自主咳嗽期间控制人工喉内的生物工程声带方面将是有用的。
