SYSTEMS FOR SAFE AND REMOTE OUTPATIENT ECG MONITORING

• US 20160246937A1
• Filed: 04/29/2016
• Published: 08/25/2016
• Est. Priority Date: 10/14/2005
• Status: Active Grant

• Current Assignee: Medicalgorithmics S.A.
• Original Assignee: Medicalgorithmics S.A.
• Inventors: Dziubinski, Marek, Piotrowicz, Ryszard, Piotrowicz, Ewa, Baranowski, Rafal
• Granted Patent: US 9,846,764 B2
• Time in Patent Office: Days
• 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 5/1118 Determining activity level
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/346 Analysis of electrocardiograms
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/36 Detecting PQ interval, PR interval or QT interval
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• 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 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system and method providing outpatient ECG monitoring and safe home based cardiac tele-rehabilitation. The system includes a recordation module for recording ECG signals using at least one lead, a tele-rehabilitation module for home based exercise management for a patient'"'"'s recovery from a heart disease, the tele-rehabilitation module including a processing module for recognizing erroneous data from the ECG signals and an analysis module for calculating beat-to-beat annotations and determining if an ECG event and/or if a QT interval duration change has occurred. The system can include an exercise module for guiding the patient during an exercise session, a visual display that informs the patient to start and/or to stop the tele-rehabilitation exercise, a visual display and/or audible signal that informs the patient of an incoming or a missed tele-rehabilitation exercise session, and/or a communication module for transmitting/receiving data between the a cardiac tele-rehabilitation module and a physician/monitoring centre.

Claims

1. A system for remote monitoring of a patient'"'"'s state, the system comprising:

a tele-rehabilitation module configured to acquire real-time continuous full-disclosure vital signs;

an interactive user interface configured to acquire patient reported subjective symptoms;

an analysis module configured to automatically interpret the acquired signals and automatically detect events, the analysis processor further configured to correlate the patient reported subject symptoms with the full-disclosure vital signs, the automatically interpreted signals, and the automatically detected events; and

a communications module configured to transmit the signals representative of the continuous full-disclosure vital signs, the patient reported subject symptoms, the automatically detected events, and the interpreted acquired signals

2. The system of claim 1, wherein the continuous full-disclosure vital signs are real-time patient vital signs acquired during a diagnostic session on an ongoing basis.

3. The system of claim 1 further comprising a memory configured to store the signals representative of the continuous full-disclosure vital signs and interpreted acquired signals.

4. The system of claim 1, wherein the interactive interface allows for defining characteristics of a symptom and defining the patient'"'"'s activity and circumstances related to an occurrence of the symptom.

5. The system of claim 1 further comprising a reporting module configured to report annotations for every automatically detected event and a noise level for at least one segment of the acquired real-time continuous full-disclosure vital signs.

6. The system of claim 1, wherein the analysis module is further configure to recognize erroneous data from the acquired real-time continuous full-disclosure vital signs.

7. A method for remote monitoring of a patient'"'"'s state, the method comprising:

acquiring, using a tele-rehabilitation module, real-time continuous full-disclosure vital signs;

receiving, via an interactive user interface, patient reported subjective symptoms;

automatically interpreting, using an analysis module, the acquired signals and automatically detect events, the analysis processor further configured to correlate the patient reported subject symptoms with the full-disclosure vital signs, the automatically interpreted signals, and the automatically detected events; and

transmitting, via a communications module, the signals representative of the continuous full-disclosure vital signs, the patient reported subject symptoms, the automatically detected events, and the interpreted acquired signals

8. The method of claim 7, wherein the continuous full-disclosure vital signs are real-time patient vital signs acquired during a diagnostic session on an ongoing basis.

9. The method of claim 7 further comprising storing, in a memory, the signals representative of the continuous full-disclosure vital signs and interpreted acquired signals.

10. The method of claim 7 further comprising enabling, via the interactive interface, definition of characteristics of a symptom and definition of the patient'"'"'s activity and circumstances related to an occurrence of the symptom.

11. The method of claim 7 further comprising reporting, via a reporting module, annotations for every automatically detected event and a noise level for at least one segment of the acquired real-time continuous full-disclosure vital signs.

12. The method of claim 7 further comprising recognizing, via the analysis module, erroneous data from the acquired real-time continuous full-disclosure vital signs.