Abstract
A miniaturized intracerebral potential recorder for long-term local field potential (LFP) of deep brain signals is proposed. LFP can be recorded by deep brain electrodes. The abnormal beta-band oscillation of LFP in subthalamic nucleus and internal globus pallidus in patients with Parkinson's disease (PD) are associated with the severity of the symptoms. The LFP signal from patients who have been implanted with deep brain electrode can be monitored by our system for at least 24 hours in real time. Graphical user interface has also been developed for use by medical personnel. Imitation experiments and in vivo experiments were performed to successfully verify that our system can measure LFP signals. With 24-hour intracerebral signals, researchers can analyze what is happened in the brain in daily life. In the future, more effective PD treatment can be developed, such as intelligent closed-loop deep brain stimulation.
Original language | English |
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Title of host publication | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society |
Subtitle of host publication | Enabling Innovative Technologies for Global Healthcare, EMBC 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5188-5191 |
Number of pages | 4 |
ISBN (Electronic) | 9781728119908 |
DOIs | |
State | Published - 07 2020 |
Externally published | Yes |
Event | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada Duration: 20 07 2020 → 24 07 2020 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2020-July |
ISSN (Print) | 1557-170X |
Conference
Conference | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 |
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Country/Territory | Canada |
City | Montreal |
Period | 20/07/20 → 24/07/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Parkinson's disease
- beta-band oscillation
- deep brain signals
- graphical user interface
- local field potential