SG11201805352QA - Method and system for determining network connections - Google Patents

Method and system for determining network connections

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Publication number
SG11201805352QA
SG11201805352QA SG11201805352QA SG11201805352QA SG11201805352QA SG 11201805352Q A SG11201805352Q A SG 11201805352QA SG 11201805352Q A SG11201805352Q A SG 11201805352QA SG 11201805352Q A SG11201805352Q A SG 11201805352QA SG 11201805352Q A SG11201805352Q A SG 11201805352QA
Authority
SG
Singapore
Prior art keywords
coefficients
zero
international
connections
lllll
Prior art date
Application number
SG11201805352QA
Inventor
Linda Sommerlade
Björn Olaf Schelter
Claude Michel Wischik
Original Assignee
Genting Taurx Diagnostic Centre Sdn Bhd
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 Genting Taurx Diagnostic Centre Sdn Bhd filed Critical Genting Taurx Diagnostic Centre Sdn Bhd
Publication of SG11201805352QA publication Critical patent/SG11201805352QA/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006ECG or EEG signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0024Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/04Arrangements of multiple sensors of the same type
    • A61B2562/046Arrangements of multiple sensors of the same type in a matrix array
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal

Abstract

INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 13 July 2017 (13.07.2017) WIPOIPCT (10) International Publication Number WO 2017/118733 A1 (51) International Patent Classification: A61B 5/0476 (2006.01) A61B 5/00 (2006.01) (21) International Application Number: (22) International Filing Date: (25) Filing Language: (26) Publication Language: PCT/EP2017/050269 6 January 2017 (06.01.2017) English English (30) Priority Data: PI2016000032 8 January 2016 (08.01.2016) MY (71) Applicant: GENTING TAURX DIAGNOSTIC CENTRE SDN BHD [MY/MY]; 24th Floor, Wisma Gent- ing, Jalan Sultan Ismail, Kuala Lumpur, 50250 (MY). (72) Inventors: SOMMERLADE, Linda; University of Aber­ deen, Institute for Complex Systems and Mathematical Biology, Meston Walk, Aberdeen Aberdeenshire AB24 3UE (GB). SCHELTER, Bjorn Olaf; University of Aber­ deen, Institute for Complex Systems and Mathematical Biology, Meston Walk, Aberdeen Aberdeenshire AB24 3UE (GB). WISCHIK, Claude Michel; Institute of Med­ ical Sciences, Forresterhill, Aberdeen Aberdeenshire AB25 2ZD (GB). (74) Agents: HODSDON, Stephen et al.; Mewburn Ellis LLP, City Tower, 40 Basinghall Street, London Greater London EC2V 5DE (GB). (81) Designated States (unless otherwise indicated, for every kind of national protection available)'. AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available)'. ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, [Continued on next page] (54) Title: METHOD AND SYSTEM FOR DETERMINING NETWORK CONNECTIONS Measure data from network nodes Calculate coherence and partial coherence of all possible connections Set coefficients of connections for which coherence or partial coherence is below threshold to zero Estimate auto-regressive coefficients for non-zero coefficients (57) : This invention relates to methods and systems for de­ termining network connections. It is particularly, but not exclusively, related to methods and systems for determining network connections in sparse networks, and has particular application to EEG data. An aspect of the invention provides a method for identifying, in a network of in­ teracting nodes simultaneously producing signals,connections between said nodes andof estimating connection coefficients between nodesid- entified as connected which includes the steps of setting to zero con­ nection coefficients where the calculated coherence or partial coher­ ence is below a first predetermined thresholdand subsequently setting to zero connection coefficients where the estimated connection coeffi­ cients are below a second predetermined threshold, and then re-estim- atingthe connection coefficients for the combinations of nodes for which the connection coefficients have not already been set to zero. Cluster estimated coefficients according to squared Euclidean distances and set coefficients in smaller value cluster to zero Estimate auto-regressive coefficients for all remaining non-zero connections m i> oo o CJ O & WO 2017/118733 A11 lllll llllllll II llllll III lllll III llll III III lllll lllll lllll lllll lllll llll lllllll llll llll llll TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Declarations under Rule 4.17: — of inventorship (Rule 4.17(iv)) Published: — with international search report (Art. 21(3))
SG11201805352QA 2016-01-08 2017-01-06 Method and system for determining network connections SG11201805352QA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MYPI2016000032 2016-01-08
PCT/EP2017/050269 WO2017118733A1 (en) 2016-01-08 2017-01-06 Method and system for determining network connections

Publications (1)

Publication Number Publication Date
SG11201805352QA true SG11201805352QA (en) 2018-07-30

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US (1) US11006830B2 (en)
EP (1) EP3399909B1 (en)
JP (1) JP6926117B2 (en)
KR (1) KR20180100154A (en)
CN (1) CN108463165B (en)
AU (1) AU2017205100B2 (en)
CA (1) CA3009874A1 (en)
DK (1) DK3399909T3 (en)
ES (1) ES2909135T3 (en)
HK (1) HK1258178A1 (en)
PL (1) PL3399909T3 (en)
PT (1) PT3399909T (en)
RU (1) RU2732435C2 (en)
SG (1) SG11201805352QA (en)
TW (1) TWI745321B (en)
WO (1) WO2017118733A1 (en)

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US11615285B2 (en) 2017-01-06 2023-03-28 Ecole Polytechnique Federale De Lausanne (Epfl) Generating and identifying functional subnetworks within structural networks
CN108523907B (en) * 2018-01-22 2021-07-16 上海交通大学 Fatigue state identification method and system based on deep shrinkage sparse self-coding network
US11893471B2 (en) 2018-06-11 2024-02-06 Inait Sa Encoding and decoding information and artificial neural networks
US11663478B2 (en) 2018-06-11 2023-05-30 Inait Sa Characterizing activity in a recurrent artificial neural network
US11972343B2 (en) 2018-06-11 2024-04-30 Inait Sa Encoding and decoding information
CA3111000A1 (en) 2018-09-05 2020-03-12 Genting Taurx Diagnostic Centre Sdn Bhd Network methods for neurodegenerative diseases
US11836215B2 (en) * 2019-03-07 2023-12-05 Axel W. E. Wismüller Method and device for determining a measure of causal influence between components of complex systems
US11652603B2 (en) 2019-03-18 2023-05-16 Inait Sa Homomorphic encryption
US11569978B2 (en) 2019-03-18 2023-01-31 Inait Sa Encrypting and decrypting information
CA3134588A1 (en) * 2019-04-10 2020-10-15 Genting Taurx Diagnostic Centre Sdn Bhd Adaptive neurological testing method
US10706104B1 (en) * 2019-07-25 2020-07-07 Babylon Partners Limited System and method for generating a graphical model
US11580401B2 (en) 2019-12-11 2023-02-14 Inait Sa Distance metrics and clustering in recurrent neural networks
US11797827B2 (en) 2019-12-11 2023-10-24 Inait Sa Input into a neural network
US11816553B2 (en) 2019-12-11 2023-11-14 Inait Sa Output from a recurrent neural network
US11651210B2 (en) 2019-12-11 2023-05-16 Inait Sa Interpreting and improving the processing results of recurrent neural networks
CN112244870B (en) * 2020-09-24 2022-02-22 杭州电子科技大学 Epilepsy electroencephalogram bidirectional coupling analysis method based on symbolic permutation transfer entropy

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US7415305B2 (en) * 2004-10-01 2008-08-19 The Trustees Of Columbia University In The City Of New York Method for the spatial mapping of functional brain electrical activity
US9480402B2 (en) * 2011-11-11 2016-11-01 Washington University System and method for task-less mapping of brain activity
US8977029B2 (en) * 2012-08-24 2015-03-10 Siemens Aktiengesellschaft Method and system for multi-atlas segmentation of brain computed tomography image data
TWI503103B (en) * 2013-04-12 2015-10-11 Inst Nuclear Energy Res A method of stimulating the formation of brain cognitive response images
TW201521676A (en) * 2013-12-13 2015-06-16 Nat Inst Chung Shan Science & Technology Method of generating index for determining anesthesia consciousness alertness level using artificial neural network
US9107595B1 (en) * 2014-09-29 2015-08-18 The United States Of America As Represented By The Secretary Of The Army Node excitation driving function measures for cerebral cortex network analysis of electroencephalograms
CN104715150A (en) * 2015-03-19 2015-06-17 上海海事大学 Migraineur cerebral cortex assistant classification analyzing method based on complex network

Also Published As

Publication number Publication date
ES2909135T3 (en) 2022-05-05
US20190021594A1 (en) 2019-01-24
PL3399909T3 (en) 2022-06-20
US11006830B2 (en) 2021-05-18
RU2732435C2 (en) 2020-09-16
PT3399909T (en) 2022-03-24
TWI745321B (en) 2021-11-11
CN108463165A (en) 2018-08-28
JP6926117B2 (en) 2021-08-25
AU2017205100A1 (en) 2018-07-26
EP3399909B1 (en) 2022-03-02
KR20180100154A (en) 2018-09-07
TW201725519A (en) 2017-07-16
AU2017205100B2 (en) 2021-05-27
JP2019507450A (en) 2019-03-14
RU2018128580A3 (en) 2020-04-09
EP3399909A1 (en) 2018-11-14
RU2018128580A (en) 2020-02-10
DK3399909T3 (en) 2022-03-21
HK1258178A1 (en) 2019-11-08
CN108463165B (en) 2021-08-24
CA3009874A1 (en) 2017-07-13
WO2017118733A1 (en) 2017-07-13

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