DocumentCode
240083
Title
Comparative analysis of orbicularis oculi electromyogram and voice fundamental frequency variation in the context of acoustic startle response
Author
Dropuljic, Branimir ; Mijic, Igor ; Petrinovic, Davor ; Cosic, Kresimir ; Jovanovic, Tanja
Author_Institution
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
fYear
2014
fDate
5-7 Nov. 2014
Firstpage
149
Lastpage
154
Abstract
This paper presents a comparison of two methods for measuring the acoustic startle response: orbicularis oculi (eyeblink) electromyogram (EMG), which is the conventional measure, and voice fundamental frequency (F0) variations as a consequence of laryngeal muscle innervations. A comparative analysis of the two approaches was performed using statistical methods, as well as system identification modeling using ARX, ARMAX, Output Error and Box-Jenkins models. For this purpose, an experiment was designed in which fourteen participants sustained constant phonation and acoustic startle stimuli of varying parameters were delivered at random time points during the phonation. Physiological signals, including eyeblink EMG, were acquired in parallel to voice recording. The comparative analysis showed that by increasing intensity of acoustic stimulus, response peak amplitudes of both: F0 variations and rectified and smoothed EMG responses increased as well. Therefore, voice F0 may be useful for startle response analysis when eyeblink EMG measurement is unavailable or impractical.
Keywords
biomechanics; electromyography; eye; medical signal processing; speech; statistical analysis; ARMAX; Box-Jenkins models; acoustic startle context response; acoustic startle stimuli; acoustic stimulus intensity; comparative analysis; constant phonation; eyeblink EMG; eyeblink EMG measurement; laryngeal muscle innervations; orbicularis oculi electromyogram; output error; physiological signals; random time points; rectified EMG responses; response peak amplitudes; smoothed EMG responses; statistical methods; system identification modeling; voice fundamental frequency variation; voice recording; Acoustics; Autoregressive processes; Computational modeling; Electromyography; Frequency measurement; Muscles; Silicon; EMG eyeblink reflex; acoustic startle response; orbicularis oculi muscle; system identification modeling; voice fundamental frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
Conference_Location
Vietri sul Mare
Type
conf
DOI
10.1109/CogInfoCom.2014.7020436
Filename
7020436
Link To Document