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公开(公告)号：US10980429B2
公开(公告)日：2021-04-20
申请号：US15901866
申请日：2018-02-21
Applicant: Tata Consultancy Services Limited
Inventor： Sushmita Paul , Anirban Dutta Choudhury , Shreyasi Datta , Arpan Pal , Rohan Banerjee , Kayapanda Mandana
IPC: A61B5/021 , A61B5/024 , A61B5/00 , A61B5/0245 , A61B5/352
Abstract: A method and system for blood pressure (BP) estimation of a person is provided. The system is estimating pulse transit time (PTT) using the ECG signal and PPG signal of the person. A plurality of features are extracted from the PPG. The plurality of PPG features and the PTT are provided as inputs to an automated feature selection algorithm. This algorithm selects a set of features suitable for BP estimation. The selected features are fed to a classifier to classify the database into low/normal BP range and a high BP range. The correctly classified normal BP data are then used to create a regression model to predict BP from the selected features. The current methodology uses automated feature selection mechanism and also employs a block to reject extreme BP data. Thus the available accuracy in predicting BP is expected to be more than the existing BP estimation methods.
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公开(公告)号：US10909462B2
公开(公告)日：2021-02-02
申请号：US15160440
申请日：2016-05-20
Applicant: Tata Consultancy Services Limited
Inventor： Avik Ghose , Arpan Pal , Arindam Pal , Tanushyam Chattopadhyay , Santa Maiti
Abstract: A multi-dimensional sensor data analysis system and method is provided. The multi-dimensional sensor data analysis system receives indoor and outdoor location, online and physical activity, online and physical proximity and additional a plurality of inputs (specific to a user), for example, surrounding of the subject, physiological parameters of the subject and recent social status of the subject, both online and offline. The multi-dimensional sensor data analysis system processes these inputs along with the knowledge of past behavior and traditional parameters of location, proximity and activity by performing a multi-dimensional sensor data analysis fusion technique, producing one or more outputs, for example, predicting or determining a human behaviour to a given stimuli.
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公开(公告)号：US10862945B2
公开(公告)日：2020-12-08
申请号：US16108920
申请日：2018-08-22
Applicant: Tata Consultancy Services Limited
Inventor： Abhijan Bhattacharyya , Suvrat Agrawal , Hemant Kumar Rath , Arpan Pal
IPC: H04L29/06 , H04N19/172 , H04N19/37 , H04L12/18 , H04L29/08
Abstract: Conventional protocols for live media streaming are not lightweight and hence not suitable for constrained video transmitting devices. The protocols are poor in terms of delay performance under lossy conditions and need to maintain a lot of states at the constrained transmitting end leading to load on the memory and draining energy of the devices. The conventionally used protocols do not perform well for intermittent connectivity. Usually the existing streaming solutions act either in completely reliable manner, using reliable transport protocol like TCP, or in completely unreliable manner using best effort unreliable transport protocol like UDP. The present disclosure provides a single streaming solution which can change the protocol semantics and maintains a balance between reliability and delay-performance, thereby optimizing the overall system goodput. The protocol does this intelligently by inferring the criticality of the segment in flight and enable live video streaming for Internet of Things (IoT).
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14.发明授权公开(公告)号：US10750968B2
公开(公告)日：2020-08-25
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 , A61B5/046 , A61B5/0472 , A61B5/00 , A61B5/0456
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.
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公开(公告)号：US10743821B2
公开(公告)日：2020-08-18
申请号：US15456199
申请日：2017-03-10
Applicant: Tata Consultancy Services Limited
Inventor： Soma Bandyopadhyay , Arijit Ukil , Rituraj Singh , Chetanya Puri , Arpan Pal , C A Murthy
IPC: G06N3/08 , G06F11/22 , G06N3/02 , A61B5/00 , A61B5/021 , G06N20/00 , G06F17/18 , G06K9/00 , A61B5/0468 , A61B5/1455
Abstract: Accurate detection of anomaly in sensor signals is critical and can have an immense impact in the health care domain. Accordingly, identifying outliers or anomalies with reduced error and reduced resource usage is a challenge addressed by the present disclosure. Self-learning of normal signature of an input sensor signal is used to derive primary features based on valley and peak points of the sensor signals. A pattern is recognized by using discrete nature and strictly rising and falling edges of the input sensor signal. One or more defining features are identified from the derived features based on statistical properties and time and frequency domain properties of the input sensor signal. Based on the values of the defining features, clusters of varying density are identified for the input sensor signal and based on the density of the clusters, anomalous and non-anomalous portions of the input sensor signals are classified.
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Patent Agency Ranking
公开(公告)号：US10716501B2
公开(公告)日：2020-07-21
申请号：US15913731
申请日：2018-03-06
Applicant: Tata Consultancy Services Limited
Inventor： Deepan Das , Tanuka Bhattacharjee , Shreyasi Datta , Anirban Dutta Choudhury , Pratyusha Das , Arpan Pal
IPC: A61B5/16 , A61B5/0476 , A61B5/024 , A61B5/053 , G16H50/20 , A61B5/11 , A61B5/00 , G06N5/02 , G06N20/00 , A61B5/0205 , A61B5/048
Abstract: This disclosure relates generally to stress classification and quantification, and more particularly to system and method for classification and quantitative estimation of cognitive stress from analysis of keystrokes and signals derived from physiological sensors. In one embodiment, a method includes obtaining, while a user is engaged in performance of a task, physiological signals from physiological sensors accessible to the user. Feature sets are identified from the physiological signals which correlate with cognitive stress experienced by the user. Using a regression model, a stress indicator metric comprising a quantitative estimate of the cognitive stress is predicted. The regression model is trained using the feature sets and independently determined quantitative estimates of cognitive stress used as a ground truth to output the value of the stress indicator metric. The ground truth is determined from keystroke data associated with the performance of keyboard-based tasks comprising navigation of moving objects to the target.
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公开(公告)号：US10277682B2
公开(公告)日：2019-04-30
申请号：US15817720
申请日：2017-11-20
Applicant: Tata Consultancy Services Limited
Inventor： Swagata Biswas , Tanushyam Chattopadhyay , Arpan Pal , Snehasis Banerjee , Utpal Garin
Abstract: A method and system has been provided for recommending features for developing an IoT analytics application. The method follows a deep like architecture. It comprises of three distinct layers. First layer is for input signal processing and other two layers are for feature reduction. The time domain, frequency domain and time-frequency domain features are extracted from the input signal. The invention uses multiple feature selection methods so that the union of the recommended features by these feature selection methods is significantly lesser than the initial set of features. The best feature combination is recommended using an exhaustive search.
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公开(公告)号：US10206593B2
公开(公告)日：2019-02-19
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
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.
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公开(公告)号：US09967715B2
公开(公告)日：2018-05-08
申请号：US15200781
申请日：2016-07-01
Applicant: Tata Consultancy Services Limited
Inventor： Nasimuddin Ahmed , Avik Ghose , Tapas Chakravarty , Arpan Pal
CPC classification number: H04W4/33 , G01S5/0252 , H04W4/021 , H04W4/043
Abstract: Method(s) and System(s) for determining location of a user device within a premise are described. The method includes identifying multiple zones with physical boundaries within the premise based on parameters associated with geometry of the premise. The premise includes multiple access points distributed across the multiple zones. Thereafter, the method includes collecting a first set of Received Signal Strength Indicator (RSSI) Data that is representative of strength of signals received from each accessible access point, at different locations within the premise. After collecting the first set, the method includes computing a Variable Path Loss Exponent (VPLE) within each zone for each accessible access point for determining location of the user device based on at least one of the first set of RSSI data, a line of sight condition, a non-line of sight condition and distance between each accessible access point from each location.
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公开(公告)号：US09922263B2
公开(公告)日：2018-03-20
申请号：US14387094
申请日：2013-03-20
Inventor： Tanushyam Chattopadhyay , Arpan Pal , Aniruddha Sinha , Utpal Garain
Abstract: The present disclosure relates to a system and a method for detection of touching characters in a media, characterized by segmentation of adjoining character spaces. In the very first step, an aspect ratio is calculated for each connected component. A candidate touching position of each character is determined by calculating a threshold aspect ratio for each character. Further, a candidate cut column is determined based on a relation between column pixel densities and corresponding length thereof the column in order to segment the touching characters at the candidate cut column.
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