Schkommodau, Erik
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Vorname
Name
Suchergebnisse
A novel assistive method for rigidity evaluation during deep brain stimulation surgery using acceleration sensors
2017-09, Schkommodau, Erik
Improvement maps: A Technique to visualise intraoperative stimulation test data
2016-08, Schkommodau, Erik
Improving DBS targeting using 3D visualization of intraoperative stimulation tests
2016-09, Schkommodau, Erik
3D Visualization of intraoperative stimulation test results for better target selection in DBS surgery (U-PP-04)
2016, Schkommodau, Erik
Intraoperative quantitative tremor evaluation in deep brain stimulation surgery
2016-09, Schkommodau, Erik
Intraoperative acceleration measurements to quantify tremor during deep brain stimulation surgery
2016, Schkommodau, Erik
Deep brain stimulation (DBS) surgery is extensively used in the treatment of movement disorders. Nevertheless, methods to evaluate the clinical response during intraoperative stimulation tests to identify the optimal position for the implantation of the chronic DBS lead remain subjective. In this paper, we describe a new, versatile method for quantitative intraoperative evaluation of improvement in tremor with an acceleration sensor that is mounted on the patient’s wrist during surgery. At each anatomical test position, the improvement in tremor compared to the initial tremor is estimated on the basis of extracted outcome measures. This method was tested on 15 tremor patients undergoing DBS surgery in two centers. Data from 359 stimulation tests were acquired. Our results suggest that accelerometric evaluation detects tremor changes more sensitively than subjective visual ratings. The effective stimulation current amplitudes identified from the quantitative data (1.1 ± 0.8 mA) are lower than those identified by visual evaluation (1.7 ± 0.8 mA) for similar improvement in tremor. Additionally, if these data had been used to choose the chronic implant position of the DBS lead, 15 of the 26 choices would have been different. These results show that our method of accelerometric evaluation can potentially improve DBS targeting.