公开(公告)号：US20170065191A1

公开(公告)日：2017-03-09

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

IPC: A61B5/021 ,  A61B5/02 ,  G01L9/00 ,  A61B5/00

CPC classification number: A61B5/02133 ,  A61B5/0022 ,  A61B5/02007 ,  A61B5/021 ,  A61B5/02108 ,  A61B5/6824 ,  A61B5/6828 ,  A61B5/6831 ,  A61B5/7225 ,  A61B5/7271 ,  A61B5/7278 ,  A61B5/743 ,  G01L9/008

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.

Abstract translation: 提供了使用非侵入性技术连续估计血压的方法和装置。 该方法涉及感测由桡动脉触诊产生的位移信号。 桡动脉被建模为圆柱形视力型粘弹性组织，用于估计个性化血压。 该模型包括位移信号和一组参数作为输入。 该组参数包括动脉平均半径，零mmHg处的半径，粘弹阻尼参数，动脉弹性和动脉壁厚度。 该方法涉及使用启发式优化技术优化参数集合，这有助于估计收缩压和舒张压。 该方法和装置还可以被个性化以个体化地监测和估计人的血压。

公开(公告)号：US20210290175A1

公开(公告)日：2021-09-23

申请号：US17203578

申请日：2021-03-16

Applicant: Tata Consultancy Services Limited

Inventor： Srinivasan JAYARAMAN ,  Joshin SAHADEVAN ,  Sundeep KHANDELWAL ,  Ponnuraj KIRTHI PRIYA

IPC: A61B5/00 ,  A61B5/0205 ,  G16H50/30 ,  G16H50/20 ,  G16H40/67

Abstract: Continuous monitoring of subject's cardiac system using biological signal(s) (BS) during day-to-day activities is essential for managing personal cardiac health/disorders, etc. Conventional systems/methods lack in improvising overall classification results and configured for specific device/signal say ECG or PPG and so on. Present disclosure provides systems and methods for classifying BS obtained from users, wherein BS are preprocessed to obtain filtered signals (FS). Corresponding feature extraction module is utilized for feature set extraction based on features in FS. The feature set is reduced and segmented into test and training data. Biological signal classification model(s) are generated using training data and a BCM is applied on test data to classify biological signals (BS) as one of Atrial Fibrillation (AF), a non-AF, a cardiac arrythmia disorder, or ischemia. Accelerometer features of connected device associated with the users can be obtained to detect activities which in conjunction with the BCM's output improvises above classification.

公开(公告)号：US20220406468A1

公开(公告)日：2022-12-22

申请号：US17741630

申请日：2022-05-11

Applicant: Tata Consultancy Services Limited

Inventor： Srinivasan JAYARAMAN ,  Ponnuraj Kirthi Priya

IPC: G16H50/50 ,  A61B5/00

Abstract: The ventricular myocardium in the heart is composed of three cell layer: endocardial, mid-myocardial and epicardial cells. A specific group of myocardial cells termed as M-cells exists in the deep sub-endocardium and mid-myocardium that have a longer action potential duration in comparison to other cell types. A method and system have been provided for analyzing cardiac activity by modelling myocardial cells (M-cells). The method comprises preparing a computational tool that will allow biologists to analyze and retrieve cardiac cellular information automatically and enable discovering of relationships between cellular and cardiovascular system utilizing the M-cells. The method is configured to understand how the properties of M-cells affect the generation of T-wave and how they contribute to arrhythmogenesis in short QT syndrome 2. Pseudo ECGs is created by exciting the tissue in order to analyze the morphology of the T-wave.

公开(公告)号：US20170143279A1

公开(公告)日：2017-05-25

申请号：US15356000

申请日：2016-11-18

Applicant: Tata Consultancy Services Limited

Inventor： Srinivasan JAYARAMAN ,  Naveen Kumar THOKALA ,  Balamuralidhar PURUSHOTHAMAN

IPC: A61B5/00 ,  A61B5/024

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.

公开(公告)号：US20160283856A1

公开(公告)日：2016-09-29

申请号：US15069632

申请日：2016-03-14

Applicant: Tata Consultancy Services Limited

Inventor： Srinivasan JAYARAMAN ,  Balamuralidhar Purushothaman

IPC: G06N7/00 ,  A61B5/00 ,  A61B5/024 ,  A61B5/18 ,  G06N5/04 ,  A61B5/16

CPC classification number: G06N7/005 ,  A61B5/024 ,  A61B5/165 ,  A61B5/18 ,  A61B5/6801 ,  A61B5/742 ,  A61B2560/0252 ,  G06N5/045 ,  G16H50/30

Abstract: A system for determining stress level of a person in real-time have been disclosed. In one aspect, the system captures physiological data associated to the person. In one embodiment, the physiological data may be captured by using a plurality of sensors attached at wrist or ankle or neck or waist or hip of the person, for a predetermined time interval. The plurality of sensors may include a wrist watch or a wristband or a textile material. The system further pre-processes the physiological data in order to extract one or more physiological parameters. In one aspect, the pre-processing may include performing an analysis on the physiological data. The system further determines the stress level of the person upon performing the statistical analysis on the one or more physiological parameters. According to another embodiment, a method for real time determination of stress level of the person has also been provided.

Abstract translation: 已经公开了一种用于确定人的压力水平的实时系统。 在一个方面，系统捕获与人相关联的生理数据。 在一个实施例中，生理数据可以通过使用附接在人的腕部或踝部，颈部或颈部或腰部或臀部上的多个传感器来捕获，预定的时间间隔。 多个传感器可以包括手表或腕带或纺织材料。 系统进一步预处理生理数据以便提取一个或多个生理参数。 在一个方面，预处理可以包括对生理数据进行分析。 该系统在对一个或多个生理参数进行统计分析时进一步确定人的压力水平。 根据另一实施例，还提供了一种用于实时确定人的压力水平的方法。