SG10201702167SA - Anomaly detection by self-learning of sensor signals - Google Patents

Anomaly detection by self-learning of sensor signals

Info

Publication number
SG10201702167SA
SG10201702167SA SG10201702167SA SG10201702167SA SG10201702167SA SG 10201702167S A SG10201702167S A SG 10201702167SA SG 10201702167S A SG10201702167S A SG 10201702167SA SG 10201702167S A SG10201702167S A SG 10201702167SA SG 10201702167S A SG10201702167S A SG 10201702167SA
Authority
SG
Singapore
Prior art keywords
learning
self
sensor signals
anomaly detection
anomaly
Prior art date
Application number
SG10201702167SA
Inventor
Soma Bandyopadhyay
Arijit Ukil
Rituraj Singh
Chetanya Puri
Arpan Pal
C A Murthy
Original Assignee
Tata Consultancy Services Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Publication of SG10201702167SA publication Critical patent/SG10201702167SA/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/364—Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08—Feature extraction
    • G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Cardiology (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Surgery (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Physiology (AREA)
  • Computing Systems (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Fuzzy Systems (AREA)
  • Psychiatry (AREA)
SG10201702167SA 2016-10-21 2017-03-16 Anomaly detection by self-learning of sensor signals SG10201702167SA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN201621036139 2016-10-21

Publications (1)

Publication Number Publication Date
SG10201702167SA true SG10201702167SA (en) 2018-05-30

Family

ID=58461050

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201702167SA SG10201702167SA (en) 2016-10-21 2017-03-16 Anomaly detection by self-learning of sensor signals

Country Status (4)

Country Link
US (1) US10743821B2 (en)
EP (1) EP3312765B1 (en)
JP (1) JP6535044B2 (en)
SG (1) SG10201702167SA (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10743821B2 (en) * 2016-10-21 2020-08-18 Tata Consultancy Services Limited Anomaly detection by self-learning of sensor signals
EP3627262A1 (en) * 2018-09-18 2020-03-25 Siemens Aktiengesellschaft Method and assistance system for parameterization of an anomaly detection method
KR20200141812A (en) 2019-06-11 2020-12-21 삼성전자주식회사 Method and apparatus for anomaly detection using neural network
CN110831050B (en) * 2019-11-21 2022-09-30 武汉宝久智控科技有限公司 Sensor node control method and system
CN111612082B (en) * 2020-05-26 2023-06-23 河北小企鹅医疗科技有限公司 Method and device for detecting abnormal subsequence in time sequence
CN112651444B (en) * 2020-12-29 2022-08-02 山东科技大学 Self-learning-based non-stationary process anomaly detection method
CN113724885B (en) * 2021-09-27 2023-12-05 厦门市易联众易惠科技有限公司 Abnormal sign identification method, device, equipment and storage medium
CN116414817B (en) * 2023-06-08 2024-06-07 荣耀终端有限公司 Track point processing method, electronic equipment and storage medium

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110178967A1 (en) * 2001-05-24 2011-07-21 Test Advantage, Inc. Methods and apparatus for data analysis
US20160026915A1 (en) * 2001-01-05 2016-01-28 In-Depth Test Llc Methods and Apparatus for Data Analysis
KR100499139B1 (en) 2003-01-07 2005-07-04 삼성전자주식회사 Method of removing abnormal data and blood constituent analysing system using spectroscopy employing the same
US8532932B2 (en) * 2008-06-30 2013-09-10 Nellcor Puritan Bennett Ireland Consistent signal selection by signal segment selection techniques
US9113830B2 (en) 2011-05-31 2015-08-25 Nellcor Puritan Bennett Ireland Systems and methods for detecting and monitoring arrhythmias using the PPG
US8836536B2 (en) * 2011-07-29 2014-09-16 Hewlett-Packard Development Company, L. P. Device characterization system and methods
US9060695B2 (en) * 2011-11-30 2015-06-23 Covidien Lp Systems and methods for determining differential pulse transit time from the phase difference of two analog plethysmographs
US9471544B1 (en) * 2012-05-24 2016-10-18 Google Inc. Anomaly detection in a signal
US9005129B2 (en) 2012-06-22 2015-04-14 Fitbit, Inc. Wearable heart rate monitor
ES2967089T3 (en) * 2012-12-26 2024-04-26 Cambridge Mobile Telematics Inc Driver identification methods and systems
US20140316292A1 (en) 2013-04-19 2014-10-23 Semler Scientific, Inc. Circulation Monitoring System
US9924870B2 (en) * 2013-07-26 2018-03-27 Tata Consultancy Services Limited Monitoring physiological parameters
US10103960B2 (en) * 2013-12-27 2018-10-16 Splunk Inc. Spatial and temporal anomaly detection in a multiple server environment
US20150245782A1 (en) * 2014-02-28 2015-09-03 Covidien Lp Systems and methods for capacitance sensing in medical devices
US9838409B2 (en) * 2015-10-08 2017-12-05 Cisco Technology, Inc. Cold start mechanism to prevent compromise of automatic anomaly detection systems
US20170149810A1 (en) * 2015-11-25 2017-05-25 Hewlett Packard Enterprise Development Lp Malware detection on web proxy log data
US10743821B2 (en) * 2016-10-21 2020-08-18 Tata Consultancy Services Limited Anomaly detection by self-learning of sensor signals

Also Published As

Publication number Publication date
EP3312765B1 (en) 2024-04-17
US20180110471A1 (en) 2018-04-26
EP3312765C0 (en) 2024-04-17
US10743821B2 (en) 2020-08-18
JP2018067287A (en) 2018-04-26
EP3312765A1 (en) 2018-04-25
JP6535044B2 (en) 2019-06-26

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