OBJECTIVES: Recently developed systems for ambulatory monitoring of voice use employ miniature accelerometers placed at the base of the anterior neck to sense phonation. As it is hoped that such systems will help improve the clinical assessment and management of voice disorders, this study was undertaken to determine the impact of dysphonia severity on the accuracy of accelerometer-based estimates of vocal function. METHODS: Simultaneous recordings were made of oral acoustic (microphone) and neck skin acceleration signals for 6 normal speakers and 18 patients with voice disorders (mild to severe dysphonia) as they performed several speech tasks. Measures of phonation time, fundamental frequency, and sound pressure level were extracted from the two types of signals and compared. RESULTS: It was generally demonstrated that accelerometer-based measures closely approximated corresponding measurements obtained from a microphone signal across all levels of dysphonia severity. Furthermore, there was evidence that in some cases the accelerometer may actually represent a more robust approach for estimating phonation parameters in disordered voices. CONCLUSIONS: The results generally support the recent application of accelerometers as phonation sensors in ambulatory voice monitoring systems that can be used in the clinical assessment and management of voice disorders.
OBJECTIVES: Recently developed systems for ambulatory monitoring of voice use employ miniature accelerometers placed at the base of the anterior neck to sense phonation. As it is hoped that such systems will help improve the clinical assessment and management of voice disorders, this study was undertaken to determine the impact of dysphonia severity on the accuracy of accelerometer-based estimates of vocal function. METHODS: Simultaneous recordings were made of oral acoustic (microphone) and neck skin acceleration signals for 6 normal speakers and 18 patients with voice disorders (mild to severe dysphonia) as they performed several speech tasks. Measures of phonation time, fundamental frequency, and sound pressure level were extracted from the two types of signals and compared. RESULTS: It was generally demonstrated that accelerometer-based measures closely approximated corresponding measurements obtained from a microphone signal across all levels of dysphonia severity. Furthermore, there was evidence that in some cases the accelerometer may actually represent a more robust approach for estimating phonation parameters in disordered voices. CONCLUSIONS: The results generally support the recent application of accelerometers as phonation sensors in ambulatory voice monitoring systems that can be used in the clinical assessment and management of voice disorders.
Authors: Mathieu Bourguignon; Xavier De Tiège; Marc Op de Beeck; Noémie Ligot; Philippe Paquier; Patrick Van Bogaert; Serge Goldman; Riitta Hari; Veikko Jousmäki Journal: Hum Brain Mapp Date: 2012-01-03 Impact factor: 5.038
Authors: Daryush D Mehta; Matías Zañartu; Shengran W Feng; Harold A Cheyne; Robert E Hillman Journal: IEEE Trans Biomed Eng Date: 2012-08-02 Impact factor: 4.538
Authors: Andrew J Ortiz; Laura E Toles; Katherine L Marks; Silvia Capobianco; Daryush D Mehta; Robert E Hillman; Jarrad H Van Stan Journal: J Acoust Soc Am Date: 2019-07 Impact factor: 1.840