Assisted assessment system for internet addiction

Abstract

An auxiliary assessment system for internet addiction is proposed to address the low accuracy and inefficiency of conventional questionnaire-based surveys on internet addiction. The system comprises: an electroencephalogram (EEG) measurement module that records the EEG of a subject; a behavioral stimulation module that provides the subject with sensory stimuli related to their internet usage, using these stimuli to set at least one task and recording behavioral indicators of the subject during task execution; and an analysis and processing module that simultaneously receives the subject's EEG and behavioral indicators to train a predictive model. The trained predictive model generates internet addiction-related information for the assessed subject based on their EEG and corresponding behavioral indicators. This system can reduce the burden on medical personnel and improve the efficiency of internet addiction detection.

Claims

1. An auxiliary assessment system for internet addiction, comprising: an electroencephalogram (EEG) measurement module for recording an EEG of a subject; a behavioral stimulation module for providing the subject with sensory stimulation regarding internet usage, setting at least one task using the sensory stimulation, and recording a behavioral indicator of the subject while performing the task, the behavioral indicator including a reaction time, an accuracy rate, and a number of clicks; and an analysis and processing module coupled to the EEG measurement module and the behavioral stimulation module, the analysis and processing module synchronously receiving the subject's EEG and behavioral indicator to train a predictive model, the trained predictive model generating internet addiction-related information of the subject based on the subject's EEG and corresponding behavioral indicator, the internet addiction-related information including an internet addiction severity rating, the internet addiction severity rating being mild, moderate, or severe.

2. As in request item 1, the internet addiction auxiliary assessment system, wherein, The EEG measurement module includes a multi-channel EEG instrument, and the electrodes are placed according to the international 10-20 EEG electrode configuration method.

3. As in request item 1, an auxiliary assessment system for internet addiction, wherein, The sensory stimulus is visual or auditory, and the task is at least one of a stop signal task and an inhibitory control task.

4. As in request item 1, an auxiliary assessment system for internet addiction, wherein, The analysis and processing module preprocesses the EEG and behavioral indicators, including high-pass filtering, removal of line noise, and artifact removal.

5. As in request item 1, an auxiliary assessment system for internet addiction, wherein, The analysis and processing module extracts features from the EEG and behavioral indicators, including frequency, component waves, and phase coupling related feature values, and performs time-domain and frequency-domain switching, collects event-related potentials, event-related spectral perturbations, and functional connectivity.

6. As in request item 1, an auxiliary assessment system for internet addiction, wherein, The prediction model is trained using the K-nearest neighbor algorithm, random forest classifier, or support vector machine.

7. The internet addiction auxiliary assessment system as described in any of the requests 1 to 6 further includes an output module, which is coupled to the analysis and processing module. The output module presents the processed brainwaves, behavioral indicators, and internet addiction assessment reports in the form of data tables, analysis charts, and spectrograms.

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