A5100677102- EEG and Brain-Computer Interfaces
- Non-Invasive Vital Sign Monitoring
- Radiation Therapy and Dosimetry
- Gaze Tracking and Assistive Technology
- Nuclear Physics and Applications
- Diverticular Disease and Complications
- Colorectal and Anal Carcinomas
- Preterm Birth and Chorioamnionitis
- Advanced Radiotherapy Techniques
- Neuroscience and Neural Engineering
- Machine Learning and ELM
- Anorectal Disease Treatments and Outcomes
- Blind Source Separation Techniques
- Congenital Diaphragmatic Hernia Studies
- Muscle activation and electromyography studies
- Robotics and Sensor-Based Localization
- Neonatal Respiratory Health Research
- Inertial Sensor and Navigation
- Indoor and Outdoor Localization Technologies
- Radiation Detection and Scintillator Technologies
- Radiation Effects in Electronics
Sun Yat-sen University
2024
Sixth Affiliated Hospital of Sun Yat-sen University
2024
Institute of Modern Physics
2021-2024
Chinese Academy of Sciences
2021-2024
Soochow University
2016-2018
Chengdu Women's and Children's Central Hospital
2018
Objective: To investigate whether intact umbilical cord milking (I-UCM) can aggravate infection or result in other undesirable complications preterm infants with premature prolonged rupture of membranes (PPROM).Methods: Neonates vaginally delivered between 28 and 37 weeks' gestation complicated by PPROM before birth were randomly divided into two groups according to the clamping procedure: I-UCM immediate (ICC). Various parameters study participants compared groups.Results: Of 102 infants,...
Controlling rehabilitation training using patients' desired motion states is helpful to motivate their active participation, and further improve effect. Generally, are recognized by applying EMG or biomechanics information, these methods have great limitations for the patients who lost important muscle groups weakened functions. This paper proposed a method identifying intention based on cerebral hemoglobin information. Nine subjects performed bicycling movement in three velocity levels....
Most brain-computer interface (BCI) systems use the synchronization paradigm to detect specific brain activities control external devices. However, for further asynchronous application it is necessary provide users with a switch system on and off based spontaneous activities. EEG data during motor imagery of right hand movement were collected by 64 electrodes from 4 healthy subjects. After pre-processing feature related motion extracted common spacial pattern then linear discriminant...
To improve the effect of walking-assistive devices, there is a need for it to develop devices controlled by spontaneous intention patients. In recent study, we identified motion walking step based on cerebral hemoglobin information. Twenty healthy subjects performed tasks in three levels size (small, normal and large). According distribution features signals’ power spectral-density, six frequency bands (0-0.18Hz with an interval 0.03Hz each band width) divided applying wavelet packets...
Brain-computer interface (BCI) instead of depending on the brain's normal output pathways, can use electroencephalogram (EEG) from scalp as representation brain activity to control external devices. EEG during motor imagery (MI) provides a non-muscular communication way devices and has advantage non-invasiveness high time resolution. However application is still limited by time-consuming training poor classification rate with multiple categories etc. We recorded 64-channel eight healthy...