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ZENODO
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License: CC BY
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ZENODO
Dataset . 2022
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Microelectrode register (MER) data from Deep Brain Stimulation (DBS) surgery in Parkinson's disease patients

Authors: Rosado-Muñoz, Alfredo; Guerrero-Martínez, Juan Francisco; Gutierrez Martín, Antonio;

Microelectrode register (MER) data from Deep Brain Stimulation (DBS) surgery in Parkinson's disease patients

Abstract

MER data consist of brain signal in different depths when DBS surgery is being done. In each depth, a data file is created, with different duration depending on the depth, and up to three channels. Data come from 14 patients (9 males and 5 females), they are anonymized and labelled from P1 to P14. They correspond to patients in age 65.1 +- 5.6 years. Data are organized in STN-IN and STN-OUT (different depths in each folder), subthalamus-in, and subthalamus-out since the STN area is the target area when implanting a DBS. Classification in STN-IN and STN-OUT was made by the neurophysiologists and surgeons. Data were recorded for left and right lobes, 8 patients in left and right lobe, 1 patient in right lobe, and 5 patients in left lobe. The format is mat file (MATLAB file) Data sampling frequency is 12kHz. No filtering or data processing was made, they are directly obtained from the MER acquisition system.

Keywords

Parkinson disease, Microelectrode Register - MER, Deep Brain Stimulation - DBS

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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