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Content Provider | IET Digital Library |
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Author | Qian, Xing Hao, Hongwei Ma, Bozhi Wen, Xiongwei Hu, Chunhua Li, Luming |
Abstract | Electroencephalography (EEG) and deep brain stimulation (DBS), as specific instrument and tool, respectively, for reading and changing the electrical activities of the human brain, are milestones in the history of neuroscience and brain research. Although scientists have gone very far in exploring the brain, the mechanisms of many neurological diseases and therapies are not clear yet. Therefore, an implanted rechargeable EEG device, adding the recording function to conventional DBS to make it not only a therapy device but a scientific research tool has been developed. The EEG performance of the device is good compared with the SynAmps2 of NeuroScan. Radio-frequency (RF) communication at 403 MHz is used for data transmission, which has a high speed and long transmission distance and enables mass quantity data transmission. A rechargeable battery is used for power supply, making the system life longer and lowering the requirement of low-power design. This device is a good platform for neuroscience research by being implanted in animal models of different nervous system disorders or patients with diseases such as Parkinson's disease (PD). The recorded data will help to better understand the brain and the mechanisms of brain disorders and also help to optimise clinical therapy. |
Starting Page | 1419 |
Ending Page | 1421 |
Page Count | 3 |
ISSN | 00135194 |
Volume Number | 50 |
e-ISSN | 1350911X |
Issue Number | Issue 20, Sep (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/50/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2014.1820 |
Journal | Electronics Letters |
Publisher Date | 2014-09-12 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Bioelectric Signal Biomedical Equipment Brain Disorders Clinical Therapy Optimisation Deep Brain Stimulation Electroencephalography Frequency 403 MHz Implanted Rechargeable EEG Device Low Power Electronics Low-power Design Mass Quantity Data Transmission Neurophysiology Neuroscience Research Orthotics Parkinson Disease Prosthetics Radiofrequency Communication Rechargeable Battery Secondary Cell |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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