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physiological data collection  (PLUX Biosignals SA)


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    PLUX Biosignals SA physiological data collection
    Physiological Data Collection, supplied by PLUX Biosignals SA, used in various techniques. Bioz Stars score: 94/100, based on 180 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/physiological+data+collection/pm39880852-73-0-13?v=PLUX+Biosignals+SA
    Average 94 stars, based on 180 article reviews
    physiological data collection - by Bioz Stars, 2026-08
    94/100 stars

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    Experimental setup of multimodal human driver factor data collection. ( a ) A brief sketch of the overall simulation scenario. ( b ) Structural diagram of the simulator with six degrees of freedom. ( c ) Overall environment. All participants completed the experiment in the same environment. ( d ) Data collection. The multimodal physiological data to be collected are shown in Fig. 1, and the use of the relevant portraits was authorized by the participants.

    Journal: Scientific Data

    Article Title: A multimodal physiological dataset for driving behaviour analysis

    doi: 10.1038/s41597-024-03222-2

    Figure Lengend Snippet: Experimental setup of multimodal human driver factor data collection. ( a ) A brief sketch of the overall simulation scenario. ( b ) Structural diagram of the simulator with six degrees of freedom. ( c ) Overall environment. All participants completed the experiment in the same environment. ( d ) Data collection. The multimodal physiological data to be collected are shown in Fig. 1, and the use of the relevant portraits was authorized by the participants.

    Article Snippet: The EEG signals were collected by the physiological data collection system called the NeuSen W Series Wireless EEG Acquisition System, which is provided by Neuracle.

    Techniques:

    Marker used to mark the event occurrence point. With reference to the event related potential (ERP) paradigm, 500 ms before the event and 1500 ms after the event were intercepted to analyse the relationship between physiological signals and driving behaviours. To reduce mutual interference between events, there is a time interval between two events.

    Journal: Scientific Data

    Article Title: A multimodal physiological dataset for driving behaviour analysis

    doi: 10.1038/s41597-024-03222-2

    Figure Lengend Snippet: Marker used to mark the event occurrence point. With reference to the event related potential (ERP) paradigm, 500 ms before the event and 1500 ms after the event were intercepted to analyse the relationship between physiological signals and driving behaviours. To reduce mutual interference between events, there is a time interval between two events.

    Article Snippet: The EEG signals were collected by the physiological data collection system called the NeuSen W Series Wireless EEG Acquisition System, which is provided by Neuracle.

    Techniques: Marker

    Correlation heatmap of mean values of physiological signals and five driving behaviors.

    Journal: Scientific Data

    Article Title: A multimodal physiological dataset for driving behaviour analysis

    doi: 10.1038/s41597-024-03222-2

    Figure Lengend Snippet: Correlation heatmap of mean values of physiological signals and five driving behaviors.

    Article Snippet: The EEG signals were collected by the physiological data collection system called the NeuSen W Series Wireless EEG Acquisition System, which is provided by Neuracle.

    Techniques:

    Correlation heatmap of variation values of physiological signals and five driving behaviors.

    Journal: Scientific Data

    Article Title: A multimodal physiological dataset for driving behaviour analysis

    doi: 10.1038/s41597-024-03222-2

    Figure Lengend Snippet: Correlation heatmap of variation values of physiological signals and five driving behaviors.

    Article Snippet: The EEG signals were collected by the physiological data collection system called the NeuSen W Series Wireless EEG Acquisition System, which is provided by Neuracle.

    Techniques:

    The overall design framework of the experiment. ( a ) Trigger event. ( b ) Signal input. ( c ) Model selection. ( d ) Behavioural output. The overall idea is to induce different driving behaviour of human drivers through specific events and synchronously collect multimodal physiological signals, and then use models, such as LDA and EEGNet, to classify multiple driving behaviours.

    Journal: Scientific Data

    Article Title: A multimodal physiological dataset for driving behaviour analysis

    doi: 10.1038/s41597-024-03222-2

    Figure Lengend Snippet: The overall design framework of the experiment. ( a ) Trigger event. ( b ) Signal input. ( c ) Model selection. ( d ) Behavioural output. The overall idea is to induce different driving behaviour of human drivers through specific events and synchronously collect multimodal physiological signals, and then use models, such as LDA and EEGNet, to classify multiple driving behaviours.

    Article Snippet: The EEG signals were collected by the physiological data collection system called the NeuSen W Series Wireless EEG Acquisition System, which is provided by Neuracle.

    Techniques: Selection