Patents by Inventor C. A. Murthy
C. A. Murthy has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11304663Abstract: Systems and methods for detecting an anomaly in a cardiovascular signal using hierarchical extremas and repetitions. The traditional systems and methods provide for some anomaly detection in the cardiovascular signal but do not consider the discrete nature and strict rising and falling patterns of the cardiovascular signal and frequency in terms of hierarchical maxima points and minima points. Embodiments of the present disclosure provide for detecting the anomaly in the cardiovascular signal using hierarchical extremas and repetitions by smoothening the cardiovascular signal, deriving sets of hierarchical extremas using window detection, identifying signal patterns based upon the sets of hierarchical extremas, identifying repetitions in the signal patterns based upon occurrences and randomness of occurrences of the signal patterns and classifying the cardiovascular signal as anomalous and non-anomalous for detecting the anomaly in the cardiovascular signal.Type: GrantFiled: December 21, 2018Date of Patent: April 19, 2022Assignee: TATA CONSULTANCY SERVICES LIMITEDInventors: Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Arpan Pal, C A Murthy
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Method and system for pattern recognition in a signal using morphology aware symbolic representation
Patent number: 11263450Abstract: 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.Type: GrantFiled: February 1, 2019Date of Patent: March 1, 2022Assignee: Tata Consultancy Services LimitedInventors: Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Arpan Pal, C A Murthy -
Patent number: 10743821Abstract: 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.Type: GrantFiled: March 10, 2017Date of Patent: August 18, 2020Assignee: Tata Consultancy Services LimitedInventors: Soma Bandyopadhyay, Arijit Ukil, Rituraj Singh, Chetanya Puri, Arpan Pal, C A Murthy
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METHOD AND SYSTEM FOR PATTERN RECOGNITION IN A SIGNAL USING MORPHOLOGY AWARE SYMBOLIC REPRESENTATION
Publication number: 20190278971Abstract: 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.Type: ApplicationFiled: February 1, 2019Publication date: September 12, 2019Applicant: Tata Consultancy Services LimitedInventors: Soma BANDYOPADHYAY, Arijit UKIL, Chetanya PURI, Rituraj SINGH, Arpan PAL, C A. MURTHY -
Publication number: 20190200935Abstract: Systems and methods for detecting an anomaly in a cardiovascular signal using hierarchical extremas and repetitions. The traditional systems and methods provide for some anomaly detection in the cardiovascular signal but do not consider the discrete nature and strict rising and falling patterns of the cardiovascular signal and frequency in terms of hierarchical maxima points and minima points. Embodiments of the present disclosure provide for detecting the anomaly in the cardiovascular signal using hierarchical extremas and repetitions by smoothening the cardiovascular signal, deriving sets of hierarchical extremas using window detection, identifying signal patterns based upon the sets of hierarchical extremas, identifying repetitions in the signal patterns based upon occurrences and randomness of occurrences of the signal patterns and classifying the cardiovascular signal as anomalous and non-anomalous for detecting the anomaly in the cardiovascular signal.Type: ApplicationFiled: December 21, 2018Publication date: July 4, 2019Applicant: Tata Consultancy Services LimitedInventors: Soma BANDYOPADHYAY, Arijit UKIL, Chetanya PURI, Rituraj SINGH, Arpan PAL, C A. MURTHY
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Patent number: 10172528Abstract: 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.Type: GrantFiled: March 23, 2017Date of Patent: January 8, 2019Assignee: Tata Consultancy Services LimitedInventors: Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Arpan Pal, C A Murthy, Kayapanda Mandana
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Publication number: 20180110471Abstract: 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.Type: ApplicationFiled: March 10, 2017Publication date: April 26, 2018Applicant: Tata Consultancy Services LimitedInventors: Soma Bandyopadhyay, Arijit Ukil, Rituraj Singh, Chetanya Puri, Arpan Pai, C. A. Murthy
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Publication number: 20170340211Abstract: 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.Type: ApplicationFiled: March 23, 2017Publication date: November 30, 2017Applicant: Tata Consultancy Services LimitedInventors: Soma BANDYOPADHYAY, Arijit UKIL, Chetanya PURI, Rituraj SINGH, Arpan PAL, C. A. MURTHY, Kayapanda MANDANA
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Patent number: 8700548Abstract: Provided embodiments include a method, a system, a device, and an article of manufacture. A system for terminating a genetic algorithm (GA), where the GA uses an iterator and generates one best solution per iteration, includes a memory, an iterative processor, and a terminating processor. The memory is provided for storing a plurality of best solutions generated in a plurality of iterations of the GA. One of the best solutions generated in one of the iterations is stored in the memory if the one of the best solutions is better than a previous one of the best solutions generated in a previous one of the iterations. The iterative processor computes a variance of the plurality of the best solutions stored in the memory. The terminating processor terminates the iterator when the variance is less than or equal to a predetermined threshold.Type: GrantFiled: October 15, 2010Date of Patent: April 15, 2014Assignee: Indian Statistical InstituteInventors: Dinabandhu Bhandari, C. A. Murthy, Sankar Kumar Pal
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Patent number: 8687622Abstract: Systems and methods for discovering SCTP associations between devices communicating in a network are described. A method comprises monitoring packets communicated among a plurality of source and destination devices, determining a combination of source EP address, source port number, destination IP address, and destination port number that defines an association between a source device and a destination device, and resolving a combination of source and destination verification tags that further defines the association based upon the combination of EP addresses and port numbers. The method further comprises ascertaining whether a subsequently monitored packet belongs to the association based at least in part upon an element of the combination of verification tags after at least one element of the combination of EP addresses and port numbers has changed during the ongoing communication.Type: GrantFiled: February 15, 2012Date of Patent: April 1, 2014Assignee: Tektronix, Inc.Inventors: Eric McNair, Jihao Zhong, Kalpana C. Murthy
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Publication number: 20120147776Abstract: Systems and methods for discovering SCTP associations between devices communicating in a network are described. A method comprises monitoring packets communicated among a plurality of source and destination devices, determining a combination of source EP address, source port number, destination IP address, and destination port number that defines an association between a source device and a destination device, and resolving a combination of source and destination verification tags that further defines the association based upon the combination of EP addresses and port numbers. The method further comprises ascertaining whether a subsequently monitored packet belongs to the association based at least in part upon an element of the combination of verification tags after at least one element of the combination of EP addresses and port numbers has changed during the ongoing communication.Type: ApplicationFiled: February 15, 2012Publication date: June 14, 2012Applicant: Tektronix, Inc.Inventors: Eric MCNAIR, Jihao ZHONG, Kalpana C. MURTHY
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Publication number: 20120123980Abstract: Provided embodiments include a method, a system, a device, and an article of manufacture. A system for terminating a genetic algorithm (GA), where the GA uses an iterator and generates one best solution per iteration, includes a memory, an iterative processor, and a terminating processor. The memory is provided for storing a plurality of best solutions generated in a plurality of iterations of the GA. One of the best solutions generated in one of the iterations is stored in the memory if the one of the best solutions is better than a previous one of the best solutions generated in a previous one of the iterations. The iterative processor computes a variance of the plurality of the best solutions stored in the memory. The terminating processor terminates the iterator when the variance is less than or equal to a predetermined threshold.Type: ApplicationFiled: October 15, 2010Publication date: May 17, 2012Applicant: INDIAN STATISTICAL INSTITUTEInventors: Dinabandhu Bhandari, C.A. Murthy, Sankar Kumar Pal
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Patent number: 8144688Abstract: Systems and methods for discovering SCTP associations between devices communicating in a network are described. A method comprises monitoring packets communicated among a plurality of source and destination devices, determining a combination of source EP address, source port number, destination IP address, and destination port number that defines an association between a source device and a destination device, and resolving a combination of source and destination verification tags that further defines the association based upon the combination of EP addresses and port numbers. The method further comprises ascertaining whether a subsequently monitored packet belongs to the association based at least in part upon an element of the combination of verification tags after at least one element of the combination of EP addresses and port numbers has changed during the ongoing communication.Type: GrantFiled: December 7, 2006Date of Patent: March 27, 2012Assignee: Tektronix, Inc.Inventors: Eric McNair, Jihao Zhong, Kalpana C. Murthy
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Publication number: 20120041912Abstract: Disclosed are methods and custom computing apparatuses for identifying gene-gene interactions from gene expression data, based on which a gene regulatory sub-network can be built. In particular, relationships in which multiple genes co-regulate one target gene can also be identified.Type: ApplicationFiled: August 10, 2010Publication date: February 16, 2012Inventors: Sushmita MITRA, C. A. Murthy, Ranajit Das
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Patent number: 8015260Abstract: A system and related method for calculating parity information for disk array drive failure recovery. More specifically, using eight bit coefficients and calculating parity information using valid eight bit encryption keys to produce finite field encrypted resultant multiplication. Further disclosed is a method of determining whether a potential encryption key of a particular number of bits produces valid results for all possible multiplications in determining parity values.Type: GrantFiled: August 26, 2004Date of Patent: September 6, 2011Assignee: Hewlett-Packard Development Company, L.P.Inventor: Purna C. Murthy
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Publication number: 20090246829Abstract: Isolated nucleic acid molecules comprising a gene segment from a rhesus rotavirus (RRV) or from one of three rhesus:human reassortant viruses are disclosed, including isolated nucleic acid molecules having a sequence selected from the group consisting of: SEQ ID NO: 1-14, inclusive, and isolated nucleic acid molecules encoding a protein having a sequence selected from the group consisting of SEQ ID NO: 15-28, inclusive, as well as variants of the isolated nucleic acid molecules.Type: ApplicationFiled: February 3, 2009Publication date: October 1, 2009Applicants: ServicesInventors: Deborah A. Buonagurio, Alice F. Georgiu, Robert A. Lerch, Bruce B. Mason, Shridhara C. Murthy, Ruth S. Rappaport, Mohinder S. Sidhu, Stephen A. Udem, Timothy J. Zamb
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Publication number: 20090129267Abstract: Systems and methods for discovering SCTP associations between devices communicating in a network are described. A method comprises monitoring packets communicated among a plurality of source and destination devices, determining a combination of source EP address, source port number, destination IP address, and destination port number that defines an association between a source device and a destination device, and resolving a combination of source and destination verification tags that further defines the association based upon the combination of EP addresses and port numbers. The method further comprises ascertaining whether a subsequently monitored packet belongs to the association based at least in part upon an element of the combination of verification tags after at least one element of the combination of EP addresses and port numbers has changed during the ongoing communication.Type: ApplicationFiled: December 7, 2006Publication date: May 21, 2009Applicant: Tektronix, IncInventors: Eric McNair, Jihao Zhong, Kalpana C. Murthy
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Patent number: 7485415Abstract: Isolated nucleic acid molecules comprising a gene segment from a rhesus rotavirus (RRV) or from one of three rhesus: human reassortant viruses are disclosed, including isolated nucleic acid molecules having a sequence selected from the group consisting of: SEQ ID NO: 1-14, inclusive, and isolated nucleic acid molecules encoding a protein having a sequence selected from the group consisting of SEQ ID NO: 15-28, inclusive, as well as variants of the isolated nucleic acid molecules.Type: GrantFiled: February 19, 2003Date of Patent: February 3, 2009Assignee: The United States of America as represented by the Department of Health and Human ServicesInventors: Deborah A. Buonagurio, Alice F. Georgiu, Robert A. Lerch, Bruce B. Mason, Shridhara C. Murthy, Ruth S. Rappaport, Mohinder S. Sidhu, Stephen A. Udem, Timothy J. Zamb
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Publication number: 20050144456Abstract: Disclosed is a method, apparatus, and system to provide for robust digital image watermarking utilizing a Walsh transform algorithm. A first image processor performs operations including partitioning a cover image, generating a key, and inserting a watermark symbol into the cover image utilizing a Walsh transform and the key. A second image processor performs operations including extracting the watermark symbol from the cover image utilizing a Walsh transform and the key.Type: ApplicationFiled: December 11, 2003Publication date: June 30, 2005Inventors: Tinku Acharya, Bhargab Bhattacharya, Malay Kundu, C. Murthy, Santi Maity
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Publication number: 20050129293Abstract: Disclosed is a method and apparatus to provide for fingerprint minutiae matching using scoring techniques. A plurality of minutiae in a fingerprint image is defined. A score associated with each minutia corresponding to the validity of each minutia is estimated. The fingerprint image is then matched against one or more sample fingerprint images utilizing a partial point set pattern matching (PSPM) algorithm.Type: ApplicationFiled: December 11, 2003Publication date: June 16, 2005Inventors: Tinku Acharya, Bhargab Bhattacharya, Arindam Biswas, Partha Bhowmick, Arijit Bishnu, Sandip Das, Malay Kundu, C. Murthy, Subhas Nandy