ArticleIEEE transactions on bio-medical engineering2011
Analysis of EMG and acceleration signals for quantifying the effects of deep brain stimulation in Parkinson's disease.
Article in IEEE transactions on bio-medical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 48 citations in OpenAlex.
- Objective clinical registration of tremor, bradykinesia, and rigidity during awake stereotactic neurosurgery: a scoping review.Neurosurgical review · 2024Article
- Model-based closed-loop control of thalamic deep brain stimulation.Frontiers in network physiology · 2024Article
- Wearable motion sensors to track tremor changes after radiosurgical thalamotomy.Journal of neurology · 2022Article
- Pattern Classification of Hand Movement Tremor in MS Patients with DBS ON and OFF.Journal of biomedical physics & engineering · 2022Article
- Changes in elbow flexion EMG morphology during adjustment of deep brain stimulator in advanced Parkinson's disease.PloS one · 2022Article
- Ulinastatin inhibits NLRP3-induced apoptosis in a PD cell model.Annals of translational medicine · 2021Article
- Methods for Lowering the Power Consumption of OS-Based Adaptive Deep Brain Stimulation Controllers.Sensors (Basel, Switzerland) · 2021Article
- Electromyography Biomarkers for Quantifying the Intraoperative Efficacy of Deep Brain Stimulation in Parkinson's Patients With Resting Tremor.Frontiers in neurology · 2020Article
- Parameters of Surface Electromyogram Suggest That Dry Immersion Relieves Motor Symptoms in Patients With Parkinsonism.Frontiers in neuroscience · 2018Article
- Levodopa-Induced Changes in Electromyographic Patterns in Patients with Advanced Parkinson's Disease.Frontiers in neurology · 2018Article
- Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery.Medical & biological engineering & computing · 2017Article
- How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.Frontiers in neuroscience · 2017Review
- Feature visualization and classification for the discrimination between individuals with Parkinson's disease under levodopa and DBS treatments.Biomedical engineering online · 2016Article
- Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
Deep brain stimulation (DBS) is effective in reducing motor symptoms in Parkinson's disease (PD). However, objective methods for quantifying its efficacy are lacking. We present a principal component (PC)-based tracking method for quantifying the effects of DBS in PD by using electromyography (EMG) and acceleration measurements. Ten parameters capturing PD characteristic signal features were initially extracted from isometric EMG and acceleration recordings. Using a PC approach, the original parameters were transformed into a smaller number of PCs. Finally, the effects of DBS were quantified by examining the PCs in a low-dimensional feature space. The EMG and acceleration data from 13 PD patients with DBS ON and OFF, and 13 healthy age-matched controls were used for analysis. Clinical evaluation of patients showed that their motor symptoms were effectively reduced with DBS. The analysis results showed that the signal characteristics of 12 patients were more similar to those of the healthy controls with DBS ON than with DBS OFF. These observations indicate that the PC-based tracking method can be used to objectively quantify the effects of DBS on the neuromuscular function of PD patients. Further studies are suggested to estimate the clinical sensitivity of the method to different types of PD.
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Registered trials
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