Patents Assigned to AliveCor, Inc.
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Patent number: 12357217Abstract: An apparatus includes sporting equipment, a sensor assembly, and a processing device. The sensor assembly includes a first sensor and a second sensor that are integrated into the sporting equipment to contact skin of a user. The sensor assembly produces electrical signals indicative of physiological signals of the user. The processing device generates an electrocardiogram (ECG) based on the electrical signals.Type: GrantFiled: March 25, 2021Date of Patent: July 15, 2025Assignee: ALIVECOR, INC.Inventor: David Kumar
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Patent number: 12357178Abstract: A mobile electrocardiogram (ECG) device is described, comprising an electrode assembly comprising electrodes that sense heart-related signals when in contact with a body of a user, and produce electrical signals representing the sensed heart-related signals. The mobile ECG device further comprises a light-emitting device to facilitate an optimal placement of the electrode on the body of the user. The mobile ECG device further comprises a housing containing the electrode assembly, the converter assembly, the transmitter, and the light-emitting device. A first electrode of the electrode assembly forms a first side of the housing and comprises an opening through which the light-emitting device provides the UV light.Type: GrantFiled: September 28, 2022Date of Patent: July 15, 2025Assignee: ALIVECOR, INC.Inventors: David E. Albert, Bruce Satchwell
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Patent number: 12350020Abstract: Embodiments of the present disclosure provide a monitoring device that combines blood pressure, SpO2, and ECG monitoring functionality into a single handheld device and can measure these parameters simultaneously. The monitoring device may comprise a first sensor comprising an electrode to measure electrical signals corresponding to cardiac activity of a user's heart and a second sensor comprising an electrode as well as an optical sensor to perform a PPG and measure an amount of light absorbed by the blood of the user concurrently with measurement of the electrical signals. The optical sensor may generate a blood pressure signal and an oxygen saturation signal based at least in part on the amount of light absorbed by the blood of the user. The optical sensor may include a neural network trained to estimate blood pressure based on PPG measurements and demographic information of the user, as discussed in further detail herein.Type: GrantFiled: August 4, 2022Date of Patent: July 8, 2025Assignee: ALIVECOR, INC.Inventor: Sean Cohen
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Patent number: 12318209Abstract: Apparatuses and methods for extracting, de-noising, and analyzing electrocardiogram signals. Any of the apparatuses described herein may be implemented as a (or as part of a) computerized system. For example, described herein are apparatuses and methods of using them or performing the methods, for extracting and/or de-noising ECG signals from a starting signal. Also described herein are apparatuses and methods for analyzing an ECG signal, for example, to generate one or more indicators or markers of cardiac fitness, including in particular indicators of atrial fibrillation. Described herein are apparatuses and method for determining if a patient is experiencing a cardiac event, such as an arrhythmia.Type: GrantFiled: June 8, 2021Date of Patent: June 3, 2025Assignee: ALIVECOR, INC.Inventors: Conner Daniel Cross Galloway, David E. Albert
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Patent number: 12318208Abstract: Embodiments of the present disclosure provide a mobile electrocardiogram (ECG) sensor comprising an electrode assembly comprising electrodes, wherein the electrode assembly senses heart-related signals when in contact with a body of a user, and produces electrical signals representing the sensed heart-related signals. The ECG sensor further comprises a processing device, operatively coupled to the electrode assembly, the processing device to provide the sensed heart-related signals to a machine learning module trained to predict a twelve-lead QT interval (QTc) value from the mobile ECG sensor comprising less than twelve leads. The ECG sensor also comprises a housing containing the electrode assembly and the processing device.Type: GrantFiled: June 24, 2021Date of Patent: June 3, 2025Assignee: ALIVECOR, INC.Inventor: Matthew Schram
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Publication number: 20250160761Abstract: Disclosed are systems for non-invasively determining a measurement of an analyte. The systems include an electrocardiogram sensor and a processing device operatively coupled to the electrocardiogram sensor. The processing device can execute instructions to receive electrocardiogram data from the electrocardiogram sensor and apply a machine learning model, wherein the machine learning model has been trained based on previous electrocardiogram data associated with a subject and source of an analyte measurement associated with the subject. The system may also determine an indication of a level of the analyte based on the electrocardiogram data.Type: ApplicationFiled: January 17, 2025Publication date: May 22, 2025Applicant: AliveCor, Inc.Inventors: Conner Daniel Cross Galloway, Alexander Vainius Valys, David E. Albert, Frank Losasso Petterson
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Patent number: 12293287Abstract: A set of training electrocardiograms (ECGs) for each of a plurality of subjects is processed using a machine learning model to generate an output for each training ECG of each of the plurality of subjects. Training ECGs for each subject are labeled with an identity of the subject. A machine learning model is trained by comparing the output generated for each training ECG to a corresponding label of the training ECG to generate an identity model to identify ECGs of a first subject of the plurality of subjects. A first ECG is received from an ECG sensor and input to the identity model, which generates an output indicating whether the first ECG corresponds to the first subject. In response to the output indicating that the first ECG does not correspond to the first subject, a condition that the first subject has or may develop is determined based on the output.Type: GrantFiled: December 20, 2022Date of Patent: May 6, 2025Assignee: ALIVECOR, INC.Inventors: Conner Daniel Galloway, Alexander Vainius Valys, David E. Albert, Frank Losasso Petterson
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Patent number: 12263003Abstract: Described herein are devices, systems, and methods for sensing, generating, and time aligning one or more of the 12 leads of a standard ECG. A set of electrodes may be used to perform an electrocardiogram (ECG) of a user to generate a set of limb leads including a first lead I. A Wilson's Central Terminal (WCT) value may be determined using a subset of the set of limb leads. In response to an electrode of the set of electrodes contacting the user's chest, a precordial lead may be generated based on electric potentials sensed by the electrode while contacting the user's chest and the WCT value. As the precordial lead is generated, a corresponding second lead I is simultaneously generated. The corresponding second lead I is used to time align the set of limb leads and the precordial lead.Type: GrantFiled: May 27, 2022Date of Patent: April 1, 2025Assignee: ALIVECOR, INC.Inventor: David E. Albert
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Patent number: 12244999Abstract: A digital stethoscope includes a stethoscope housing defining a housing edge. The digital stethoscope also includes a surface region secured to the stethoscope housing at the housing edge, and a number of microphones. The digital stethoscope also includes a processing device disposed within the stethoscope housing and in communication with the microphones. The processing device receives the digital audio data from the microphones.Type: GrantFiled: January 8, 2024Date of Patent: March 4, 2025Assignee: ALIVECOR, INC.Inventors: David Nalin Kumar, Vinod Khosla
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Patent number: 12232876Abstract: Disclosed is an ECG sensor having a packaging label form factor. The ECG sensor may comprise a set of electrodes configured to sense heart-related electrical activity when in contact with skin of a user and produce electrocardiogram (ECG) waveforms representing the sensed heart-related electrical activity. The ECG sensor may further comprise a processor configured to: identify, using a machine learning model, the user based on the ECG waveforms, convert the ECG waveforms to a modulated signal that carries the ECG waveforms representing the sensed heart-related electrical activity, and transmit the modulated signal wirelessly to a computing device using a transmitter. The ECG sensor may also comprise a housing having a first layer and a second layer, wherein the set of electrodes, the processor, and the transmitter are all disposed between the first layer and the second layer of the housing, and wherein the housing has a packaging-label form factor.Type: GrantFiled: December 5, 2023Date of Patent: February 25, 2025Assignee: ALIVECOR, INC.Inventor: Sean Cohen
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Patent number: 12226236Abstract: Disclosed are systems for non-invasively determining a measurement of an analyte. The systems include an electrocardiogram sensor and a processing device operatively coupled to the electrocardiogram sensor. The processing device can execute instructions to receive electrocardiogram data from the electrocardiogram sensor and apply a machine learning model, wherein the machine learning model has been trained based on previous electrocardiogram data associated with a subject and source of an analyte measurement associated with the subject. The system may also determine an indication of a level of the analyte based on the electrocardiogram data.Type: GrantFiled: July 21, 2021Date of Patent: February 18, 2025Assignee: AliveCor, Inc.Inventors: Conner Daniel Cross Galloway, Alexander Vainius Valys, David E. Albert, Frank Losasso Petterson
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Patent number: 12121359Abstract: Embodiments of the present disclosure are directed to an electrocardiogram (ECG) monitoring device embedded into the construct of a controller (e.g., video game controller, steering wheel etc.) to monitor a user's heart health and diagnose various conditions (e.g., AFib, tachycardia, bradycardia, etc.). The controller may comprise a set of electrodes including electrodes to contact the user's hands and one or more electrodes on the back of the controller that can be used to contact the user's extremities as a 3rd contact point to provide additional leads for higher accuracy ECG sensing. The set of electrodes may be positioned at locations on the controller where the user's hands are relatively stable, thus minimizing motion artifacts caused by muscular movement (thereby allowing for signal stability and longevity).Type: GrantFiled: April 19, 2021Date of Patent: October 22, 2024Assignee: ALIVECOR, INC.Inventors: Ahmad N. Saleh, Sean Cohen
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Patent number: 12097035Abstract: Disclosed systems and method receive electrocardiogram (EKG) data of a subject. The EKG data comprises a record of at least a full beat of the subject. The EKG data is input into a machine learning model to generate an output. The output can include a segmentation of the full beat or a measurement of a QT interval of the subject.Type: GrantFiled: May 8, 2019Date of Patent: September 24, 2024Assignee: ALIVECOR, INC.Inventors: David E. Albert, Alexander Vainius Valys, Conner Daniel Cross Galloway
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Patent number: 12064282Abstract: Embodiments of the present disclosure relate to determining an optimal location on the body of a person where heart sounds may be optimally heard. The optimal location may be determined at a time prior to the attempted auscultation and ECG data corresponding to the optimal location may be stored in a memory of an auscultation device. Subsequently, when a e.g., physician wishes to listen to the heart sounds of the person, the physician may place the auscultation device at a first location on the patient. The auscultation device may periodically perform an ECG at a current location and use the ECG data at the current location and the ECG data at the optimal location to determine and provide guidance to the physician regarding a direction in which the auscultation device should be moved in order to reach the optimal location.Type: GrantFiled: July 15, 2021Date of Patent: August 20, 2024Assignee: ALIVECOR, INC.Inventors: Sean Cohen, Ahmad N. Saleh
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Patent number: 11980451Abstract: Described herein are methods, systems, and software for monitoring blood pressure. In some embodiments, a using a mobile device is used. The blood pressure monitoring system utilizes heart rate measurements at two separate locations on the body to calculate a differential pulse arrival time which is used to estimate blood pressure. The heart rate measurements can be taken simultaneously, or they can be taken sequentially while simultaneously taking ECG measurement. If taken sequentially, the heart rate measurements are aligned with the ECG to determine the differential. Accurate, inexpensive, and discreet blood pressure monitoring is thus provided.Type: GrantFiled: January 27, 2022Date of Patent: May 14, 2024Assignee: ALIVECOR, INC.Inventor: David E. Albert
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Patent number: 11915825Abstract: Disclosed systems include an electrocardiogram sensor and a processing device operatively coupled to the electrocardiogram sensor. The processing device receives electrocardiogram data from the electrocardiogram sensor and applies a machine learning model to the received electrocardiogram data. The machine learning model has been trained based on previous electrocardiogram data of a plurality of subjects. The electrocardiogram data of the plurality of subjects have one or more associated analyte measurements. The processing device may determine an indication of a level of the analyte based on the electrocardiogram data.Type: GrantFiled: February 12, 2018Date of Patent: February 27, 2024Assignee: AliveCor, Inc.Inventors: Conner Daniel Cross Galloway, Alexander Vainius Valys, Frank Losasso Petterson, Daniel Treiman
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Patent number: 11903681Abstract: Described herein are systems, devices, and methods for cardiac monitoring. In particular, the systems, devices, and methods described herein may be used to conveniently sense the presence of an intermittent arrhythmia in an individual. The systems, devices, and methods described herein may be further configured to sense an electrocardiogram.Type: GrantFiled: March 30, 2020Date of Patent: February 20, 2024Assignee: ALIVECOR, INC.Inventors: David E. Albert, Omar Dawood, Ravi Gopalakrishnan, Fei Wang, Euan Thomson, Iman Abuzeid
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Patent number: 11882402Abstract: A digital stethoscope includes a stethoscope housing defining a housing edge. The digital stethoscope also includes a surface region secured to the stethoscope housing at the housing edge, and a number of microphones. The digital stethoscope also includes a processing device disposed within the stethoscope housing and in communication with the microphones. The processing device receives the digital audio data from the microphones.Type: GrantFiled: July 8, 2021Date of Patent: January 23, 2024Assignee: ALIVECOR, INC.Inventors: David Nalin Kumar, Vinod Khosla
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Patent number: 11877830Abstract: Disclosed herein are devices, systems, methods and platforms for continuously monitoring the health status of a user, for example the cardiac health status. The present disclosure describes systems, methods, devices, software, and platforms for continuously monitoring a user's low-fidelity health-indicator data (for example and without limitation PPG signals, heart rate or blood pressure) from a user-device in combination with corresponding (in time) data related to factors that may impact the health-indicator (“other-factors”) to determine whether a user has normal health as judged by or compared to, for example and not by way of limitation, either (i) a group of individuals impacted by similar other-factors, or (ii) the user him/herself impacted by similar other-factors.Type: GrantFiled: September 24, 2019Date of Patent: January 23, 2024Assignee: ALIVECOR, INC.Inventors: Alexander Vainius Valys, Frank Losasso Petterson, Conner Daniel Cross Galloway, David E. Albert, Ravi Gopalakrishnan, Lev Korzinov, Fei Wang, Euan Thomson, Nupur Srivastava, Omar Dawood, Iman Abuzeid
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Patent number: D1025372Type: GrantFiled: October 5, 2021Date of Patent: April 30, 2024Assignee: ALIVECOR, INC.Inventors: David E. Albert, Bruce Satchwell, Kim Norman Barnett, Joel Q. Xue