WO2013012756A1 - Data conversion in ecg techniques - Google Patents
Data conversion in ecg techniques Download PDFInfo
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- WO2013012756A1 WO2013012756A1 PCT/US2012/046799 US2012046799W WO2013012756A1 WO 2013012756 A1 WO2013012756 A1 WO 2013012756A1 US 2012046799 W US2012046799 W US 2012046799W WO 2013012756 A1 WO2013012756 A1 WO 2013012756A1
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- Prior art keywords
- ecg
- lead
- medium
- generating
- input signals
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Classifications
-
- 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]
- A61B5/327—Generation of artificial ECG signals based on measured signals, e.g. to compensate for missing leads
-
- 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
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7282—Event detection, e.g. detecting unique waveforms indicative of a medical condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/04—Arrangements of multiple sensors of the same type
- A61B2562/046—Arrangements of multiple sensors of the same type in a matrix array
-
- 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
- A61B5/25—Bioelectric electrodes therefor
- A61B5/251—Means for maintaining electrode contact with the body
- A61B5/252—Means for maintaining electrode contact with the body by suction
-
- 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
-
- 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
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Definitions
- Sensor devices such as electrocardiograph (ECG) devices, that can monitor bioelectric data from a body are known.
- ECG electrocardiograph
- An example of such a device is described in U.S. Patent No. 6,055,448.
- the apparatus described therein comprises an array of a plurality of N number of sensors in the form of electrode leads where N is an integer, each sensor of which is capable of detecting an electrical signal associated with components of a heartbeat.
- a known implementation of such an apparatus is an electrode vest employing 80 electrode leads.
- a series of waveforms may be selected and generated to test and calibrate devices, such as ECG monitors, that respond to waveform signals.
- a conventional waveform-signal simulating device i.e., ECG simulator
- ECG simulator has one or more, typically digitized, waveforms in non-volatile memory, such as a read-only memory (ROM).
- ROM read-only memory
- the operator of the simulating device may request, via an operator interface, a digitized waveform that is then recalled from the memory and processed through a digital-to-analog converter (DAC).
- the converted signal as an analog waveform signal, may then be transmitted to the device, such as an ECG monitor under test, that responds to the waveform for purposes of evaluation and calibration.
- an 80-lead ECG simulator is not available to simulate the above-referenced 80-lead vest; the typical implementation is a 12-lead ECG simulator.
- a computer-implementable method includes generating a first set of input signals representing an X-lead ECG apparatus, generating a second set of input signals based on the first set and representing a Y-lead ECG apparatus, and generating to a display device a set of ECG traces and/or a diagnosis of acute myocardial infarction based on the second set.
- X and Y are integer values and Y is greater than X.
- FIGURE 1 is a high-level block diagram showing an ECG system 100 in accordance with an embodiment of the invention
- FIGURE 2 is a schematic illustration of an arrangement of N electrodes in an array in accordance with an embodiment of the invention
- FIGURE 3 illustrates a conversion table in accordance with an embodiment of the invention.
- FIGURE 4 illustrates a conversion table, as plotted with respect to the vest array 1 10 of FIG. 1, in accordance with an embodiment of the invention
- FIGURE 5 illustrates a conversion table in accordance with an alternative embodiment of the invention
- FIGURE 6 illustrates a conversion table, as plotted with respect to the vest array 110 of FIG. 1, in accordance with the alternative embodiment of the invention.
- FIGURE 7 illustrates a waveform-matching and correlation technique according to an embodiment.
- Embodiments of the invention are operational with numerous general purpose or special purpose computing system environments or configurations.
- Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the invention include, but are not limited to, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor- based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
- Embodiments of the invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer and/or by computer-readable media on which such instructions or modules can be stored.
- program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types.
- the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network.
- program modules may be located in both local and remote computer storage media including memory storage devices.
- Embodiments of the invention may include or be implemented in a variety of computer readable media.
- Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media.
- Computer readable media may comprise computer storage media and communication media.
- Computer storage media include volatile and nonvolatile, removable and nonremovable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
- Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by computer.
- Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
- modulated data signal means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
- communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of the any of the above should also be included within the scope of computer readable media.
- the combination of software or computer-executable instructions with a computer-readable medium results in the creation of a machine or apparatus.
- the execution of software or computer- executable instructions by a processing device results in the creation of a machine or apparatus, which may be distinguishable from the processing device, itself, according to an embodiment.
- a computer-readable medium is transformed by storing software or computer-executable instructions thereon.
- a processing device is transformed in the course of executing software or computer-executable instructions.
- a first set of data input to a processing device during, or otherwise in association with, the execution of software or computer-executable instructions by the processing device is transformed into a second set of data as a consequence of such execution.
- This second data set may subsequently be stored, displayed, or otherwise communicated.
- Such transformation alluded to in each of the above examples, may be a consequence of, or otherwise involve, the physical alteration of portions of a computer-readable medium.
- Such transformation may also be a consequence of, or otherwise involve, the physical alteration of, for example, the states of registers and/or counters associated with a processing device during execution of software or computer-executable instructions by the processing device.
- An embodiment of the invention is operable to convert a conventional 12-lead ECG simulator to an 80-lead ECG simulator.
- An embodiment of the invention enables conversion of 12-lead ECG signal data into 80-lead signal data. This, in turn, enables the execution of an 80-lead diagnostic algorithm for the detection of acute myocardial infarction (AMI). This algorithm assists in the interpretation of patient recordings.
- AMI acute myocardial infarction
- FIG. 1 is a high-level block diagram showing an ECG system 100 according to an embodiment or in which an embodiment may be implemented.
- System 100 includes an N-lead electrode array 1 10, a connector element 120, and a signal- monitoring console 130 including, or otherwise coupled to, a processing device (processor) 140.
- processor processing device
- ECG measuring systems generally apply 3 electrodes (to the chest or 10 electrodes (4 limbs and 6 specific points on the chest) to the skin, and, through a differential operational amplifier (OP-AMP), report signal differences between a selected pair of electric contacts or electrodes or between an electrode and a summed reference.
- the electrical activity thus monitored is generated by a sequence of ion movements in the heart that depolarize (release) and then repolarize (rebuild) an ionic charge distribution across cell membranes, which relates to actuation of contraction of the heart muscle.
- a 12-lead ECG consists of lead pairings I, II, III, aVR, aVL, aVF, vl, v2, v3, v4, v5, and v6, where lead I reports the voltage difference between an electrode on the left arm (LA) and another on the right arm (RA); lead II left leg (LL) vs. right arm; lead III left arm vs. left leg; Lead aVR reports right arm vs. combined reference of left arm and left leg; aVL left arm vs. right arm and left leg; aVF left leg vs.
- v-v6, v for voltage represent a series of prescribed positions across the front of the chest vs. the combined reference of left arm, right arm and feet.
- FIG. 2 is a schematic illustration of the arrangement of an embodiment of the array 1 10 in the form of an 80-lead vest.
- the array 110 includes an anterior sub-array 210 (i.e., leads 1-61) configured to be positioned on the front of a patient's torso and a posterior sub-array 220 (i.e., leads 62-77) configured to be positioned on the back of a patient's torso.
- the LA, RA and LL limb leads are not shown.
- the connector element 120 may be configured to provide a common electrical interface to the console 130 for both the anterior and posterior sub- arrays 210, 220.
- the conversion inputs are six V-leads and three limb leads that can be obtained from the 12-lead ECG simulator (or, alternatively, from an actual 12-lead ECG sensor array).
- This first embodiment involves direct mapping from these 9 inputs to the 77 electrodes of the array 1 10.
- FIG. 3 The conversion table from the 9 ECG waveforms generated by the 12- lead ECG simulator to a corresponding 80-lead input array, according to an embodiment, is illustrated in FIG. 3.
- the conversion table of FIG. 3 (and FIG. 5, discussed in further detail below) may be generated using a waveform correlation technique, an embodiment of which is illustrated in the flow chart of FIG. 7.
- data is collected by taking ECG readings from a 12-lead simulator or sensor array applied to a human subject.
- Such data collection produces a first set of waveforms, each waveform of the first set associated with a respective lead of the 12-lead simulator/array and having a distinctive set of characteristics ⁇ e.g., frequency, wavelength, etc).
- Data is additionally collected by taking ECG readings from a human subject using an 80-lead array. This additional data collection produces a second set of waveforms, each waveform of the second set associated with a respective lead of the 80- lead array and having a distinctive set of characteristics.
- each waveform generated by the 80-lead array there is a corresponding one of the waveforms generated by the 12-lead simulator/array that is a "match" in terms of similarity of waveform characteristics.
- the technique illustrated in FIG. 7 provides a computational/automated approach to correlating the closest match between the respective waveforms of the first and second sets.
- an 80-lead ECG monitor may be tested and calibrated using a 12-lead ECG simulator.
- the 80-lead monitor can display 80 ECG traces based solely on the 9 ECG waveforms generated by the 12- lead ECG simulator.
- the conversion inputs are six V-leads (i.e., vl-v6, as discussed above herein) and six augmented leads (i.e., aVR, aVL, aVF, I, II, and III) that can be obtained from the 12-lead ECG sensor array (or, alternatively, from a 12-lead ECG simulator).
- the conversion in this alternative embodiment may be governed by the following equation:
- Y is the 80-lead signal amplitude and X is the amplitude of the corresponding 12-lead input.
- FIG. 5 The conversion table from the 12 lead inputs generated by the 12-lead ECG sensor array to a corresponding 80-lead input array, according to an embodiment, is illustrated in FIG. 5.
- an 80-lead diagnostic algorithm for the detection of AMI may be generated using a 12-lead ECG sensor array.
- the 80-lead monitor can generate a diagnosis of AMI based solely on the 12 lead inputs generated by the 12-lead ECG sensor array.
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Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2014521680A JP6121415B2 (en) | 2011-07-15 | 2012-07-13 | Data conversion in ECG technology |
EP12815521.5A EP2732394A4 (en) | 2011-07-15 | 2012-07-13 | Data conversion in ecg techniques |
CA2841781A CA2841781A1 (en) | 2011-07-15 | 2012-07-13 | Data conversion in ecg techniques |
AU2012284263A AU2012284263B2 (en) | 2011-07-15 | 2012-07-13 | Data conversion in ECG techniques |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/184,213 US8923957B2 (en) | 2011-07-15 | 2011-07-15 | Data conversion in ECG techniques |
US13/184,213 | 2011-07-15 |
Publications (1)
Publication Number | Publication Date |
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WO2013012756A1 true WO2013012756A1 (en) | 2013-01-24 |
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Application Number | Title | Priority Date | Filing Date |
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PCT/US2012/046799 WO2013012756A1 (en) | 2011-07-15 | 2012-07-13 | Data conversion in ecg techniques |
Country Status (6)
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US (1) | US8923957B2 (en) |
EP (1) | EP2732394A4 (en) |
JP (1) | JP6121415B2 (en) |
AU (1) | AU2012284263B2 (en) |
CA (1) | CA2841781A1 (en) |
WO (1) | WO2013012756A1 (en) |
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AT521071B1 (en) | 2018-03-23 | 2019-12-15 | Miba Gleitlager Austria Gmbh | Wind turbine transmission and method for producing a wind turbine transmission |
US20200113471A1 (en) | 2018-10-16 | 2020-04-16 | Cardionomous Llc | Heart signal waveform processing system and method |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5161539A (en) * | 1991-05-09 | 1992-11-10 | Physio-Control | Method and apparatus for performing mapping-type analysis including use of limited electrode sets |
SE9504258D0 (en) * | 1995-11-28 | 1995-11-28 | Pacesetter Ab | Device and method for generating a synthesized ECG |
US6119035A (en) * | 1998-03-26 | 2000-09-12 | Hewlett-Packard Company | Method and system for synthesizing the 12-lead electrocardiogram |
WO2002011615A2 (en) * | 2000-08-03 | 2002-02-14 | Siemens Medical Solutions Usa, Inc. | An electrocardiogram system for synthesizing leads and providing an accuracy measure |
US6636761B2 (en) * | 2000-12-29 | 2003-10-21 | Ge Medical Systems Information Technologies, Inc. | Method and apparatus for generating a twelve-lead ECG from fewer than ten electrodes |
US6901285B2 (en) * | 2002-05-17 | 2005-05-31 | David M. Schreck | System and method for synthesizing leads of an electrocardiogram |
US6931271B2 (en) * | 2002-08-12 | 2005-08-16 | Draeger Medical Systems, Inc | System for adaptively deriving ECG chest lead signal data |
JP4830266B2 (en) * | 2004-05-14 | 2011-12-07 | 日本光電工業株式会社 | Standard 12-lead ECG construction method and ECG inspection apparatus |
-
2011
- 2011-07-15 US US13/184,213 patent/US8923957B2/en active Active
-
2012
- 2012-07-13 AU AU2012284263A patent/AU2012284263B2/en not_active Ceased
- 2012-07-13 JP JP2014521680A patent/JP6121415B2/en active Active
- 2012-07-13 EP EP12815521.5A patent/EP2732394A4/en not_active Withdrawn
- 2012-07-13 CA CA2841781A patent/CA2841781A1/en active Pending
- 2012-07-13 WO PCT/US2012/046799 patent/WO2013012756A1/en active Application Filing
Non-Patent Citations (4)
Title |
---|
CLIFFORD ET AL.: "An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms", COMPUTERS IN CARDIOLOGY, vol. 35, 2008, pages 773 - 776, XP031406669 * |
DAWSON ET AL.: "Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals", JOURNAL OF ELECTROCARDIOLOGY, vol. 42, 2009, pages 622 - 630, XP026702933 * |
MCCLELLAND ET AL.: "Comparison of the 80-lead body surface map to physician and to 12-lead electrocardiogram in detection of acute myocardial infarction", AMERICAN JOURNAL OF CARDIOLOGY, vol. 92, 1 August 2003 (2003-08-01), pages 252 - 257, XP055142751 * |
See also references of EP2732394A4 * |
Also Published As
Publication number | Publication date |
---|---|
US8923957B2 (en) | 2014-12-30 |
CA2841781A1 (en) | 2013-01-24 |
AU2012284263A1 (en) | 2014-02-06 |
EP2732394A4 (en) | 2015-03-25 |
EP2732394A1 (en) | 2014-05-21 |
JP6121415B2 (en) | 2017-04-26 |
US20130018589A1 (en) | 2013-01-17 |
AU2012284263B2 (en) | 2016-10-13 |
JP2014523785A (en) | 2014-09-18 |
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