公开(公告)号：US20200069205A1

公开(公告)日：2020-03-05

申请号：US16557904

申请日：2019-08-30

Applicant: Tata Consultancy Services Limited

Inventor： Rohan BANERJEE ,  Sakyajit BHATTACHARYA ,  Soma BANDYOPADHYAY ,  Aniruddha SINHA

IPC: A61B5/04 ,  A61B5/0408 ,  A61B5/024

Abstract: Electrocardiography (ECG) signals contain important markers for Coronary Heart Disease (CHD). State of the art systems and methods rely on clinically available multi-lead ECG for CHD classification which is not cost effective. Moreover the state of the art methods are applied on digital ECG time series data only. Also, discriminative HRV markers are not often present in short ECG recordings necessitating long hours of ECG data to analyze. In accordance with the present disclosure, systems and methods described hereinafter extract ECG time series from ECG images obtained from commercially available low-cost single lead ECG devices through a combination of image and signal processing steps including Histogram analysis, Morphological operation-thinning, Extraction of lines, Extraction of Reference Pulse, Extraction of ECG and interpolating missing data. Further, domain independent statistical features such as self-similarity of raw ECG time series and average Maharaj's distance along with domain specific features are used for classifying CHD.

公开(公告)号：US20200012941A1

公开(公告)日：2020-01-09

申请号：US16506828

申请日：2019-07-09

Applicant: Tata Consultancy Services Limited

Inventor： Arijit UKIL ,  Soma BANDYOPADHYAY ,  Pankaj MALHOTRA ,  Arpan PAL ,  Lovekesh VIG ,  Gautam SHROFF ,  Tulika BOSE ,  Ishan SAHU ,  Ayan MUKHERJEE

IPC: G06N3/08 ,  G06N3/04

Abstract: The disclosure herein describes a method and a system for generating hybrid learning techniques. The hybrid learning technique refers to learning techniques that are a combination a plurality of techniques that include of deep learning, machine learning and signal processing to enable a rich feature space representation and classifier construction. The generation of the hybrid learning techniques also considers influence/impact of domain constraints that include business requirements and computational constraints, while generating hybrid learning techniques. Further from the plurality hybrid learning techniques a single hybrid learning technique is chosen based on performance matrix based on optimization techniques.

公开(公告)号：US20190332950A1

公开(公告)日：2019-10-31

申请号：US16396276

申请日：2019-04-26

Applicant: Tata Consultancy Services Limited

Inventor： Avik GHOSE ,  Arijit CHOWDHURY ,  Sakyajit BHATTACHARYA ,  Vivek CHANDEL ,  Arpan PAL ,  Soma BANDYOPADHYAY

IPC: G06N5/02 ,  G06N5/04 ,  G06K9/62 ,  G06F16/908 ,  G06F16/9035 ,  A61B5/00

Abstract: This disclosure relates generally to a unified platform for domain adaptable human behaviour inference. The platform provides a unified, low level inference and high level inference of domain adaptable human behaviour inference. The low level inferences include cross-sectional analysis techniques to infer location, activity, physiology. Further the high inference that provide useful and actionable for longitudinal tracking, prediction and anomaly detection is performed based on several longitudinal analysis techniques that include welch analysis, cross-spectrum analysis, Feature of interest (FOI) identification and time-series clustering, autocorrelation-based distance estimation and exponential smoothing, seasonal and non-seasonal models identification, ARIMA modelling, Hidden Markov models, Long short term memory (LSTM) along with low level inference, human meta-data and application domain knowledge. Further the unified human behaviour inference can be obtained across multiple domains that include health, retail and transportation.

公开(公告)号：US20190082988A1

公开(公告)日：2019-03-21

申请号：US15883712

申请日：2018-01-30

Applicant: Tata Consultancy Services Limited

Inventor： Shreyasi DATTA ,  Chetanya PURI ,  Ayan MUKHERJEE ,  Rohan BANERJEE ,  Anirban Dutta CHOUDHURY ,  Arijit UKIL ,  Soma BANDYOPADHYAY ,  Arpan PAL ,  Sundeep KHANDELWAL ,  Rituraj SINGH

IPC: A61B5/04 ,  A61B5/0452 ,  A61B5/00 ,  A61B5/0472 ,  A61B5/046

Abstract: Current technologies analyze electrocardiogram (ECG) signals for a long duration, which is not always a practical scenario. Moreover the current scenarios perform a binary classification between normal and Atrial Fibrillation (AF) only, whereas there are many abnormal rhythms apart from AF. Conventional systems/methods have their own limitations and may tend to misclassify ECG signals, thereby resulting in an unbalanced multi-label classification problem. Embodiments of the present disclosure provide systems and methods that are robust and more efficient for classifying rhythms for example, normal, AF, other abnormal rhythms and noisy ECG recordings by implementing a spectrogram based noise removal that obtains clean ECG signal from an acquired single-lead ECG signal, an optimum feature selection at each layer of classification that selects optimum features from a pool of extracted features, and a multi-layer cascaded binary classifier that identifies rhythms in the clean ECG signal at each layer of the classifier.

公开(公告)号：US20180153419A1

公开(公告)日：2018-06-07

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 ,  A61B7/04

CPC classification number: A61B5/02405 ,  A61B5/02444 ,  A61B7/04 ,  A61B34/10 ,  G06F16/7834 ,  G16H50/20 ,  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：US20170340211A1

公开(公告)日：2017-11-30

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: A61B5/024 ,  A61B5/046 ,  A61B5/0245 ,  A61B5/0402 ,  A61B5/00 ,  A61B5/0468 ,  A61B5/0456

CPC classification number: A61B5/024 ,  A61B5/0002 ,  A61B5/02108 ,  A61B5/02405 ,  A61B5/02416 ,  A61B5/02438 ,  A61B5/0245 ,  A61B5/0402 ,  A61B5/0456 ,  A61B5/046 ,  A61B5/0468 ,  A61B5/7203

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：US20170273632A1

公开(公告)日：2017-09-28

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 ,  A61B5/024

CPC classification number: A61B5/7207 ,  A61B5/0004 ,  A61B5/02416 ,  A61B5/6815 ,  A61B5/6826 ,  A61B5/6829 ,  A61B5/6898 ,  A61B5/7246 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/7278 ,  A61B2576/00 ,  G16H50/20 ,  G16H50/30

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：US20170055913A1

公开(公告)日：2017-03-02

申请号：US15208230

申请日：2016-07-12

Applicant: Tata Consultancy Services Limited

Inventor： Soma BANDYOPADHYAY ,  Arpan PAL ,  Arijit UKIL ,  Tulika BOSE ,  Chetanya PURI

IPC: A61B5/00 ,  A61B5/0402 ,  A61B5/0476 ,  A61B5/024

Abstract: The present subject matter discloses a system and a method for identifying information from sensor data in a sensor agnostic manner. The system may receive sensor data provided by a sensor and may determine statistical features of the sensor data. The system may determine signal dynamics of the sensor data based on at least one of the statistical features, signal processing features, and a data distribution model. The system may select at least one outlier class based on the signal dynamics, number of streams of the sensor data, and dimensions of the sensor data. The system may select at least one outlier detection method associated with an outlier class for detecting outliers in the sensor data. The system may determine information content of the sensor data based on the outliers, the signal dynamics, the statistical features, and information theoretic features, and similarity or dissimilarity measure.

Abstract translation: 本主题公开了一种用于以传感器不可知方式从传感器数据识别信息的系统和方法。 系统可以接收由传感器提供的传感器数据，并且可以确定传感器数据的统计特征。 该系统可以基于统计特征，信号处理特征和数据分布模型中的至少一个确定传感器数据的信号动态。 系统可以基于信号动态，传感器数据的流数和传感器数据的尺寸来选择至少一个离群类。 该系统可以选择与异常值相关联的至少一个异常值检测方法，用于检测传感器数据中的异常值。 该系统可以基于异常值，信号动力学，统计特征和信息理论特征以及相似性或不相似性度量来确定传感器数据的信息内容。

公开(公告)号：US20160140359A1

公开(公告)日：2016-05-19

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: G06F21/62 ,  H04L12/26 ,  H04L29/08

CPC classification number: G06F21/6245 ,  H04W12/02 ,  G06F21/6263 ,  H04L43/08 ,  H04L63/0407 ,  H04L67/10

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.

Abstract translation: 本公开一般涉及分布式系统用于计算的用途，更具体地，涉及一种用于优化计算和通信资源同时保持分布式设备中的安全性进行计算的方法和系统。 在一个实施例中，公开了一种利用多个约束边缘装置进行分布式计算的系统和方法。 该系统使边缘设备（如住宅网关和智能手机）集成到分布式计算网格中。 基于通信网络的条件，具有约束带宽，能量，计算能力及其组合的边缘设备被动态优化。 该系统进一步实现边缘设备间的数据分析和分析。 该系统还可以被配置为在计算期间在多个设备之间共享数据的同时保留与数据相关联的隐私。