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公开(公告)号:US11219378B2
公开(公告)日:2022-01-11
申请号:US15255643
申请日:2016-09-02
Applicant: Tata Consultancy Services Limited
Inventor: Srinivasan Jayaraman , Balamuralidhar Purushothaman , Midhun P Unni , Aniruddha Sinha , Arpan Pal , Ramesh Kumar Ramakrishnan
Abstract: A method and device is provided for the continuous estimation of the blood pressure using a noninvasive technique. The method involves sensing of the displacement signal generated by the palpation of the radial artery. The radial artery is modelled as a cylindrical voight type viscoelastic tissue for the estimation of the personalized blood pressure. The model includes the displacement signal and a set of parameters as an input. The set of parameters include a mean radius of the artery, a radius at zero mmHg, a viscoelastic damping parameter, an elasticity of the artery and a thickness of wall of artery. The method involves the optimization of the set of parameters using heuristic optimization techniques, which helps in the estimation of the systolic and diastolic blood pressure. The method and device can also be personalized for individualized monitoring and estimation of the blood pressure of the person.
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公开(公告)号:US20170360351A1
公开(公告)日:2017-12-21
申请号:US15611953
申请日:2017-06-02
Applicant: Tata Consultancy Services Limited
CPC classification number: A61B5/165 , A61B5/0205 , A61B5/021 , A61B5/02416 , A61B5/02438 , A61B5/4884 , A61B5/6898 , A61B5/725 , A61B5/7267 , A61B5/7278 , G06F19/00 , G06N3/08 , G16H50/50
Abstract: A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.
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公开(公告)号:US20210153781A1
公开(公告)日:2021-05-27
申请号:US17072304
申请日:2020-10-16
Applicant: Tata Consultancy Services Limited
Abstract: This disclosure relates generally to a system and method for shoulder proprioceptive analysis of the person. The present disclosure monitors the shoulder joint motion by quantitative measure of range of motion (ROM) and kinesthesia of shoulder using a smart watch, thereby assessing the limit of active motion and the ability to passively reposition the arm in space. The present disclosure estimates the ROM, velocity, quality of joint movement, direction of hand movement using the sensor data captured by the smart watch. Further, the present disclosure provides a performance metrics of the shoulder function by comparing the shoulder motion before and after a prosthesis procedure. The present disclosure implements a rule engine-based approach classifying the shoulder/arm movement which includes flexion, extension, abduction, and adduction, internal and external rotation.
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公开(公告)号:US10881345B2
公开(公告)日:2021-01-05
申请号:US15611953
申请日:2017-06-02
Applicant: Tata Consultancy Services Limited
Abstract: A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.
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公开(公告)号:US10772569B2
公开(公告)日:2020-09-15
申请号:US15356000
申请日:2016-11-18
Applicant: Tata Consultancy Services Limited
Abstract: A device and method is provided for the detection of diabetes in a person using pulse palpation signals. The pulse palpation signal is captured from the radial artery of the person using a photo-plethysmograph (PPG) sensor. The PPG signal is then preprocessed by a processor. The preprocessed PPG signal is then analyzed by the processor to detect the peak in the PPG signal. The detected peaks are used to extract a first set of feature parameters. The first of feature parameters are compared with a second set of feature parameters, wherein the second set of feature parameters are extracted from the control group of individuals. Based on the comparison it is detected that the person is one of in normal condition, pre-diabetic condition or a diabetic condition. According to another embodiment, the invention also provides a method to determine the severity index and progression risk of diabetes in the person.
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公开(公告)号:US20160219047A1
公开(公告)日:2016-07-28
申请号:US14041301
申请日:2013-09-30
Applicant: Tata Consultancy Services Limited
Inventor: Srinivasan Jayaraman , Balamuralidhar Purushothaman
IPC: H04L29/06
CPC classification number: H04L63/0861 , A61B5/04842 , A61B5/117 , G06K9/00885 , G06K2009/00939 , H04L63/0428 , H04W12/06
Abstract: A system and a method for secure data communication over a network are described. In one embodiment, a method comprises generating a visual flashing code containing encrypted data, wherein the visual flashing code is transmitted to a user on a user device. Further, the method comprises obtaining real time biometric data of the user from at least one biometric device connected to the user device. Furthermore, the method comprises authenticating the user based on the real time biometric data. Upon authentication, the encrypted data is decrypted at the user device based on electroencephalogram (EEG) data obtained from an EEG device, wherein the EEG data.comprises brain signals indicative of brain activity of the user corresponding to the visual flashing code.
Abstract translation: 描述了一种通过网络进行安全数据通信的系统和方法。 在一个实施例中,一种方法包括生成包含加密数据的视觉闪烁代码,其中将视觉闪烁代码发送到用户设备上的用户。 此外,该方法包括从连接到用户设备的至少一个生物测定设备获得用户的实时生物特征数据。 此外,该方法包括基于实时生物特征数据认证用户。 在认证时,基于从EEG设备获得的脑电图(EEG)数据,在用户设备处对加密的数据进行解密,其中EEG数据包括指示与视觉闪烁代码对应的用户的大脑活动的脑信号。
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公开(公告)号:US20140046144A1
公开(公告)日:2014-02-13
申请号:US13965523
申请日:2013-08-13
Applicant: Tata Consultancy Services Limited
Inventor: Srinivasan Jayaraman , Kriti Kumar , Balamuralidhar Purushothaman
IPC: A61B5/16
CPC classification number: A61B5/165 , A61B5/0006 , A61B5/0077 , A61B5/0205 , A61B5/02405 , A61B5/0245 , A61B5/0456 , A61B5/1116 , A61B5/486 , A61B5/7253 , A61B5/7264 , A61B2503/24 , A61B2576/00 , G06K9/0053 , G06K2009/00939
Abstract: The present subject matter relates to a computer implemented method for real time determination of stress levels of an individual. The method includes receiving at least one stream of physiological data from at least one primary sensor for a predetermined duration, and preprocessing the at least one stream of physiological data to extract physiological parameters, where the preprocessing includes performing a preliminary analysis on the at least one stream of physiological data. The method further includes determining a stress level of the individual based on at least the physiological parameters, wherein the determining comprises performing a statistical analysis on the physiological parameters.
Abstract translation: 本主题涉及一种用于实时确定个人的压力水平的计算机实现方法。 该方法包括从至少一个主传感器接收至少一个生理数据流预定的持续时间,以及预处理所述至少一个生理数据流以提取生理参数,其中所述预处理包括对所述至少一个 生理数据流。 该方法还包括基于至少生理参数来确定个体的压力水平,其中确定包括对生理参数进行统计分析。
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公开(公告)号:US20130159041A1
公开(公告)日:2013-06-20
申请号:US13716800
申请日:2012-12-17
Applicant: Tata Consultancy Services Limited
Inventor: Srinivasan Jayaraman , Balamuralidhar Purushothaman
IPC: G08B21/02
CPC classification number: G08B21/02 , A61B5/0022 , A61B5/0402 , A61B5/0476 , A61B5/0488 , A61B5/1112 , A61B5/18 , A61B5/7257 , G06F19/00 , G06Q10/063114 , G06Q10/06314 , G08B21/06 , G16H40/67
Abstract: Systems and methods for determining an actual fatigue time (AFT) for an activity are provided. The method comprises receiving a standard fatigue time (SFT) representing a time duration. The SFT is indicative of an onset of fatigue in individuals upon continuously performing the activity. The method further comprises receiving at least one external parameter and a fatigue index corresponding to the at least one external parameter. The at least one external parameter and the fatigue index are associated with the activity. The method further comprises determining the AFT for the activity based upon the SFT and the fatigue index.
Abstract translation: 提供了用于确定活动的实际疲劳时间(AFT)的系统和方法。 该方法包括接收表示持续时间的标准疲劳时间(SFT)。 SFT表示持续进行活动后个体发生疲劳。 所述方法还包括接收与所述至少一个外部参数对应的至少一个外部参数和疲劳指数。 至少一个外部参数和疲劳指数与活动相关联。 该方法还包括基于SFT和疲劳指数确定活动的AFT。
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