TY - JOUR
T1 - Prediction of Larynx Function Using Multichannel Surface EMG Classification
AU - McNulty, Johnny
AU - De Jager, Kylie
AU - Lancashire, Henry T.
AU - Graveston, James
AU - Birchall, Martin
AU - Vanhoestenberghe, Anne
N1 - Funding Information:
The study was funded by the Indian Council of Medical Research, New Delhi, India [Special grant JE/AES (Project No. 228); (VIR/AES/2/2017/ECD-1)].
Funding Information:
Financial support & sponsorship: The study was funded by the Indian Council of Medical Research, New Delhi, India [Special
Publisher Copyright:
© 2018 IEEE.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - Total laryngectomy (TL) affects critical functions such as swallowing, coughing and speaking. An artificial, bioengineered larynx (ABL), operated via myoelectric signals, may improve quality of life for TL patients. To evaluate the efficacy of using surface electromyography (sEMG) as a control signal to predict instances of swallowing, coughing and speaking, sEMG was recorded from submental, intercostal and diaphragm muscles. The cohort included TL and control participants. Swallowing, coughing, speaking and movement actions were recorded, and a range of classifiers were investigated for prediction of these actions. Our algorithm achieved F1-scores of 76.0 ± 4.4% (swallows), 93.8 ± 2.8% (coughs) and 70.5 ± 5.4% (speech) for controls, and 67.7 ± 4.4% (swallows), 71.0 ± 9.1% (coughs) and 78.0 ± 3.8% (speech) for TLs, using a random forest (RF) classifier. 75.1 ± 6.9% of swallows were detected within 500 ms of onset in the controls, and 63.1 ± 6.1% in TLs. sEMG can be used to predict critical larynx movements, although a viable ABL requires improvements. Results are particularly encouraging as they encompass a TL cohort. An ABL could alleviate many challenges faced by laryngectomees. This study represents a promising step toward realising such a device.
AB - Total laryngectomy (TL) affects critical functions such as swallowing, coughing and speaking. An artificial, bioengineered larynx (ABL), operated via myoelectric signals, may improve quality of life for TL patients. To evaluate the efficacy of using surface electromyography (sEMG) as a control signal to predict instances of swallowing, coughing and speaking, sEMG was recorded from submental, intercostal and diaphragm muscles. The cohort included TL and control participants. Swallowing, coughing, speaking and movement actions were recorded, and a range of classifiers were investigated for prediction of these actions. Our algorithm achieved F1-scores of 76.0 ± 4.4% (swallows), 93.8 ± 2.8% (coughs) and 70.5 ± 5.4% (speech) for controls, and 67.7 ± 4.4% (swallows), 71.0 ± 9.1% (coughs) and 78.0 ± 3.8% (speech) for TLs, using a random forest (RF) classifier. 75.1 ± 6.9% of swallows were detected within 500 ms of onset in the controls, and 63.1 ± 6.1% in TLs. sEMG can be used to predict critical larynx movements, although a viable ABL requires improvements. Results are particularly encouraging as they encompass a TL cohort. An ABL could alleviate many challenges faced by laryngectomees. This study represents a promising step toward realising such a device.
KW - Artificial larynx
KW - coughing
KW - pattern recognition
KW - speech
KW - surface electromyography (sEMG)
KW - swallowing
KW - total laryngectomy
UR - http://www.scopus.com/inward/record.url?scp=85118591635&partnerID=8YFLogxK
U2 - 10.1109/TMRB.2021.3122966
DO - 10.1109/TMRB.2021.3122966
M3 - Article
AN - SCOPUS:85118591635
SN - 2576-3202
VL - 3
SP - 1032
EP - 1039
JO - IEEE Transactions on Medical Robotics and Bionics
JF - IEEE Transactions on Medical Robotics and Bionics
IS - 4
ER -