Method, system and apparatus for continuous cardiac monitoring of an individual

• US 9,144,384 B2
• Filed: 06/28/2012
• Issued: 09/29/2015
• Est. Priority Date: 03/06/2012
• Status: Active Grant

• Current Assignee: Quoretech SA
• Original Assignee: Corcam Tecnologia S.A.
• Inventors: Margarida, Cesar Claudio, Roriz, Marcelo de Campos Jr., Neto, Antonio Andre
• Primary Examiner(s): MALAMUD, DEBORAH LESLIE
• Application Number:
  US13/536,614
• Publication Number:
  US 20130237861A1
• Time in Patent Office: 1,188 Days
• Field of Search: 600508-509, 600/513, 600/515, 600/527, 607/9, 607 17- 19, 607/32, 607/60, 607/62, 128/903, 128/920, 128923-925
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02 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
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A method, a system and an apparatus for remotely monitoring a cardiac condition in an individual in which there is provided a non-invasive, mobile and portable solution including hardware, software, and a back-office application allowing an autonomous and smart remote monitoring. Two-way communication is provided between the cardiac monitoring apparatus and a monitoring center, which allows sending of data of the patient being monitored to the monitoring center, as well as allowing the monitoring center or a clinician to request a new exam on demand.

Claims

1. A portable system for remotely monitoring a cardiac condition of an individual, comprising:

a portable electrocardiogram apparatus that is configured to be physically connected to the individual and to physically accompany the individual, the electrocardiogram apparatus includes a main branch having;

a main module that is configured to perform activation functions of the electrocardiogram apparatus for monitoring the cardiac condition of the individual;

an ECG module that is configured to carry out ECG exams evaluated by algorithms provided by a DNA module for checking cardiac intercurrences;

the DNA module that is configured to detect cardiac intercurrences via a probabilistic neural network;

a GSM module that is configured to perform a two-way communication between the electrocardiogram apparatus and a monitoring center via GSM/GPRS;

a GPS module that is configured to read GPS data from the electrocardiogram apparatus and retrieve latitude and longitude coordinates;

an XYZ module that is configured to read and evaluate coordinates of an accelerometer for fall detection.

2. The system according to claim 1, wherein the probabilistic neural network operates in a non-supervised mode.

3. The system according to claim 1, wherein the probabilistic neural network includes an input layer that comprises ECG data of the individual and an output layer that comprises categories of cardiac intercurrences.

4. The system according to claim 3, wherein a solution achieved by the probabilistic neural network comprises a customized profile of the individual.

5. The system according to claim 1, wherein the main module is configured to perform the following routines:

initializing the electrocardiogram apparatus and executing the other modules;

checking an SOS/help button;

checking a battery level;

communicating and exchanging information between all the modules;

requesting the execution of an ECG;

requesting transfer of a data file to a data server;

requesting a download of a data file from the data server;

requesting the sending of a SMS text message;

requesting the electrocardiogram apparatus to vibrate as a warning;

requesting a buzzer to emit sound as a warning; and

requesting an emergency call and/or sending an SMS text message and location warning upon detecting a fall of the individual.

6. The system according to claim 1, wherein the ECG module is configured to answer requests from the main module with respect to execution of ECG'"'"'s and reading of battery levels.

7. The system according to claim 1, wherein the GSM module is configured to control communications via hands-free phone calling and by sending and receiving SMS text messages.

8. The system according to claim 1, wherein the GSM module is configured to mutually perform the transfer of files and data from the electrocardiogram apparatus to a data server and to forward SMS text message communications that are received to the main module.

9. The system according to claim 1, wherein the GPS module is configured to transmit position coordinates to the main module which in turn is configured to forward the position coordinates to the ECG module.

10. The system according to claim 1, wherein the XYZ module is configured to detect when the electrocardiogram apparatus is moved or falls and is configured to notify the main module.

11. The system according to claim 1, wherein the electrocardiogram apparatus includes a buzzer that is connected to the GSM module.

12. The system of claim 1, further comprising a managing branch associated with a data interface, and the managing branch includes:

a monitoring module that is configured with routines for individual assistance, clinical research and individual monitoring history;

a configuration module that is configured to classify intercurrence types and intercurrence groups, and includes routines of actions to be carried out, steps to be performed during assistance, and a general symptoms record;

a network module that includes routines for user interaction, screens/modes and access profiles;

a medical record module that includes routines for recording administered pharmaceuticals and medical specialties;

a product module that includes monitoring routines of a monitoring center;

a cooperative and affiliated members register module that includes routines for personnel management and registration.

13. The system of claim 1, wherein the electrocardiogram apparatus comprises:

a plurality of electrodes suitable for connection to the individual;

a processor;

a battery providing electrical power to the electrocardiogram apparatus;

an accelerometer;

a GSM antenna;

a GPS antenna; and

a speaker and a microphone.

14. A portable system for remotely monitoring a cardiac condition of an individual, comprising portable electrocardiogram apparatus that is configured to be physically connected to the individual and to physically accompany the individual, the electrocardiogram apparatus includes a main branch with:

a controller;

a main module connected to the controller and that is configured to perform activation functions of the electrocardiogram apparatus for monitoring the cardiac condition of the individual;

an ECG module connected to the controller and that is configured to generate electrocardiogram exams to be evaluated for checking cardiac intercurrences;

a DNA module connected to the controller and that is configured to evaluate results of the electrocardiogram exams to detect intercurrences via a probabilistic neural network;

a communications module connected to the controller and that is configured to perform a two-way communication between the electrocardiogram apparatus and a monitoring center;

a GPS module connected to the controller and that is configured to read GPS data from the electrocardiogram apparatus and retrieve latitude and longitude coordinates; and

an XYZ module connected to the controller and that is configured to read and evaluate coordinates of an accelerometer of the electrocardiogram equipment for fall detection.

15. The system of claim 14, wherein the electrocardiogram apparatus includes a buzzer that is connected to the GSM module.

16. The system of claim 14, further comprising a managing branch associated with a data interface, and the managing branch includes:

a controller;

a monitoring module connected to the controller;

a configuration module connected to the controller;

a network module connected to the controller;

a medical record module connected to the controller;

a product module connected to the controller;

a cooperative and affiliated members register module connected to the controller.

17. The system of claim 14, wherein the electrocardiogram apparatus further comprises:

a plurality of electrodes suitable for connection to the individual;

a processor;

a battery providing electrical power to the electrocardiogram apparatus;

an accelerometer;

a GSM antenna;

a GPS antenna; and

a speaker and a microphone.