AIMC Topic: Wakefulness

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Frameless Robot-Assisted vs Frame-Based Awake Deep Brain Stimulation Surgery: An Evaluation of Technique and New Challenges.

Operative neurosurgery (Hagerstown, Md.) Mar 1, 2022
BACKGROUND: Methodological approaches to deep brain stimulation (DBS) continue to evolve from awake frame-based to asleep frameless procedures with robotic assistance, primarily directed to optimize operative efficiency, lead accuracy, and patient co...
Humans Imaging, Three-Dimensional Robotics Robotic Surgical Procedures Deep Brain Stimulation Wakefulness
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Rongchang and Xifeng capsules suppress pentylenetetrazole-induced seizures and change rest/wake behavior in zebrafish larvae.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Dec 1, 2019
OBJECTIVE: To evaluate the effects of Rongchang capsule and Xifeng capsule on pentylenetetrazole- induced epilepsy in zebrafish larvae and to explore the possible mechanisms behind their actions.
Animals Male Larva Drugs, Chinese Herbal Pentylenetetrazole Seizures Anticonvulsants Zebrafish Wakefulness Rest
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Categorizing Sleep in Older Adults with Wireless Activity Monitors Using LSTM Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Novel approaches are needed to accurately classify and monitor sleep patterns in older adults, particularly those with cognitive impairment and non-normative sleep. Traditional methods ignore underlying sleep architecture in these patient populations...
Humans Neural Networks, Computer Machine Learning Female Aged Adult Male Middle Aged Wearable Electronic Devices Wakefulness Sleep Polysomnography Wireless Technology
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Single-Channel Real-Time Drowsiness Detection Based on Electroencephalography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
The need of a reliable drowsiness detection system is arising today, as drowsiness is considered as a major cause for accidents as much as alcohol. In this paper, we propose a real-time drowsiness detection algorithm based on a single-channel electro...
Humans Algorithms Support Vector Machine Electroencephalography Automobile Driving Wakefulness Sleep Stages
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