DocumentCode :
140082
Title :
Dynamic tension EMG to characterize the effects of DBS treatment of advanced Parkinson´s disease
Author :
Ruonala, V. ; Pekkonen, E. ; Rissanen, S. ; Airaksinen, O. ; Miroshnichenko, German ; Kankaanpaa, M. ; Karjalainen, P.
Author_Institution :
Dept. of Appl. Phys., Univ. of Eastern Finland, Kuopio, Finland
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3248
Lastpage :
3251
Abstract :
Deep brain stimulation (DBS) is an effective treatment method for motor symptoms of advanced Parkinson´s disease. DBS-electrode is implanted to subthalamic nucleus to give precisely allocated electrical stimuli to brain. The optimal stimulus type has to be adjusted individually. Disease severity, main symptoms and biological factors play a role in correctly setting up the device. Currently there are no objective methods to assess the efficacy of DBS, hence the adjustment is based solely on clinical assessment. In optimal case an objectively measurable feature would point the right settings of DBS. Surface electromyographic and kinematic measurements have been used in Parkinson´s disease research. As Parkinson´s disease symptoms are known to change the EMG signal properties, these methods could be helpful aid in the clinical adjustment of DBS. In this study, 13 patients with advanced Parkinson´s disease who received DBS treatment were measured. The patients were measured with seven different settings of the DBS in clinical range including changes in stimulation amplitude, frequency and pulse width. The EMG analysis was based on parameters that characterize EMG signal morphology. Correlation dimension and recurrence rate made the most significant difference in relation to optimal settings. In conclusion, EMG analysis is able to detect differences between the DBS setups, and can help in finding the correct parameters.
Keywords :
biomechanics; biomedical electrodes; data analysis; diseases; electromyography; feature extraction; kinematics; medical control systems; medical disorders; medical signal processing; neurophysiology; patient treatment; prosthetics; DBS device setting; DBS efficacy assessment; DBS electrode implantation; DBS setups; DBS treatment effect characterization; EMG analysis; EMG signal morphology characterization; EMG signal morphology parameters; EMG signal properties; Parkinson disease research; Parkinson disease symptoms; advanced Parkinson disease; biological factors; clinical DBS adjustment; clinical DBS setting range; clinical assessment; correlation dimension effect; deep brain stimulation; disease severity; dynamic tension EMG; kinematic measurements; motor symptoms; objective measurable feature; optimal stimulus type adjustment; precise electrical stimuli allocation; recurrence rate effect; stimulation amplitude change; stimulation frequency change; stimulation pulse width change; subthalamic nucleus; surface electromyographic measurements; Brain stimulation; Current measurement; Educational institutions; Electromyography; Parkinson´s disease; Satellite broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944315
Filename :
6944315
Link To Document :
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