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1. 发明授权

US10499823B2 Selection of electroencephalography (EEG) channels valid for determining cognitive load of a subject 有权
公开(公告)号：US10499823B2
公开(公告)日：2019-12-10
申请号：US14665476
申请日：2015-03-23
申请人： Tata Consultancy Services Limited
发明人： Arijit Sinharay , Aniruddha Sinha , Diptesh Das , Debatri Chatterjee
IPC分类号： A61B5/04 , A61B5/0476 , A61B5/00 , A61B5/16
CPC分类号： A61B5/04014 , A61B5/0476 , A61B5/165 , A61B5/7221 , A61B5/0006 , A61B5/4088 , A61B2560/0475
摘要： Disclosed is a method and system for selection of Electroencephalography (EEG) channels valid for determining cognitive load of subject. According to one embodiment, EEG signals are obtained from EEG channels associated with subject performing cognitive tasks are received. Time-frequency features of EEG signals are extracted for a frequency band comprise maximum energy value, minimum energy value, average energy value, maximum frequency value, minimum frequency value, and average frequency value. Weight of an EEG channel associated with time-frequency feature is derived using statistical learning technique. Binary values for EEG channels corresponding to time-frequency feature are assigned using weight of EEG channel associated with time-frequency feature. Intersections of binary values of EEG channels corresponding to maximum energy value and average energy value, minimum energy value and average energy value, maximum frequency value and average frequency value, and minimum frequency value and average frequency value are computed. Unions of intersections are computed, wherein the unions represent EEG channels valid to determine cognitive load of subject.

2. 发明授权

US11771353B2 Stress level monitoring of users using a respiratory signal and alerting thereof 有权
公开(公告)号：US11771353B2
公开(公告)日：2023-10-03
申请号：US16934553
申请日：2020-07-21
申请人： Tata Consultancy Services Limited
发明人： Anwesha Khasnobish , Arijit Chowdhury , Tanushree Banerjee , Debatri Chatterjee
IPC分类号： A61B5/00 , A61B5/16 , G16H50/30 , A61B5/08
CPC分类号： A61B5/165 , A61B5/08 , A61B5/7225 , A61B5/7267 , A61B5/746 , G16H50/30
摘要： Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. Embodiments of the present disclosure utilize respiration signals to decipher mental states wherein non-linear baseline drifts in signal is implemented to extract the respiratory features in most effective way. Presence of class imbalance, is effectively rectified using Synthetic Minority Oversampling Technique (SMOTE) to resolve class imbalance problem, which not only increased the classification accuracy, but also reduced classifier bias towards the majority class, which in turn exceedingly enhanced the classifier sensitivity.

3. 发明授权

US12002568B2 Analyzing effect of a secondary cognitive load task on a primary executive task 有权
公开(公告)号：US12002568B2
公开(公告)日：2024-06-04
申请号：US16662797
申请日：2019-10-24
申请人： Tata Consultancy Services Limited
发明人： Rahul Dasharath Gavas , Debatri Chatterjee , Aniruddha Sinha , Sanjoy Kumar Saha
IPC分类号： A61B3/113 , A61B3/02 , A61B3/10 , A61B3/12 , A61B5/16 , G06F7/58 , G16H20/70
CPC分类号： G16H20/70 , A61B3/113 , A61B5/162 , A61B5/163 , G06F7/588 , A61B5/168
摘要： This disclosure relates to analyzing effect of a secondary cognitive load task on a primary executive task. Human random sequence generation is a marker to study cognitive functions and inability to generate random sequences (RS) can reveal underlying impairments. Traditionally, ‘call out’ or ‘write down’ procedures are used to obtain human generated numbers, wherein short term memory and number of previously generated entities visible to a subject plays a major role. Also precise trial-wise or response-wise analysis may not be possible. In the present disclosure, the human generated random numbers are digitized into RS and a cognitive load (CL) inducing task is imposed on the executive task. The CL demanding task disrupts randomization performance. Deviation from randomness, load index based on gaze data and deviation from pupillometry data of healthy subjects are provided as indicators of an interference effect imposed by the CL and thereby indicative of underlying impairments.

4. 发明授权

US11872040B2 Method and system for assessment of cognitive load from bio-potentials measured using wearable endosomatic device 有权
公开(公告)号：US11872040B2
公开(公告)日：2024-01-16
申请号：US17136899
申请日：2020-12-29
申请人： Tata Consultancy Services Limited
发明人： Debatri Chatterjee , Dibyanshu Jaiswal , Arpan Pal , Ramesh Kumar Ramakrishnan , Ratna Ghosh , Madhurima Moulick , Rajesh Ranjan
IPC分类号： A61B5/16 , G16H10/60 , G16H50/70 , G06N20/00 , A61B5/0533 , A61B5/00 , G16H40/67
CPC分类号： A61B5/165 , A61B5/0533 , A61B5/7267 , A61B5/7278 , G06N20/00 , G16H10/60 , G16H40/67 , G16H50/70
摘要： Direct usage of endosomatic EDA has multiple challenges for practical cognitive load assessment. Embodiments of the method and system disclosed provide a solution to the technical challenges in the art by directly using the bio-potential signals to implement endosomatic approach for assessment of cognitive load. The method utilizes a multichannel wearable endosomatic device capable of acquiring and combining multiple bio-potentials, which are biomarkers of cognitive load experienced by a subject performing a cognitive task. Further, extracts information for classification of the cognitive load, from the acquired bio-signals using a set of statistical and a set of spectral features. Furthermore, utilizes a feature selection approach to identify a set of optimum features to train a Machine Learning (ML) based task classifier to classify the cognitive load experienced by a subject into high load task and low load task.

5. 发明授权

US11596328B2 Method and system for postural stability assessment 有权
公开(公告)号：US11596328B2
公开(公告)日：2023-03-07
申请号：US15914286
申请日：2018-03-07
申请人： Tata Consultancy Services Limited
发明人： Oishee Mazumder , Kingshuk Chakravarty , Debatri Chatterjee , Aniruddha Sinha , Abhijit Das
IPC分类号： A61B5/11 , A61B5/00 , G16H50/20 , G16H50/30
摘要： This disclosure relates generally to health monitoring and assessment systems, and more particularly to perform postural stability assessment of a user and quantify the assessed postural stability. In an embodiment, the system, by monitoring specific actions (which are part of certain tests done for the postural stability assessment) being performed by a user, collects inputs which are then processed to determine SLS duration, the body joint vibration, and the body sway area of the user, while performing the tests. By processing the SLS duration, the body joint vibration, and the body sway area together, a postural stability index score for the user is determined, and based on this score, postural stability assessment for the user is performed.

6. 发明申请

US20160242699A1 SYSTEM AND METHOD FOR EVALUATING A COGNITIVE LOAD ON A USER CORRESPONDING TO A STIMULUS 审中-公开
标题翻译：用于评估用户对于刺激性的认知负载的系统和方法
公开(公告)号：US20160242699A1
公开(公告)日：2016-08-25
申请号：US15023314
申请日：2014-09-12
申请人： TATA CONSULTANCY SERVICES LIMITED
发明人： Diptesh Das , Debatri Chatterjee , Arijit Sinharay , Aniruddha Sinha
IPC分类号： A61B5/00 , A61B5/0476 , A61B5/048
摘要： System and method for evaluating a cognitive load on a user, corresponding to a stimulus is disclosed. Electroencephalogram (EEG) data corresponding to the stimulus of a user is received. The stimulus corresponds to a mental task performed by the user. The EEG data is split into a plurality of slots. A slot of the plurality of slots comprises a subset of the EEG data. One or more EEG features are extracted from the subset of the EEG data. The one or more EEG features are represented in one of a frequency domain and a time domain. A plurality of data points present in the one or more EEG features is grouped into two or more clusters using an unsupervised learning technique. The two or more clusters comprise one or more data points of the plurality of data points. The one or more data points correspond to a level of the cognitive load.
摘要翻译：公开了用于评估对应于刺激的用户的认知负荷的系统和方法。接收与用户的刺激对应的脑电图（EEG）数据。刺激对应于用户执行的心理任务。 EEG数据被分成多个时隙。多个时隙中的时隙包括EEG数据的子集。从EEG数据的子集中提取一个或多个EEG特征。一个或多个EEG特征在频域和时域之一中表示。存在于一个或多个EEG特征中的多个数据点使用无监督学习技术被分组为两个或更多个簇。两个或更多个簇包括多个数据点中的一个或多个数据点。一个或多个数据点对应于认知负荷的水平。

7. 发明申请

US20160128593A1 SELECTION OF ELECTROENCEPHALOGRAPHY (EEG) CHANNELS VALID FOR DETERMINING COGNITIVE LOAD OF A SUBJECT 审中-公开
标题翻译：选择电子密度（EEG）通道有效确定主体的认知负荷
公开(公告)号：US20160128593A1
公开(公告)日：2016-05-12
申请号：US14665476
申请日：2015-03-23
申请人： Tata Consultancy Services Limited
发明人： Arijit Sinharay , Aniruddha Sinha , Diptesh Das , Debatri Chatterjee
IPC分类号： A61B5/04 , A61B5/00 , A61B5/0476
CPC分类号： A61B5/04014 , A61B5/0006 , A61B5/0476 , A61B5/165 , A61B5/4088 , A61B5/7221 , A61B2560/0475
摘要： Disclosed is a method and system for selection of Electroencephalography (EEG) channels valid for determining cognitive load of subject. According to one embodiment, EEG signals are obtained from EEG channels associated with subject performing cognitive tasks are received. Time-frequency features of EEG signals are extracted for a frequency band comprise maximum energy value, minimum energy value, average energy value, maximum frequency value, minimum frequency value, and average frequency value. Weight of an EEG channel associated with time-frequency feature is derived using statistical learning technique. Binary values for EEG channels corresponding to time-frequency feature are assigned using weight of EEG channel associated with time-frequency feature. Intersections of binary values of EEG channels corresponding to maximum energy value and average energy value, minimum energy value and average energy value, maximum frequency value and average frequency value, and minimum frequency value and average frequency value are computed. Unions of intersections are computed, wherein the unions represent EEG channels valid to determine cognitive load of subject.
摘要翻译：公开了用于选择有效用于确定受试者的认知负荷的脑电图（EEG）通道的方法和系统。根据一个实施例，从接收到执行认知任务的对象相关联的EEG信道获得EEG信号。为包括最大能量值，最小能量值，平均能量值，最大频率值，最小频率值和平均频率值的频带提取EEG信号的时频特征。使用统计学习技术导出与时频特征相关的脑电信道的权重。对应于时频特征的EEG频道的二进制值使用与时频特征相关的EEG频道的权重来分配。计算与最大能量值和平均能量值，最小能量值和平均能量值，最大频率值和平均频率值以及最小频率值和平均频率值对应的EEG频道的二进制值的交点。计算交叉点的联合，其中工会代表有效确定受试者的认知负荷的EEG通道。

8. 发明授权

US11992316B2 System and method for eye-blink based assessment of sustained visual attention of a target 有权
公开(公告)号：US11992316B2
公开(公告)日：2024-05-28
申请号：US17213371
申请日：2021-03-26
申请人： Tata Consultancy Services Limited
发明人： Rahul Dasharath Gavas , Mithun Basaralu Sheshachala , Debatri Chatterjee , Ramesh Kumar Ramakrishnan , Venkata Subramanian Viraraghavan , Achanna Anil Kumar , Girish Mariswamy Chandra
IPC分类号： A61B5/16 , A61B5/00
CPC分类号： A61B5/163 , A61B5/0075 , A61B5/0077
摘要： This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.

9. 发明授权

US11523761B2 Method and system for assessment of cognitive workload using breathing pattern of a person 有权
公开(公告)号：US11523761B2
公开(公告)日：2022-12-13
申请号：US16889871
申请日：2020-06-02
申请人： Tata Consultancy Services Limited
发明人： Dibyanshu Jaiswal , Debatri Chatterjee , Arijit Chowdhury , Rahul Gavas , Tanushree Banerjee
IPC分类号： A61B5/16 , A61B5/024 , A61B5/08 , A61B5/00
摘要： This disclosure relates generally to assessment of cognitive workload using breathing pattern of a person, where cognitive workload is the amount of mental effort required while doing a task. The method and system provides assessment of cognitive workload based on breathing pattern extracted from photoplethysmograph (PPG) signal, which is collected from the person using a wearable device. The PPG signal collected using the wearable device are processed in multiple stages that include breathing signal extraction to extract breathing pattern. The extracted breathing pattern is used for assessment of cognitive workload using a generated personalized training model, wherein the personalized training model is generated and dynamically updated for each person based on selection of a sub-set of breathing pattern features using feature selection and classification techniques that include maximal information coefficient (MIC) techniques. Finally based on personalized training model, the extracted breathing pattern is classified as high cognitive workload or low cognitive workload.

10. 发明授权

US11468977B2 Method and system for interpreting neural interplay involving proprioceptive adaptation during a dual task paradigm 有权
公开(公告)号：US11468977B2
公开(公告)日：2022-10-11
申请号：US16587309
申请日：2019-09-30
申请人： Tata Consultancy Services Limited
发明人： Sangheeta Roy , Oishee Mazumder , Kingshuk Chakravarty , Debatri Chatterjee , Aniruddha Sinha
IPC分类号： G16H20/30 , G06F30/20 , A61B5/11 , A61B5/00 , A63B24/00 , G06F3/01 , A61B5/389
摘要： Collision avoidance and postural stability adjustment may provide an effective dual task paradigm to interpret the effect of proprioceptive adaptation on balance control. However, conventionally tasks are physical tasks performed under supervision in specific set up environments. Implementations of the present disclosure provide methods and systems for interpreting neural interplay involving proprioceptive adaptation in a lower limb during a dual task paradigm. The disclosed method provides a better interpreting of the neuronal mechanisms underlying adaptation and learning of skilled motor movement and to determine the relationship of lower limb proprioceptive sense and postural stability by simulating integration of a Single Limb Stance (SLS) functionality test for postural stability and a single limb collision avoidance task, in an adaptive Virtual Reality (VR) environment provided to a subject.

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