研究目的
To investigate whether EEG decoding algorithms can infer the location of perceived tactile stimuli on the right forearm in real-time.
研究成果
The study demonstrated that EEG signals can be used to predict the location of tactile stimuli on the forearm with high accuracy. This could have practical applications in designing rehabilitation or assisting devices for patients with hypoesthesia.
研究不足
The study did not use eye tracking due to the restrictive MRI environment, which could have provided additional behavioral data. The sample size was small (ten participants), and the study focused only on tactile stimuli on the right forearm.
1：Experimental Design and Method Selection:
The study used single-trial EEG measurements to explore human brain processing in a tactile stimulus location discrimination task. A simple approach of feature extraction combined with SVM classification was proposed.
2：Sample Selection and Data Sources:
Ten healthy volunteers with normal or corrected-to-normal vision were recruited. EEG data were recorded using a 256-channel MRI-compatible HydroCel Geodesic Sensor Net.
3：List of Experimental Equipment and Materials:
A custom-made tactile device with four solenoid tactile stimulators and a fixation LED was used.
4：Experimental Procedures and Operational Workflow:
Participants were instructed to lie down, and tactile stimuli were administered at one of four locations on the right forearm. EEG data were recorded and preprocessed.
5：Data Analysis Methods:
EEG data were band-pass filtered, segmented, and analyzed using time-frequency representations and SVM classification.
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