# US 2025/0082249 A1 · Method And System For Detecting Ventricular Fibrillation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0082249 A1 - Document ID: US20250082249A1 - Status: Published application - Kind: A1 - Application number: 18/513,459 - Filed: 2023-11-17 - Published: 2025-03-13 - Earliest claimed: 2023-09-08 - Assignees: West Affum Holdings DAC - Applicants: West Affum Holdings DAC - Inventors: Joseph L Sullivan - Web page: https://patentgrep.com/patent/US20250082249A1 ## CPC - A61B 5/361: Detecting fibrillation - A61B 5/363: Detecting tachycardia or bradycardia - A61B 5/352: Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval - A61B 5/366: Detecting abnormal QRS complex, e.g. widening - A61B 5/6805: {Vests, e.g. shirts or gowns} - A61B 5/7203: {for noise prevention, reduction or removal} - A61B 5/7221: {Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217)} - A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms} - A61B 2562/04: Arrangements of multiple sensors of the same type - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A wearable medical system (WMS) for detecting ventricular fibrillation (VF). The WMS includes a support structure configured to be worn by a patient and a plurality of ECG electrodes to sense a plurality of ECG signals of the patient. The WMS further includes a processor in communication with the plurality of ECG electrodes. The processor is configured to receive the plurality of ECG signals and detect a plurality of QRS complexes based on the plurality of ECG signals. The processor is further configured to determine a heart rate of the patient based on an R-R interval between two QRS complexes and detect if the patient is experiencing potential VF based on the heart rate and optionally a width of the QRS complexes. Further, the processor is configured to calculate a plurality of measurements and determine whether the potential VF is actual VF or noise based on the plurality of measurements. ## Claims ### Claim 1 A wearable medical system, the system comprising: a support structure configured to be worn by a patient; a plurality of ECG electrodes to sense a plurality of ECG signals of the patient; and a processor in communication with the plurality of ECG electrodes, the processor configured to: receive the plurality of ECG signals; detect a plurality of QRS complexes based on the plurality of ECG signals; determine a heart rate of the patient based on an R-R interval between two QRS complexes; detect if the patient is experiencing potential ventricular fibrillation based on the heart rate and optionally a width of the QRS complexes; calculate a plurality of measurements based on the QRS complexes; and determine whether the potential ventricular fibrillation is actual ventricular fibrillation or noise based on the plurality of measurements. ### Claim 2 (depends on 1) The wearable medical system of claim 1, wherein the plurality of measurements comprises one or more of a minimum heart rate, a predicted heart rate, a predicted organization, a predicted baseline shift, and a minimum median absolute deviation. ### Claim 3 (depends on 2) The wearable medical system of claim 2, wherein the plurality of ECG electrodes comprises a first set of ECG electrodes corresponding to a first channel for QRS detection, a second set of ECG electrodes corresponding to a second channel for QRS detection, a third set of ECG electrodes corresponding to a third channel for QRS detection, and a fourth set of ECG electrodes corresponding to a fourth channel for QRS detection. ### Claim 4 (depends on 3) The wearable medical system of claim 3, wherein the processor is further configured to select the channel or channels having a channel organization within a threshold, and wherein the threshold is configured to remove one or more noisy channels. ### Claim 5 (depends on 4) The wearable medical system of claim 4, wherein to determine whether the potential ventricular fibrillation is actual ventricular fibrillation or noise, the processor is configured to: select the channel or channels having the channel organization within the threshold for a plurality of segments, wherein each segment is about every 3 seconds to about every 5 seconds, calculate the minimum heart rate of the selected channels for each segment; calculate the minimum median absolute deviation of R-R intervals of each selected channel for each segment; select an optimal channel having a lowest estimated heart rate error for each segment; calculate the predicted heart rate, the predicted organization, and the predicted baseline shift of the optimal channel for each segment; and analyze the minimum heart rate, the minimum median absolute deviation, the predicted heart rate, the predicted organization, and the predicted baseline shift to determine if the potential ventricular fibrillation is actual ventricular fibrillation or noise for each segment; wherein the patient has ventricular fibrillation when actual ventricular fibrillation is determined for at least four of five consecutive segments. ### Claim 6 (depends on 1) The wearable medical system of claim 1, wherein the processor is configured to select a plurality of segments from the plurality of QRS complexes within a segment agreement threshold, wherein each segment is about every 3 seconds to about every 5 seconds, and wherein the segment agreement threshold removes one or more noisy segments. ### Claim 7 (depends on 1) The wearable medical system of claim 1, wherein the processor is configured to provide an alarm to a patient or medical personnel when the processor determines actual ventricular fibrillation. ### Claim 8 A method for detecting ventricular fibrillation, the method comprising: receiving a plurality of ECG signals from a plurality of ECG electrodes worn by a patient; detecting a plurality of QRS complexes based on the plurality of ECG signals; determining a heart rate of the patient based on an R-R interval between two QRS complexes; detecting that the patient is experiencing potential ventricular fibrillation based on the heart rate and optionally a width of the QRS complexes; calculating a plurality of measurements based on the QRS complexes; and determining whether the potential ventricular fibrillation is actual ventricular fibrillation or noise based on the plurality of measurements. ### Claim 9 (depends on 8) The method of claim 8, wherein the plurality of measurements comprises one or more of a minimum heart rate, a predicted heart rate, a predicted organization, a predicted baseline shift, and a minimum median absolute deviation. ### Claim 10 (depends on 9) The method of claim 9, wherein the plurality of ECG electrodes comprises a first set of ECG electrodes corresponding to a first channel for QRS detection, a second set of ECG electrodes corresponding to a second channel for QRS detection, a third set of ECG electrodes corresponding to a third channel for QRS detection, and a fourth set of ECG electrodes corresponding to a fourth channel for QRS detection. ### Claim 11 (depends on 10) The method of claim 10, further comprising selecting the channel or channels having a channel organization within a threshold, wherein the threshold is configured to remove one or more noisy channels. ### Claim 12 (depends on 11) The method of claim 11, wherein determining if the potential ventricular fibrillation is actual ventricular fibrillation or noise comprises: selecting the channel or channels having the channel organization within the threshold for a plurality of segments, wherein each segment is about every 3 seconds to about every 5 seconds; calculating the minimum heart rate of the selected channels for each segment; calculating the minimum median absolute deviation of R-R intervals of each selected channel for each segment; selecting an optimal channel having a lowest estimated heart rate error for each segment; calculating the predicted heart rate, the predicted organization, and the predicted baseline shift of the optimal channel for each segment; and analyzing the minimum heart rate, the minimum median absolute deviation, the predicted heart rate, the predicted organization, and the predicted baseline shift to determine if the potential ventricular fibrillation is actual ventricular fibrillation or noise for each segment, wherein the patient has ventricular fibrillation when actual ventricular fibrillation is determined for at least four of five consecutive segments. ### Claim 13 (depends on 8) The method of claim 8, further comprising selecting a plurality of segments from the plurality of QRS complexes within a segment agreement threshold, wherein each segment is about every 3 seconds to about every 5 seconds, and wherein the segment agreement threshold removes one or more noisy segments. ### Claim 14 (depends on 8) The method of claim 8, further comprising providing an alarm to the patient or medical personnel when actual ventricular fibrillation is detected. ### Claim 15 A non-transitory computer-readable medium, encoded with instructions for detecting ventricular fibrillation stored thereon, that when executed by a computing device cause the computing device to perform operations for detecting ventricular fibrillation, the operations comprising: receiving a plurality of ECG signals from a plurality of ECG electrodes worn by a patient; detecting a plurality of QRS complexes based on the plurality of ECG signals; determining a heart rate of the patient based on an R-R interval between two QRS complexes; detecting that the patient is experiencing potential ventricular fibrillation based on the heart rate and optionally a width of the QRS complexes; calculating a plurality of measurements based on the QRS complexes; and determining whether the potential ventricular fibrillation is actual ventricular fibrillation or noise based on the plurality of measurements. ### Claim 16 (depends on 15) The non-transitory computer-readable medium of claim 15, wherein the plurality of measurements comprises one or more of a minimum heart rate, a predicted heart rate, a predicted organization, a predicted baseline shift, and a median absolute deviation. ### Claim 17 (depends on 16) The non-transitory computer-readable medium of claim 16, wherein the plurality of ECG electrodes comprises a first set of ECG electrodes corresponding to a first channel for QRS detection, a second set of ECG electrodes corresponding to a second channel for QRS detection, a third set of ECG electrodes corresponding to a third channel for QRS detection, and a fourth set of ECG electrodes corresponding to a fourth channel for QRS detection. ### Claim 18 (depends on 17) The non-transitory computer-readable medium of claim 17, the operations further comprising selecting the channel or channels having a channel organization within a threshold, wherein the threshold is configured to remove one or more noisy channels. ### Claim 19 (depends on 18) The non-transitory computer-readable medium of claim 18, wherein determining if the potential ventricular fibrillation is actual ventricular fibrillation or noise comprises: selecting the channel or channels having the channel organization within the threshold for a plurality of segments, wherein each segment is about every 3 seconds to about every 5 seconds; calculating the minimum heart rate of the selected channels for each segment; calculating the minimum median absolute deviation of R-R intervals of each selected channel for each segment; selecting an optimal channel having a lowest estimated heart rate error for each segment; calculating the predicted heart rate, the predicted organization, and the predicted baseline shift of the optimal channel for each segment; and analyzing the minimum heart rate, the minimum median absolute deviation, the predicted heart rate, the predicted organization, and the predicted baseline shift to determine if the potential ventricular fibrillation is actual ventricular fibrillation or noise for each segment, wherein the patient has ventricular fibrillation when actual ventricular fibrillation is determined for at least four of five consecutive segments. ### Claim 20 (depends on 15) The non-transitory computer-readable medium of claim 15, the operations further comprising selecting a plurality of segments from the plurality of QRS complexes within a segment agreement threshold, wherein each segment is about every 3 seconds to about every 5 seconds, and wherein the segment agreement threshold removes one or more noisy segments.