Wearable cardioverter defibrillator with ai-based features

Patent metadata

Field	Value
Publication number	US-2020398065-A1
Application number	US-202016946512-A
Country	US
Kind code	A1
Filing date	Jun 24, 2020
Priority date	Jun 24, 2019
Publication date	Dec 24, 2020
Grant date	—

Abstract

“Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including:
garment fitting and adjustment; analyzing electrocardiogram (“ECG”), other sensor data and/or other patient data (e.g., age, gender, previous medical conditions, etc.) in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.); detect imminent failure of the wearable medical device components capturing and reporting data collected from the patient for presenting to clinicians adjusting thresholds for alarms and notifications based on patient's responses; improving patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant; providing tests to the patient (e.g., grip test, dexterity tests, balance tests, etc.) and learning the patient's responses to detect/assess the patient's present condition and/or need for treatment; learning the patient's voice, activity, posture, time of day, etc. for implementing intelligent voice recognition/activation of the medical device.

First claim

What is claimed is:

1 . A Wearable Cardioverter Defibrillator (WCD) system, comprising:
a support structure configured to be worn by an ambulatory patient; an energy storage module configured to store an electrical charge; a discharge circuit coupled to the energy storage module; a plurality of sensors, a first sensor in the plurality being operative to detect physiological conditions of the ambulatory patient, a second sensor in the plurality being operative to detect environmental conditions, the physiological conditions including at least a heart rhythm of the ambulatory patient, the environmental conditions including at least one of motion or location; a data input source in communication with a remote data provision service, the data input source being operative to receive data from the data provision service; and a processor configured to:
provide input from the plurality of sensors and from the data input source to an Artificial Intelligence (AI) processing module, the AI processing module being configured to analyze the input and make a determination regarding a condition of either the WCD system or the ambulatory patient,
make adjustments based on the analysis by the AI processing module, and
initiate a shock therapy to the ambulatory patient by causing the discharge circuit to discharge the electrical charge to the patient while being worn by the ambulatory patient.

2 . The WCD system recited in claim 1 , wherein the AI processing module comprises one or more of a neural network, a convolutional neural network, a support vector machine, stochastic computing circuits, and a random forest.

Assignees

• West Affum Holdings Corp

Inventors

• Engman Zoie R
• Roane Erick M
• Sjoquist Steven E
• Niegowski Jonathan P
• Buchanan Robert R

Classifications

• A61N1/3925

  Monitoring; Protecting · CPC title

• A61N1/3904 Primary

  External heart defibrillators [EHD] · CPC title

• G05B13/027

  using neural networks only · CPC title

• G05B13/0265

  the criterion being a learning criterion · CPC title