Automatic detection of tic activity in the Tourette Syndrome

Michel Bernabei, Giuseppe Andreoni, Martin O Mendez Garcia, Luca Piccini, Federico Aletti, Marco Sassi, Domenico Servello, Mauro Porta, Ezio Preatoni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 4 Citations

Abstract

This study presents a simple decision-support system for the detection of tic events during the Tourette Syndrome (TS). The system is based on a triaxial accelerometer placed on the patient's trunk. TS is a neurological disorder that emerges during childhood and that is characterized by a large spectrum of involuntary/compulsive movements and sounds. 12 subjects with chronic TS participated in the study and the tic events were both measured by the proposed device and visually classified through video recording. 3D-acceleration timeseries were combined through a module operator and their noise was eliminated by a median filter. Signal to noise ratio was improved by a nonlinear energy operator. Finally, a time-variant threshold was used to detect tic events. The automatic tic recognition showed a performance around 80 % in terms of sensitivity, specificity and accuracy. In conclusion, this simple, automatic and unobtrusive method offers an alternative approach to quantitatively assess the tic events in clinical and non clinical environments. This overcomes the limitations of the current motor tic evaluation which is done by clinical observation and/or video-inspection in specialized neurological centres.
LanguageEnglish
Title of host publicationProceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010
PublisherIEEE
Pages422-425
Number of pages4
Volume2010
DOIs
StatusPublished - 2010
EventEngineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE - Buenos Aires, Argentina
Duration: 30 Aug 20103 Sep 2010

Conference

ConferenceEngineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
CountryArgentina
CityBuenos Aires
Period30/08/103/09/10

Fingerprint

Tics
Tourette Syndrome
Video Recording
Dyskinesias
Signal-To-Noise Ratio
Nervous System Diseases
Noise
Observation
Sensitivity and Specificity
Equipment and Supplies

Cite this

Bernabei, M., Andreoni, G., Mendez Garcia, M. O., Piccini, L., Aletti, F., Sassi, M., ... Preatoni, E. (2010). Automatic detection of tic activity in the Tourette Syndrome. In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010 (Vol. 2010, pp. 422-425). IEEE. DOI: 10.1109/IEMBS.2010.5627374

Automatic detection of tic activity in the Tourette Syndrome. / Bernabei, Michel; Andreoni, Giuseppe; Mendez Garcia, Martin O; Piccini, Luca; Aletti, Federico; Sassi, Marco; Servello, Domenico; Porta, Mauro; Preatoni, Ezio.

Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010. Vol. 2010 IEEE, 2010. p. 422-425.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bernabei, M, Andreoni, G, Mendez Garcia, MO, Piccini, L, Aletti, F, Sassi, M, Servello, D, Porta, M & Preatoni, E 2010, Automatic detection of tic activity in the Tourette Syndrome. in Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010. vol. 2010, IEEE, pp. 422-425, Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, Buenos Aires, Argentina, 30/08/10. DOI: 10.1109/IEMBS.2010.5627374
Bernabei M, Andreoni G, Mendez Garcia MO, Piccini L, Aletti F, Sassi M et al. Automatic detection of tic activity in the Tourette Syndrome. In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010. Vol. 2010. IEEE. 2010. p. 422-425. Available from, DOI: 10.1109/IEMBS.2010.5627374
Bernabei, Michel ; Andreoni, Giuseppe ; Mendez Garcia, Martin O ; Piccini, Luca ; Aletti, Federico ; Sassi, Marco ; Servello, Domenico ; Porta, Mauro ; Preatoni, Ezio. / Automatic detection of tic activity in the Tourette Syndrome. Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010. Vol. 2010 IEEE, 2010. pp. 422-425
@inproceedings{d063bb36cc0c488c9afbc96f2a7b870b,
title = "Automatic detection of tic activity in the Tourette Syndrome",
abstract = "This study presents a simple decision-support system for the detection of tic events during the Tourette Syndrome (TS). The system is based on a triaxial accelerometer placed on the patient's trunk. TS is a neurological disorder that emerges during childhood and that is characterized by a large spectrum of involuntary/compulsive movements and sounds. 12 subjects with chronic TS participated in the study and the tic events were both measured by the proposed device and visually classified through video recording. 3D-acceleration timeseries were combined through a module operator and their noise was eliminated by a median filter. Signal to noise ratio was improved by a nonlinear energy operator. Finally, a time-variant threshold was used to detect tic events. The automatic tic recognition showed a performance around 80 {\%} in terms of sensitivity, specificity and accuracy. In conclusion, this simple, automatic and unobtrusive method offers an alternative approach to quantitatively assess the tic events in clinical and non clinical environments. This overcomes the limitations of the current motor tic evaluation which is done by clinical observation and/or video-inspection in specialized neurological centres.",
author = "Michel Bernabei and Giuseppe Andreoni and {Mendez Garcia}, {Martin O} and Luca Piccini and Federico Aletti and Marco Sassi and Domenico Servello and Mauro Porta and Ezio Preatoni",
year = "2010",
doi = "10.1109/IEMBS.2010.5627374",
language = "English",
volume = "2010",
pages = "422--425",
booktitle = "Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010",
publisher = "IEEE",
address = "USA United States",

}

TY - GEN

T1 - Automatic detection of tic activity in the Tourette Syndrome

AU - Bernabei,Michel

AU - Andreoni,Giuseppe

AU - Mendez Garcia,Martin O

AU - Piccini,Luca

AU - Aletti,Federico

AU - Sassi,Marco

AU - Servello,Domenico

AU - Porta,Mauro

AU - Preatoni,Ezio

PY - 2010

Y1 - 2010

N2 - This study presents a simple decision-support system for the detection of tic events during the Tourette Syndrome (TS). The system is based on a triaxial accelerometer placed on the patient's trunk. TS is a neurological disorder that emerges during childhood and that is characterized by a large spectrum of involuntary/compulsive movements and sounds. 12 subjects with chronic TS participated in the study and the tic events were both measured by the proposed device and visually classified through video recording. 3D-acceleration timeseries were combined through a module operator and their noise was eliminated by a median filter. Signal to noise ratio was improved by a nonlinear energy operator. Finally, a time-variant threshold was used to detect tic events. The automatic tic recognition showed a performance around 80 % in terms of sensitivity, specificity and accuracy. In conclusion, this simple, automatic and unobtrusive method offers an alternative approach to quantitatively assess the tic events in clinical and non clinical environments. This overcomes the limitations of the current motor tic evaluation which is done by clinical observation and/or video-inspection in specialized neurological centres.

AB - This study presents a simple decision-support system for the detection of tic events during the Tourette Syndrome (TS). The system is based on a triaxial accelerometer placed on the patient's trunk. TS is a neurological disorder that emerges during childhood and that is characterized by a large spectrum of involuntary/compulsive movements and sounds. 12 subjects with chronic TS participated in the study and the tic events were both measured by the proposed device and visually classified through video recording. 3D-acceleration timeseries were combined through a module operator and their noise was eliminated by a median filter. Signal to noise ratio was improved by a nonlinear energy operator. Finally, a time-variant threshold was used to detect tic events. The automatic tic recognition showed a performance around 80 % in terms of sensitivity, specificity and accuracy. In conclusion, this simple, automatic and unobtrusive method offers an alternative approach to quantitatively assess the tic events in clinical and non clinical environments. This overcomes the limitations of the current motor tic evaluation which is done by clinical observation and/or video-inspection in specialized neurological centres.

UR - http://dx.doi.org/10.1109/IEMBS.2010.5627374

U2 - 10.1109/IEMBS.2010.5627374

DO - 10.1109/IEMBS.2010.5627374

M3 - Conference contribution

VL - 2010

SP - 422

EP - 425

BT - Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires (Argentina), August 31-September 4, 2010

PB - IEEE

ER -