System and method for monitoring and diagnosing patient condition based on wireless sensor monitoring data

• US 9,675,264 B2
• Filed: 03/17/2014
• Issued: 06/13/2017
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: PeerBridge Health, Inc.
• Original Assignee: PeerBridge Health, Inc.
• Inventors: Kometz, Avi, Ma, Leung-Hang, Shambroom, John, Acquista, Angelo Joseph
• Primary Examiner(s): Porter, Jr., Allen
• Application Number:
  US14/216,174
• Publication Number:
  US 20140275928A1
• Time in Patent Office: 1,184 Days
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2562/04 Arrangements of multiple sensors of the same type
• CPC Class Codes: A61B 2562/164 the sensor is mounted in or on a conformable substrate or carrier
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/327 Generation of artificial ECG signals based on measured signals, e.g. to compensate for missing leads
• CPC Class Codes: A61B 5/341 Vectorcardiography [VCG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61N 1/365 controlled by a physiological parameter, e.g. heart potential evoked response A61N1/371
• CPC Class Codes: A61N 1/36585 controlled by two or more physical parameters
• CPC Class Codes: A61N 1/3956 Implantable devices for applying electric shocks to the heart, e.g. for cardioversion
• CPC Class Codes: A61N 1/3987 characterised by the timing or triggering of the shock
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A device adapted to attach to a subject for detecting an ECG signal of the subject. The device includes a first, a second, and a third electrode, where the electrodes form an orthogonal configuration. Two channels of ECG data can be obtained using a common electrode, and can be further combined to obtain a further channel using vector mathematics. The channel combination can be performed at vector angles suitable for optimizing the detection of various features of the ECG spectra of the subject. A method of using an implantable cardiac device together with surface-attached wireless sensor(s) is also provided where the acquired data from the implantable cardiac device and from the surface-attached wireless sensor(s) are both used for diagnosing patient'"'"'s heart conditions and administering appropriate therapies.

Claims

1. A method of managing a heart condition for a subject, the heart condition comprising one or more of ventricular arrhythmia, atrial arrhythmia, ventricular fibrillation, ventricular tachycardia, atrial fibrillation, and bradycardia, the method comprising:

(a) detecting intrathoracic electrogram signals of the subject over a first defined period of time by at least one implantable cardiac device having a sensor component implanted in the heart of the subject;

(b) determining whether the subject is experiencing a heart condition based on the electrogram signals;

(c) detecting ECG signals of the subject over the first defined period of time by at least one surface sensor attached to the skin of a subject,

(d) determining whether the subject is experiencing the heart condition based on the ECG signals;

(e) based upon the results of each of steps (b) and (d), determining whether to provide an electrical stimulation to influence an electrical system of the heart of the subject in order to address the heart condition; and

(f) performing, by the implantable cardiac device, the electrical stimulation if the determination result in step (e) is positive;

(g) wirelessly sending, by the at least one implantable cardiac device, selected information relating to at least one of the electrogram signals in step (a), the determination result in step (b) and the determination result in step (e) to the at least one surface sensor; and

(h) wirelessly sending, by the at least one surface sensor, the information received from the at least one implantable cardiac device, as well as selected information relating to at least one of the ECG signals in step (c) and the determination result in step (d), to an external computing device for storage or further analysis.

2. The method of claim 1, wherein the at least one implantable cardiac device is an implantable cardioverter defibrillator or a pacemaker.

3. The method of claim 1, wherein the determining in step (e) further comprises:

when the result of step (b) is negative, determining not to perform the electrical stimulation.

4. The method of claim 1, wherein the determining in step (e) further comprises:

when the results of steps (b) and (d) are both positive, determining to perform the electrical stimulation.

5. The method of claim 1, wherein the determining in step (e) further comprises:

when the result of step (b) is positive and the result of (d) is negative;

repeating steps (a)-(d) for a predetermined number of times; and

(j) determining whether to perform the electrical stimulation based on the combination of determination result of each of the repetitions of steps (a)-(d).

6. The method of claim 1, further comprising:

sending, by the external computing device, an alert to a medical personnel based on the information received by the computing device.

7. The method of claim 1, wherein the determination in each of steps (b), (d), and (e) is performed by a computing device wirelessly linked to each of the at least one surface sensor and the at least one implantable cardiac device based on the ECG signals and electrogram signals received by the computing device from the at least one surface sensor and the at least one implantable cardiac device.