# US 10,441,184 B2 · Electrocardiogram device and methods

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- Number: US 10,441,184 B2
- Document ID: US10441184B2
- Status: Granted
- Kind: B2
- Application number: 15/460,036
- Filed: 2017-03-15
- Published: 2017-09-21
- Granted: 2019-10-15
- Earliest claimed: 2016-03-16
- Assignees: Ventrilink Corporation
- Applicants: Eric Baumann; Lev Korzinov; David Churchville
- Inventors: Eric Baumann; Lev Korzinov; David Churchville
- Web page: https://patentgrep.com/patent/US10441184B2

## CPC

- A61B 5/347: Detecting the frequency distribution of signals
- A61B 5/339: Displays specially adapted therefor
- A61B 5/361: Detecting fibrillation
- A61B 5/7257: {using Fourier transforms}
- A61B 5/726: {using Wavelet transforms}
- A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems}
- A61B 5/7465: {Arrangements for interactive communication between patient and care services, e.g. by using a telephone network (telemetry of measured physiological signal A61B5/0002)}
- A61B 5/002: {Monitoring the patient using a local or closed circuit, e.g. in a room or building (A61B5/0017 takes precedence)}
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of transforms prior to submitting the data to a multiple level neural network. In one embodiment for ECG analysis, a template is used to subtract data that is not pertinent to the diagnosis and then a Fourier transform is applied to the time series data. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

## Claims

### Claim 1

A system for providing a health diagnosis, to a medical practitioner, from electrocardiogram data acquired from a patient over a time period, said electrocardiogram data including a plurality of heartbeats, and, each heartbeat including PQRST wave data, and, said system comprising:
a) a sensor for measuring the electrocardiogram data over the time period, and, storing the electrocardiogram data, and, transferring the electrocardiogram data to a computing device,
b) the computing device further programmed to:
i) perform a mathematical transform on the electrocardiogram data, where the mathematical transform is at least one selected, by the medical practitioner, from:
(1) a wavelet transform,
(2) creating a template of QRS data from the electrocardiogram data and subtracting the template of QRS data from each of the plurality of heartbeats,
(3) a Fourier transform, and
where the mathematical transform is selected on the basis of a health diagnosis to be tested, thereby producing transformed physiological data, and
ii) encode the transformed physiological data using a multiple layer neural network, thereby producing an encoded output,
iii) classify the encoded output using a classifier that has been previously trained using a library of time varying physiological data with confirmed diagnoses, thereby producing a classified output,
c) wherein the classified output is the health diagnosis for the patient.

### Claim 2 (depends on 1)

The system of claim 1 wherein the library of time varying physiological data with confirmed diagnoses is produced by collecting and interpreting time varying physiological data from the patient in a first time period, said first time period occurring prior to the time period of claim 1, and wherein the confirmed diagnoses are produced by a human technician.

### Claim 3 (depends on 1)

The system of claim 1 wherein the mathematical transform includes: creating a template of QRS data from the electrocardiogram data and subtracting the template of QRS data from each of the plurality of heartbeats, and, a Fourier transform, and, the health diagnosis to be tested is P wave blockage.

### Claim 4 (depends on 1, 3)

The system of claim 3 wherein the library of time varying physiological data with confirmed diagnoses is produced by collecting and interpreting time varying physiological data from the patient in a first time period, said first time period occurring prior to the time period of claim 1, and wherein the confirmed diagnoses are produced by a human technician.

### Claim 5 (depends on 1)

The system of claim 1 wherein the mathematical transform includes: creating a template of QRS data from the electrocardiogram data and subtracting the template of QRS data from each of the plurality of heartbeats, and, a Wavelet transform, and, the health diagnosis to be tested is P wave flutter.

### Claim 6 (depends on 1, 5)

The system of claim 5 wherein the library of time varying physiological data with confirmed diagnoses is produced by collecting and interpreting time varying physiological data from the patient in a first time period, said first time period occurring prior to the time period of claim 1, and wherein the confirmed diagnoses are produced by a human technician.