Wearable cardioverter defibrillator with AI-based features
“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 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, capture and report data collected from the patient for presenting to clinicians, adjust thresholds for alarms and notifications based on patient's responses, improve patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant, provide tests to the patient, and learn the patient's responses to detect/assess the patient's present condition and/or need for treatment.
1 . A Wearable Cardioverter Defibrillator (WCD) system, comprising:
a support structure configured to be worn by a patient;
an energy storage module;
a discharge circuit coupled to the energy storage module;
a plurality of sensors configured to render a first input regarding a parameter of the patient associated with patient health, a first sensor in the plurality of sensors being operative to detect one or more physiological conditions of the patient, a second sensor in the plurality of sensors being operative to detect one or more environmental conditions, the one or more physiological conditions including at least a heart rhythm of the patient, the one or more environmental conditions including at least one of motion or location of the patient;
a data input source, in communication with a remote data provision service, configured to render a second input regarding the parameter of the patient associated with the patient health; and
one or more processors configured to:
receive the first input from the plurality of sensors and the second input from the data input source;
determine that the patient is experiencing a condition based on the received first input and the second input;
responsive to the determination that the patient is experiencing the condition, determine a baseline treatment for the condition based on the first input and the second input;
provide the first input and the second input to an Artificial Intelligence (AI) processing module, the AI processing module being configured to analyze the first input and the second input, and adjust the baseline treatment based on the analysis by the AI processing module, wherein the AI processing module is configured to adjust the baseline treatment upon determining a deterioration in the patient health; and
initiate a shock therapy to the patient by causing the discharge circuit to discharge an electrical charge from the energy storage module to the patient while the support structure is being worn by the patient, in response to the adjusted baseline treatment comprising shocking the patient.
2 . The WCD system of claim 1 , wherein the condition is informed by the one or more physiological conditions, the one or more environmental conditions, or a combination thereof.
3 . The WCD system of claim 1 , wherein the one or more physiological conditions further comprise at least a posture of the patient.
4 . The WCD system of claim 1 , wherein the condition is apnea.
5 . The WCD system of claim 1 , wherein the condition is stroke.
6 . The WCD system of claim 1 , wherein the one or more processors are further configured to provide a treatment for the condition based on the adjusted baseline treatment.
7 . The WCD system of claim 6 , wherein the treatment comprises the shock therapy.
8 . The WCD system of claim 1 , wherein the adjusted baseline treatment comprises providing a notification.
9 . The WCD system of claim 8 , wherein the notification comprises instructions to the patient, a bystander, or a remote recipient to provide a treatment.
10 . The WCD system of claim 8 , wherein the notification comprises information to enable a remote clinician to prescribe a treatment.
11 . The WCD system of claim 8 , wherein the notification comprises instructions to the patient to take a safety action.
12 . The WCD system of claim 1 , wherein the data input source is collocated with at least one of the one or more processors.
13 . The WCD system of claim 1 , wherein the one or more processors are two or more processors, and wherein a first of the two or more processors is configured to implement the AI processing module and to make the adjustments to the baseline treatment.
14 . The WCD system of claim 13 , wherein a second of the two or more processors is configured to initiate the shock therapy.
15 . The WCD system of claim 1 , wherein the condition is dizziness.
16 . The WCD system of claim 1 , wherein the WCD system further comprises a sound sensor, wherein the sound sensor is configured to sense one or more patient voice properties, and wherein the one or more patient voice properties include pitch, tone, rate, or slurring of a patient's voice.
17 . The WCD system of claim 16 , wherein the condition is informed by the one or more patient voice properties.
18 . The WCD system of claim 1 , wherein the condition is coughing.
19 . The WCD system of claim 1 , wherein the condition is seizure.
20 . The WCD system of claim 1 , wherein the first input and the second input comprise quantitative and measurable data.