公开(公告)号：US11263450B2

公开(公告)日：2022-03-01

申请号：US16264786

申请日：2019-02-01

Applicant: Tata Consultancy Services Limited

Inventor： Soma Bandyopadhyay ,  Arijit Ukil ,  Chetanya Puri ,  Rituraj Singh ,  Arpan Pal ,  C A Murthy

IPC: G06K9/00 ,  G06K9/62 ,  A61B5/0452 ,  A61B5/349

Abstract: The present disclosure addresses the technical problem of information loss while representing a physiological signal in the form of symbols and for recognizing patterns inside the signal. Thus making it difficult to retain or extract any relevant information which can be used to detect anomalies in the signal. A system and method for anomaly detection and discovering pattern in a signal using morphology aware symbolic representation has been provided. The system discovers pattern atoms based on the strictly increasing and strictly decreasing characteristics of the time series physiological signal, and generate symbolic representation in terms of these pattern atoms. Additionally the method possess more generalization capability in terms of granularity. This detects discord/abnormal phenomena with consistency.

公开(公告)号：US10019595B2

公开(公告)日：2018-07-10

申请号：US14761367

申请日：2013-12-26

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Ukil ,  Joel Joseph ,  Vijayanand Banahatti ,  Sachin Lodha

IPC: G06F21/62

CPC classification number: G06F21/6245

Abstract: A system and method enabling information access control of the sensitive information, based on a trust computing platform is provided. The trustworthiness of the information seekers is computed and accordingly the information owner is capacitated to decide upon sharing the information completely or sharing with some perturbation. The objective is to provide the information owner with the ability to decide on sharing its private data with respect to a parameter so that the decision is less subjective. This invention allows minimum leakage of sensitive data and makes information owner aware of the risk of privacy breach when private data is shared.

公开(公告)号：US20170258342A1

公开(公告)日：2017-09-14

申请号：US15453479

申请日：2017-03-08

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Ukil ,  Soma Bandyopadhyay ,  Chetanya Puri ,  Arpan Pal ,  Kayapanda Mandana

IPC: A61B5/024

CPC classification number: A61B5/02416 ,  A61B5/7221 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/7282 ,  G06F19/00

Abstract: A method and system of detecting arrhythmia using photoplethysmogram (PPG) signal is provided. The method is performed by extracting photoplethysmogram (PPG) signals from a patient, extracting cardiac parameter from the extracted photoplethysmogram (PPG) signals, identifying presence of cardiac abnormalities as reinforcement filtering of detecting premature ventricular contraction and ventricular flutter from the extracted cardiac parameters, analysing the extracted cardiac parameters to investigate statistical trend and to perform statistical closeness approximation of the extracted photoplethysmogram (PPG) signals and predicting and subsequently classifying type of arrhythmia.

公开(公告)号：US11589760B2

公开(公告)日：2023-02-28

申请号：US15828540

申请日：2017-12-01

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Ukil ,  Soma Bandyopadhyay ,  Chetanya Puri ,  Rituraj Singh ,  Arpan Pal ,  Debayan Mukherjee

IPC: A61B5/024 ,  G16H50/20 ,  G06F16/783 ,  A61B34/10 ,  A61B7/04 ,  H04R29/00

Abstract: This disclosure relates generally to physiological monitoring, and more particularly to feature set optimization for classification of physiological signal. In one embodiment, a method for physiological monitoring includes identifying clean physiological signal training set from an input physiological signal based on a Dynamic Time Warping (DTW) of segments associated with the physiological signal. An optimal features set is extracted from a clean physiological signal training set based on a Maximum Consistency and Maximum Dominance (MCMD) property associated with the optimal feature set that strictly optimizes on the objective function, the conditional likelihood maximization over different selection criteria such that diverse properties of different selection parameters are captured and achieves Pareto-optimality. The input physiological signal is classified into normal signal components and abnormal signal components using the optimal features set.

公开(公告)号：US20220092474A1

公开(公告)日：2022-03-24

申请号：US17366810

申请日：2021-07-02

Applicant: Tata Consultancy Services Limited

Inventor： Tanushyam Chattopadhyay ,  Arijit Ukil ,  Avijit Sur ,  Prateep Misra ,  Arpan Pal ,  Soma Bandyopadhyay

IPC: G06N20/00 ,  G06F16/28

Abstract: Conventionally, applying analytics on dataset is the scarcity of labelled data. With increase of data there is cost fact effecting nature of servicing required for data (e.g., cost in terms of resource and time and effort is high for data annotation). Though data is analysed, it may be prone to error. Present disclosure provides systems/methods for reducing volume of data to be annotated for time series data thereby reducing time and effort of resources, thus resulting in effective utilization of system's resources (e.g., memory, processor, etc.). More specifically, the method of the present disclosure adaptively modifies the volume of the data to be annotated based on the performance of the unsupervised learning method applied in the system. Moreover, in the absence of an annotation mechanism for clusters of time series data, meta data associated with the time series data is utilized for annotation and validation of dataset.

公开(公告)号：US11062047B2

公开(公告)日：2021-07-13

申请号：US14900061

申请日：2014-06-09

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Mukherjee ,  Soma Bandyopadhyay ,  Arijit Ukil ,  Abhijan Bhattacharyya ,  Swarnava Dey ,  Arpan Pal ,  Himadri Sekhar Paul

IPC: G06F9/50 ,  H04L29/06 ,  G06F21/62 ,  H04L12/26 ,  H04L29/08 ,  H04L9/00 ,  H04W12/02

Abstract: This disclosure relates generally to the use of distributed system for computation, and more particularly, relates to a method and system for optimizing computation and communication resource while preserving security in the distributed device for computation. In one embodiment, a system and method of utilizing plurality of constrained edge devices for distributed computation is disclosed. The system enables integration of the edge devices like residential gateways and smart phone into a grid of distributed computation. The edged devices with constrained bandwidth, energy, computation capabilities and combination thereof are optimized dynamically based on condition of communication network. The system further enables scheduling and segregation of data, to be analyzed, between the edge devices. The system may further be configured to preserve privacy associated with the data while sharing the data between the plurality of devices during computation.

公开(公告)号：US10548533B2

公开(公告)日：2020-02-04

申请号：US15456112

申请日：2017-03-10

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Arijit Ukil ,  Soma Bandyopadhyay ,  Chetanya Puri ,  Arpan Pal ,  Kayapanda Mandana

IPC: A61B5/00 ,  G16H50/20 ,  G16H50/30 ,  A61B5/024

Abstract: A method and system for removing corruption in photoplethysmogram (PPG) signals for monitoring cardiac health of patients is provided. The method is performed by extracting photoplethysmogram signals from the patient, detecting and eliminating corruption caused by larger and transient disturbances in the extracted photoplethysmogram signals, segmenting photoplethysmogram signals post detection and elimination of corruption caused by larger and transient disturbances, identifying of inconsistent segments from the segmented photoplethysmogram signals, detecting anomalies from the identified inconsistent segments of the photoplethysmogram signals, analysing the detected anomalies of the photoplethysmogram signals and identifying photoplethysmogram signal segments corrupted by smaller and prolonged disturbances.

公开(公告)号：US10172528B2

公开(公告)日：2019-01-08

申请号：US15467789

申请日：2017-03-23

Applicant: Tata Consultancy Services Limited

Inventor： Soma Bandyopadhyay ,  Arijit Ukil ,  Chetanya Puri ,  Rituraj Singh ,  Arpan Pal ,  C A Murthy ,  Kayapanda Mandana

IPC: A61B5/04 ,  A61B5/024 ,  A61B5/00 ,  A61B5/0245 ,  A61B5/0402 ,  A61B5/0456 ,  A61B5/046 ,  A61B5/0468 ,  A61B5/021

Abstract: This disclosure relates generally to biomedical signal processing, and more particularly to method and system for physiological parameter derivation from pulsating signals with reduced error. In this method, pulsating signals are extracted, spurious perturbations in the extracted pulsating signals are removed for smoothening, local minima points in the smoothened pulsating signal are derived, systolic maxima point between two derived local minima are derived, most probable pulse duration and most probable peak-to-peak distance are derived, dicrotic minima is removed while ensuring that every dicrotic minima is preceded by a systolic maxima point and followed by a beat start point of said systolic maxima, diastolic peak is derived while ensuring that every dicrotic maxima is preceded by a diastolic notch followed by next beat start point of that maxima, and physiological parameters are derived from the derived local minima points, systolic maxima points, dicrotic notch and diastolic peak.

公开(公告)号：US09978392B2

公开(公告)日：2018-05-22

申请号：US15456172

申请日：2017-03-10

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Ukil ,  Soma Bandyopadhyay ,  Chetanya Puri ,  Arpan Pal ,  Rituraj Singh ,  Ayan Mukherjee ,  Debayan Mukherjee

IPC: G10L25/84 ,  G10L25/78 ,  G10L25/93 ,  G10L21/0232 ,  G10L15/06 ,  G10L15/02

CPC classification number: G10L21/0232 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7267 ,  A61B7/00 ,  G06K9/00496 ,  G10L15/02 ,  G10L15/063 ,  G10L25/84 ,  G10L2025/786 ,  G10L2025/935

Abstract: Traditionally known classification methods of non-stationary physiological audio signals as noisy and clean involve human intervention, may involve dependency on particular type of classifier and further analyses is carried out on classified clean signals. However, in non-stationary audio signals a major portion may end up being classified as noisy and hence may get rejected which may cause missing of intelligence which could have been derived from lightly noisy audio signals that may be critical. The present disclosure enables automation of classification based on auto-thresholding and statistical isolation wherein noisy signals are further classified as highly noisy and lightly noisy through continuous dynamic learning.

公开(公告)号：US11887730B2

公开(公告)日：2024-01-30

申请号：US16526340

申请日：2019-07-30

Applicant: Tata Consultancy Services Limited

Inventor： Avik Ghose ,  Arpan Pal ,  Sundeep Khandelwal ,  Rohan Banerjee ,  Sakyajit Bhattacharya ,  Soma Bandyopadhyay ,  Arijit Ukil ,  Dhaval Satish Jani

IPC: G16H50/20 ,  G16H50/70 ,  G06N3/043 ,  G06N20/00

CPC classification number: G16H50/20 ,  G06N3/043 ,  G16H50/70 ,  G06N20/00

Abstract: This disclosure relates generally to methods and systems for unobtrusive digital health assessment of high risk subjects, wherein bio-markers pertaining to a disease are identified automatically using physical activity and physiology monitoring on a continuous basis. Identification of bio-markers in the medical domain is conventionally dependent on insights derived from medical tests which are obtrusive in nature. Systems and methods of the present disclosure integrate physical characteristics, lifestyle habits and prevailing medical conditions with monitored physical activities and physiological measurements to assess health of high risk subjects. Systems and methods of the present disclosure also enable automatic generation of control class and treatment class that may be effectively used for health assessment.