Literature DB >> 25570683

Dynamic tension EMG to characterize the effects of DBS treatment of advanced Parkinson's disease.

V Ruonala, E Pekkonen, S Rissanen, O Airaksinen, G Miroshnichenko, M Kankaanpää, P Karjalainen.   

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.

Entities:  

Mesh:

Year:  2014        PMID: 25570683     DOI: 10.1109/EMBC.2014.6944315

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

Review 1.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

2.  Quantitative Assessment of the Arm/Hand Movements in Parkinson's Disease Using a Wireless Armband Device.

Authors:  Sofija Spasojević; Tihomir V Ilić; Ivan Stojković; Veljko Potkonjak; Aleksandar Rodić; José Santos-Victor
Journal:  Front Neurol       Date:  2017-08-11       Impact factor: 4.003

3.  Electromyography Biomarkers for Quantifying the Intraoperative Efficacy of Deep Brain Stimulation in Parkinson's Patients With Resting Tremor.

Authors:  Kai-Liang Wang; Mathew Burns; Dan Xu; Wei Hu; Shi-Ying Fan; Chun-Lei Han; Qiao Wang; Shimabukuro Michitomo; Xiao-Tong Xia; Jian-Guo Zhang; Feng Wang; Fan-Gang Meng
Journal:  Front Neurol       Date:  2020-02-26       Impact factor: 4.003

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.