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公开(公告)号：US11672455B2
公开(公告)日：2023-06-13
申请号：US16957073
申请日：2017-12-29
发明人： Zhuo Zhang , Aung Aung Phyo Wai , Cuntai Guan , Hai Hong Zhang
CPC分类号： A61B5/165 , A61B5/18 , A61B5/316 , A61B5/369 , A61B5/7267 , A61B5/0006 , A61B5/163 , A61B5/374
摘要： Described is a computer system for establishing an electroencephalogram (EEG) model for discriminating between alert and fatigue states. The computer system comprises a receiver module for receiving an alert state segment illustrative of an alert state of at least one subject, and one or more EEG fatigue data segments illustrative of a fatigue state of the at least one subject. The computer system further comprises a segment selector for selecting one of the one or more fatigue data segments and setting it to be an assumed maximum fatigue segment, an EEG classifier trainer for training an EEG classifier by extracting an EEG feature space from the alert state segment and assumed maximum fatigue segment, and a maximum fatigue identifier module for identifying a segment of maximum fatigue by applying the EEG classifier to each of the fatigue data segments. The computer system further comprises a segment comparator for determining if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment, and a limit setter for setting the segment of maximum fatigue as a revised assumed maximum fatigue segment, if the segment of maximum fatigue is inconsistent with the assumed maximum fatigue segment, and supplying the EEG classifier trainer with the revised assumed maximum fatigue segment. The computer system further comprises a model output module for setting the EEG classifier as the EEG model for discriminating between alert and fatigue states in segments of EEG data, if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment.
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公开(公告)号：US11039784B2
公开(公告)日：2021-06-22
申请号：US15533372
申请日：2015-12-07
发明人： Zhuo Zhang , Cuntai Guan , Hai Hong Zhang , Huijuan Yang
摘要： A method for profiling sleep of an individual is provided. The method includes defining a sleep feature space for the individual, measuring a brain wave for the individual during the individual's sleep, and mapping the sleep feature space in response to a comparison of the brain wave and a previous brain wave measurement used to define the sleep feature space. The brain wave may comprise a brain wave spectrum. The sleep feature space may comprise, or be composed of, spectral power and envelope measures. The method also includes modelling the mapped sleep feature space in response to recognized neural network patterns corresponding to each of a plurality of sleep stages derived from recognizing the neural network patterns from the sleep feature space and deriving a sleep profile for the individual from sleep stages determined in response to the modelled mapped sleep feature space and the brain wave of the individual.
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3.发明申请公开(公告)号：US20180279960A1
公开(公告)日：2018-10-04
申请号：US15940884
申请日：2018-03-29
发明人： Xinyang Li , Cuntai Guan , Haihong Zhang , Kai Keng Ang , Zhuo Zhang
IPC分类号： A61B5/00 , A61B5/04 , A61B5/0476
摘要： There is provided a method and apparatus for real-time discriminative ocular artefact removal from EEG signals. This is facilitated by integrating inter-class dissimilarity and within-class similarity in a regularized framework based on oscillatory correlation. Correspondingly, components related to ocular movements are extracted from the raw data as pseudo-artefact channels so that it is applicable to single-channel EEG data without a dedicated EOG or eye-tracker.
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4.发明授权System and method for developing a model indicative of a subject's emotional state when listening to musical pieces 有权用于在听音乐作品时开发指示受试者的情绪状态的模型的系统和方法公开(公告)号：US09557957B2
公开(公告)日：2017-01-31
申请号：US14428852
申请日：2013-09-17
发明人： Cuntai Guan , Juanhong Yu , Yaozhang Pan
IPC分类号： G06F17/00 , G06F3/16 , A61B5/0484 , A61B5/0476
CPC分类号： G06F3/165 , A61B5/0476 , A61B5/048 , A61B5/04845 , A61B5/165 , A61M2230/10
摘要： A method for deriving optimal discriminating features indicative of a subject state when the subject listens to one of a set of musical pieces, comprising a step of extracting frequency features from the subject's EEG signal when the subject is in a first subject state and a second subject state, the frequency features being extracted from more than one frequency band in one set of time segments; and identifying optimal discriminating features from the extracted frequency features, the optimal discriminating features indicative of characteristics of the EEG signal when the subject is in the first subject state and the second subject state, wherein one of the first subject state and the second subject state indicates that the subject likes a musical piece while the other state indicates that the subject does not like the musical piece.
摘要翻译： 一种当主体听到一组音乐作品之一时，导出指示被摄体状态的最佳辨别特征的方法，包括当被摄体处于第一被摄体状态时从被摄体的EEG信号中提取频率特征的步骤，以及第二主体 状态，频率特征从一组时间段中的多于一个频带提取; 以及从所提取的频率特征中识别最佳鉴别特征，当所述对象处于所述第一对象状态和所述第二被摄体状态时指示所述EEG信号的特征的最佳识别特征，其中所述第一对象状态和所述第二对象状态中的一个指示 主体喜欢音乐作品，而另一个状态表示主体不喜欢音乐作品。
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公开(公告)号：US20200057499A1
公开(公告)日：2020-02-20
申请号：US16498872
申请日：2018-03-29
发明人： Zhuo Zhang , Cuntai Guan , Chuanchu Wang
IPC分类号： G06F3/01 , A61B5/0484 , G05B15/02
摘要： A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.
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6.发明申请公开(公告)号：US20150235134A1
公开(公告)日：2015-08-20
申请号：US14428852
申请日：2013-09-17
发明人： Cuntai Guan , Juanhong Yu , Yaozhang Pan
CPC分类号： G06F3/165 , A61B5/0476 , A61B5/048 , A61B5/04845 , A61B5/165 , A61M2230/10
摘要： A method for deriving optimal discriminating features indicative of a subject state when the subject listens to one of a set of musical pieces, comprising a step of extracting frequency features from the subject's EEG signal when the subject is in a first subject state and a second subject state, the frequency features being extracted from more than one frequency band in one set of time segments; and identifying optimal discriminating features from the extracted frequency features, the optimal discriminating features indicative of characteristics of the EEG signal when the subject is in the first subject state and the second subject state, wherein one of the first subject state and the second subject state indicates that the subject likes a musical piece while the other state indicates that the subject does not like the musical piece.
摘要翻译： 一种当主体听到一组音乐作品之一时，导出指示被摄体状态的最佳辨别特征的方法，包括当被摄体处于第一被摄体状态时从被摄体的EEG信号中提取频率特征的步骤，以及第二主体 状态，频率特征从一组时间段中的多于一个频带提取; 以及从所提取的频率特征中识别最佳鉴别特征，当所述对象处于所述第一对象状态和所述第二被摄体状态时指示所述EEG信号的特征的最佳识别特征，其中所述第一对象状态和所述第二对象状态中的一个指示 主体喜欢音乐作品，而另一个状态表示主体不喜欢音乐作品。
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公开(公告)号：US20150187227A1
公开(公告)日：2015-07-02
申请号：US14423614
申请日：2013-08-22
发明人： Hai Hong Zhang , Cuntai Guan , Ranga Krishnan , Tih Shih Lee , Zheng Yang Chin
IPC分类号： G09B19/00 , A61B5/16 , A61B5/0476 , A61B5/00
CPC分类号： G09B19/00 , A61B5/0077 , A61B5/0476 , A61B5/162 , A61B5/4088 , A61B5/72 , A61B5/742 , A61B5/7475 , G02B6/12033 , G02F1/0147 , G02F1/025 , G02F1/225 , G02F2203/585
摘要： A cognitive training method has a step of obtaining sensor data of a subject during a memory exercise which in turns determining whether the sensor data includes predetermined information indicative of cognitive functions used for remembering. The step of advancing the memory exercise is carried out when it is determined that the sensor data includes predetermined information indicative of cognitive functions used for remembering. The step of calculating an objective cognitive assessment of the subject when the memory exercise is completed and a cognitive training is measured at least partially in response to the advancing the memory exercise. The fact that an objective cognitive assessment is calculated provides a method of using an autodidactic cognitive training device.
摘要翻译： 认知训练方法具有在存储器锻炼期间获得被摄体的传感器数据的步骤，其进而确定传感器数据是否包括指示用于记忆的认知功能的预定信息。 当确定传感器数据包括指示用于记忆的认知功能的预定信息时，进行记忆练习的步骤。 记忆练习完成时计算对象的客观认知评估的步骤，并且至少部分地响应于进行记忆练习来测量认知训练。 计算客观认知评估的事实提供了使用自尊式认知训练装置的方法。
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公开(公告)号：US12121358B2
公开(公告)日：2024-10-22
申请号：US17050284
申请日：2019-04-29
发明人： Huijuan Yang , Cuntai Guan , Haihong Zhang , Kai Keng Ang , Rosa Qi Yue So
IPC分类号： A61B5/316 , A61B5/00 , A61B5/369 , G06N3/08 , G06N20/10 , G08C17/02 , G16H20/30 , G16H20/40 , A61F4/00
CPC分类号： A61B5/316 , A61B5/0006 , A61B5/369 , G06N3/08 , G06N20/10 , G08C17/02 , G16H20/30 , G16H20/40 , A61F4/00 , G08C2201/30
摘要： Disclosed is a signal processing system for a brain machine interface (BMI) and a method performed by such a signal processing system. The method involves receiving and filtering input data comprising cortical signal samples, calculating a threshold for detection of spikes, identifying spikes in subsequently received samples, and outputting spike data corresponding to the identified spike or spikes.
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公开(公告)号：US20200337622A1
公开(公告)日：2020-10-29
申请号：US16957073
申请日：2017-12-29
发明人： Zhuo Zhang , Aung Aung Phyo Wai , Cuntai Guan , Hai Hong Zhang
IPC分类号： A61B5/16 , A61B5/00 , A61B5/18 , A61B5/0476 , A61B5/04
摘要： Described is a computer system for establishing an electroencephalogram (EEG) model for discriminating between alert and fatigue states. The computer system comprises a receiver module for receiving an alert state segment illustrative of an alert state of at least one subject, and one or more EEG fatigue data segments illustrative of a fatigue state of the at least one subject. The computer system further comprises a segment selector for selecting one of the one or more fatigue data segments and setting it to be an assumed maximum fatigue segment, an EEG classifier trainer for training an EEG classifier by extracting an EEG feature space from the alert state segment and assumed maximum fatigue segment, and a maximum fatigue identifier module for identifying a segment of maximum fatigue by applying the EEG classifier to each of the fatigue data segments. The computer system further comprises a segment comparator for determining if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment, and a limit setter for setting the segment of maximum fatigue as a revised assumed maximum fatigue segment, if the segment of maximum fatigue is inconsistent with the assumed maximum fatigue segment, and supplying the EEG classifier trainer with the revised assumed maximum fatigue segment. The computer system further comprises a model output module for setting the EEG classifier as the EEG model for discriminating between alert and fatigue states in segments of EEG data, if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment.
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公开(公告)号：US10983595B2
公开(公告)日：2021-04-20
申请号：US16498872
申请日：2018-03-29
发明人： Zhuo Zhang , Cuntai Guan , Chuanchu Wang
IPC分类号： H04B3/46 , G06F3/01 , A61B5/0484 , G05B15/02
摘要： A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.
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