公开(公告)号：US20180038954A1

公开(公告)日：2018-02-08

申请号：US15552225

申请日：2016-02-16

Applicant: Tata Consultancy Services Limited

Inventor： Parijat DESHPANDE ,  Ramu VEMPADA ,  Ranjan DASGUPTA ,  Arpan PAL ,  Dibyendu ROY

IPC: G01S15/52 ,  G08B29/18 ,  G08B13/16

CPC classification number: G08B13/1672 ,  G01N2291/045 ,  G01N2291/26 ,  G01S15/523 ,  G08B13/1636 ,  G08B13/1681 ,  G08B29/186

Abstract: An acoustic array system for anomaly detection is provided. The acoustic array system (100) performs a scan (or a progressive scan of frequencies) of a given volume by transmitting one or more signals, and receives one or more reflected signals from objects within the volume. The reflected signals are then amplified and converted to a set of digital signals. Features of the set of digital signals are extracted both in time and frequency domains. The acoustic array system (100) further performs a comparison of these set of digital extracted features with the reflected signals via machine learning techniques. Based on the comparison, the acoustic array system detects one or more anomalies.

公开(公告)号：US20200240833A1

公开(公告)日：2020-07-30

申请号：US16750122

申请日：2020-01-23

Applicant: Tata Consultancy Services Limited

Inventor： Dibyendu ROY ,  Tapas Chakravarty ,  Arpan Pal ,  Archan Misra

IPC: G01H9/00 ,  H04N5/235

Abstract: This disclosure relates to monitoring of machines having one or more vibrating objects. Conventional systems that address the technical problem of detecting frequency of vibrating objects are expensive, require manual intervention, sometimes depend on prior knowledge of location of faults or involve high convergence time. Systems and methods of the present disclosure provide a cost-effective and fully automated solution that employ multiple strobe sources along with a low cost camera. Besides being cost-effective and automated, the solution also reduces convergence time significantly. Employing multiple strobe sources enables generating multiple strobing frequencies in a single iteration. The strobing frequency is a configured to be a multiple of a camera frame rate selected from a set of camera frame rates having mutually prime elements to ensure faster convergence compared to the art.

公开(公告)号：US20210157887A1

公开(公告)日：2021-05-27

申请号：US17044299

申请日：2019-02-18

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Dibyendu ROY ,  Arijit CHOWDHURY ,  Arijit SINHARAY ,  Avik GHOSE

IPC: G06F21/32 ,  G06F21/31 ,  G06N20/10

Abstract: This disclosure relates generally to a method and system for online handwritten signature verification providing a simpler low cost system. The method comprises extracting signature data for the subject from a sensor array for the predefined time window at regular predefined time instants. Further, differentiating the matrix row wise and column wise to generate a row difference matrix and a column difference matrix. Further, determining an idle signature time fraction for the extracted signature data of the subject being monitored from the column difference matrix. Further, determining a plurality of signature parameters based on the row difference matrix and the column difference matrix. Further, analyzing the idle signature time fraction and the plurality of signature parameters of the subject being monitored based on a Support Vector Machine (SVM) classifier, wherein the SVM classifier performs online classification of the extracted signature data into one of a matching signature class and a non-matching signature class.

公开(公告)号：US20190323882A1

公开(公告)日：2019-10-24

申请号：US16248646

申请日：2019-01-15

Applicant: Tata Consultancy Services Limited

Inventor： Arijit SINHARAY ,  Raj RAKSHIT ,  Dibyendu ROY ,  Tapas CHAKRAVARTY ,  Balamuralidhar PURUSHOTHAMAN

IPC: G01H9/00 ,  G01S13/50 ,  G01S15/50 ,  G01S17/50 ,  G01N29/46

Abstract: This disclosure relates generally to methods and systems for unobtrusive and automated detection of frequencies of spatially located distinct parts of a machine. Location of vibration and detection of vibration frequency of each vibrating part in a machine is critical for routine monitoring and fault detection in the machine. Current solutions use either high frames per second (fps) industrial grade camera or stroboscopes tuned at one particular frequency. Manual stroboscopes require manual intervention for objects moving at different speeds with high convergence time. Point-lasers need prior knowledge of exact location of faults. Also Point-by-point scanning of a large machine body is time consuming. In the present disclosure, a movement detector such as RADAR enables detecting all vibration frequencies that also serve to reduce the search space of a stroboscope configured to start strobing at each detected vibration frequency to enable mapping of each vibration frequency to a corresponding vibrating part.

公开(公告)号：US20240366150A1

公开(公告)日：2024-11-07

申请号：US18633767

申请日：2024-04-12

Applicant: Tata Consultancy Services Limited

Inventor： Sakyajit BHATTACHARYA ,  Dibyendu ROY ,  Aniruddha SINHA ,  Avik GHOSE ,  Varsha SHARMA ,  Oishee MAZUMDER

IPC: A61B5/00 ,  A61B5/332 ,  A61B5/346 ,  G16H40/67 ,  G16H50/30 ,  G16H50/50

Abstract: It is important to monitor the cardiac condition of an individual outside the clinic, using wearable physiological sensors. However, existing methods for calculating the cardiac risk score of an individual are primarily based on static information like individual's metadata, lifestyle, family history, clinical assessment, etc. but do not consider the cardiac state in a daily living scenario using wearable-based measurements. Embodiments herein provide a method and a system for determining post-exercise cardiac score in a recovery period using personalized cardiac model. A clinical decision support system (CDSS) is disclosed to predict cardiac recovery score of a subject in post-exercise conditions. The system employs a hybrid approach using a computational cardiac model and wearable data. Further, several personalized cardiac parameters are simulated using a cardiovascular simulation (CVS) platform. These parameters are used along with the wearable ECG data and meta-data information to derive the post-exercise recovery score.

公开(公告)号：US20210027895A1

公开(公告)日：2021-01-28

申请号：US16809964

申请日：2020-03-05

Applicant: Tata Consultancy Services Limited

Inventor： Oishee MAZUMDER ,  Dibyendu ROY ,  Sakyajit BHATTACHARYA ,  Aniruddha SINHA ,  Arpan PAL

IPC: G16H50/50 ,  A61B5/024 ,  A61B5/00 ,  A61B5/0225 ,  A61B5/02 ,  G06F30/28

Abstract: The disclosure relates to digital twin of cardiovascular system called as cardiovascular model to generate synthetic Photoplethysmogram (PPG) signal pertaining to disease conditions. The conventional methods are stochastic model capable of generating statistically equivalent PPG signals by utilizing shape parameterization and a nonstationary model of PPG signal time evolution. But these technique generates only patient specific PPG signatures and do not correlate with pathophysiological changes. Further, these techniques like most synthetic data generation techniques lack interpretability. The cardiovascular model of the present disclosure is configured to generate the plurality of synthetic PPG signals corresponding to the plurality of disease conditions. The plurality of synthetic PPG signals can be used to tune Machine Learning algorithms. Further, the plurality of synthetic PPG signals can be utilized to understand, analyze and classify cardiovascular disease progression.

公开(公告)号：US20210342641A1

公开(公告)日：2021-11-04

申请号：US17196406

申请日：2021-03-09

Applicant: Tata Consultancy Services Limited

Inventor： Sakyajit BHATTACHARYA ,  Oishee MUZUMDER ,  Aniruddha SINHA ,  Dibyendu ROY ,  Avik GHOSE

IPC: G06K9/62 ,  G16H50/70 ,  G16H50/20 ,  G06K9/00

Abstract: State of the art systems and methods attempting to generate synthetic biosignals such as PPG generate patient specific PPG signatures and do not correlate with pathophysiological changes. Embodiments herein provide a method and system for generating synthetic time domain signals to build a classifier. The synthetic signals are generated using statistical explosion. Initially, a parent dataset of actual sample data of class and non-class subjects is identified, and statistical features are extracted. Kernel density estimate (KDE) is used to vary the feature distribution and create multiple data template from a single parent signal. PPG signal is again reconstructed from the distribution pattern using non-parametric techniques. The generated synthetic data set is used to build the two stage cascaded classifier to classify CAD and Non CAD, wherein the classifier design enables reducing bias towards any class.

公开(公告)号：US20210280319A1

公开(公告)日：2021-09-09

申请号：US17149059

申请日：2021-01-14

Applicant: Tata Consultancy Services Limited

Inventor： Dibyendu ROY ,  Oishee MAZUMDER ,  Aniruddha SINHA ,  Sundeep KHANDELWAL

IPC: G16H50/50 ,  G16H50/70 ,  G16H40/67 ,  G16H70/60 ,  G16H20/30

Abstract: This disclosure provides a simulation platform to study and perform predictive analysis on valvular heart disease, Mitral stenosis (MS) and provides a control approach to correct hemodynamic imbalances during MS conditions. Conventional approaches of valve repair or replacement are often associated with risk of thromboembolism, need for anticoagulation, prosthetic endocarditis, and impaired left ventricle function. The cardiovascular hemodynamics model of the present disclosure helps to create ‘what if’ conditions to study variations in different hemodynamic parameters like blood flow, aortic and ventricular pressure, etc. during normal and pathological conditions. An adaptive control system in conjunction with the hemodynamic cardiovascular system (CVS) is provided to handle hemodynamic disbalance during moderate to severe MS conditions. The adaptive controller is hypothesized in line with the neuromodulation approach and modulates left ventricular contractility and vagal tone to counter the symptoms associated with MS.