Abstract: The present description relates generally to methods and systems for an electronic stethoscope device with an active headset, including a speaker to project audio data generated by a chestpiece, the headset defining a closed back volume for the speaker. In this way, the headset provides a back volume of the speakers in order to tune the frequency response of the speakers to a target frequency mimicking the frequency produced by a conventional acoustic stethoscope.

Abstract: The present description relates generally to methods and systems for power management of a digital (e.g., electronic) stethoscope. In one example, an electronic stethoscope includes a chestpiece configured to be positioned on a patient, the chestpiece including a sensor, wherein the chestpiece further includes a computer processing unit (CPU) operatively coupled to a memory storing instructions that, when executed by the CPU, cause the CPU to automatically activate the electronic stethoscope in response to detecting a touch input via the sensor.

Abstract: An electronic stethoscope device can be integrated into a conventional stethoscope to digitize auscultated sounds from the body of a patient. The device can be switched off so that the conventional stethoscope can be used as a standard stethoscope. When the device is switched on, the digitized auscultated sounds can be modified to remove the noise. Such modified sounds can be sent wirelessly from the electronic stethoscope device to a peripheral device that can receive such wireless signals, such as computer, cell phone, or cloud application, where the data can be viewed and manipulated further as desired.

Abstract: Various methods and systems are provided for monitoring a pulmonary artery pressure and cardiac synchronization of a subject. In one example, a method includes acquiring at least one of electrocardiogram (ECG) data, phonocardiogram (PCG) data, and seismocardiogram (SCG) data from a subject via a digital stethoscope, inputting one or more of the ECG data, the PCG data, and the SCG data into a machine learning algorithm, and estimating at least one of a pulmonary artery pressure and a cardiac synchronization of the subject using the machine learning algorithm. In this way, the pulmonary artery pressure and the cardiac synchronization may be estimated using artificial intelligence and inputs that are non-invasively measured by the digital stethoscope, allowing conditions like heart failure and pulmonary hypertension to be more simply and reliably detected and monitored.

Abstract: The present description relates generally to methods and systems for wireless communication between a digital (e.g., electronic) stethoscope and other electronic devices (e.g., computing and listening devices). In one example, a method comprises operating an electronic stethoscope in one of an internal digital mode and a wireless digital mode based on a detected user action. In this way, the electronic stethoscope may be quickly adjusted between projecting sound via integrated speakers and transmitting sound to an external electronic device, enabling efficient remote monitoring of a patient.

Abstract: An electronic stethoscope device can be integrated into a conventional stethoscope to digitize auscultated sounds from the body of a patient. The device can be switched off so that the conventional stethoscope can be used as a standard stethoscope. When the device is switched on, the digitized auscultated sounds can be modified to remove the noise. Such modified sounds can be sent wirelessly from the electronic stethoscope device to a peripheral device that can receive such wireless signals, such as computer, cell phone, or cloud application, where the data can be viewed and manipulated further as desired.

Abstract: Methods and systems are provided for real-time biological sensor data transmission and analysis. In one example, a method includes obtaining biological sensor data of a patient from one or more sensors of a health monitoring device and transmitting the biological sensor data in real-time from a patient's transmitting device to a clinician's remote receiving device that is wirelessly communicating with the transmitting device. Further, at the transmitting device, responsive to a request for analysis and/or storage from the remote receiving device, transmitting the real-time biological sensor data stream or a recording of the real-time biological sensor data to a computing sever for analysis and/or storage.

Abstract: Methods and systems are provided for real-time biological sensor data transmission and analysis. In one example, a method includes obtaining biological sensor data of a patient from one or more sensors of a health monitoring device and transmitting the biological sensor data in real-time from a patient's transmitting device to a clinician's remote receiving device that is wirelessly communicating with the transmitting device. Further, at the transmitting device, responsive to a request for analysis and/or storage from the remote receiving device, transmitting the real-time biological sensor data stream or a recording of the real-time biological sensor data to a computing sever for analysis and/or storage.

Abstract: The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising an electrocardiogram (ECG) sensor and an audio sensor to measure ECG data and audio data from an organ of the subject, and transmitting the ECG data and the audio data wirelessly to a computing device. A trained algorithm may be used to process the ECG data and the audio data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device.

Abstract: The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising a plurality of sensors comprising an electrocardiogram (ECG) sensor, an audio sensor, and other sensors to measure data including ECG data and audio data from an organ of the subject and transmitting the data wirelessly to a computing device. A trained algorithm may be used to process the data, such as the ECG data, the audio data, and other data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device or monitoring device.

Abstract: A wireless cardiac sensor is provided. The sensor may be utilized by a patient, on themselves, in an at home or other non-clinical environment. A sensor housing contains ECG electrodes and an audio transducer to simultaneously capture heart sound and ECG data with a single device. The ECG electrodes may be positioned on opposite sides of, and preferably adjacent to, an audio transducer sensor, for placement against a user's chest. The wireless cardiac sensor may include a button on a surface opposite the ECG electrodes and audio sensor, facilitating one-handed operation by a patient. The sensor transmits acquired data to a personal electronic device, such as a smartphone, via a wireless communication link. The personal electronic device may in turn transmit data to a centralized server and/or health care provider devices, via a wide area network.

Abstract: A wireless cardiac sensor is provided. The sensor may be utilized by a patient, on themselves, in an at home or other non-clinical environment. A sensor housing contains ECG electrodes and an audio transducer to simultaneously capture heart sound and ECG data with a single device. The ECG electrodes may be positioned on opposite sides of, and preferably adjacent to, an audio transducer sensor, for placement against a user's chest. The wireless cardiac sensor may include a button on a surface opposite the ECG electrodes and audio sensor, facilitating one-handed operation by a patient. The sensor transmits acquired data to a personal electronic device, such as a smartphone, via a wireless communication link. The personal electronic device may in turn transmit data to a centralized server and/or health care provider devices, via a wide area network.

Abstract: A wireless cardiac sensor is provided. The sensor may be utilized by a patient, on themselves, in an at home or other non-clinical environment. A sensor housing contains ECG electrodes and an audio transducer to simultaneously capture heart sound and ECG data with a single device. The ECG electrodes may be positioned on opposite sides of, and preferably adjacent to, an audio transducer sensor, for placement against a user's chest. The wireless cardiac sensor may include a button on a surface opposite the ECG electrodes and audio sensor, facilitating one-handed operation by a patient. The sensor transmits acquired data to a personal electronic device, such as a smartphone, via a wireless communication link. The personal electronic device may in turn transmit data to a centralized server and/or health care provider devices, via a wide area network.

Abstract: Methods and apparatuses for wireless communication between medical devices are provided. In some embodiments, commodity low power, low bandwidth communication protocols may be utilized to simultaneously convey multiple signals with high fidelity and reliability. For example, cardiac sound data and ECG data may be compressed using a common ADPCM component and inserted into a common BLE packet structure. Command-control data may also be inserted. Where required command-control data reporting frequency is less than the packet frequency, header bits may be utilized to convey multiple types of command-control data in a given packet byte position. Rolling packet sequence values may be inserted into the common packet structure, for use by receiving devices to identify link integrity failures.

Abstract: Methods and apparatuses for wireless communication between medical devices are provided. In some embodiments, commodity low power, low bandwidth communication protocols may be utilized to simultaneously convey multiple signals with high fidelity and reliability. For example, cardiac sound data and ECG data may be compressed using a common ADPCM component and inserted into a common BLE packet structure. Command-control data may also be inserted. Where required command-control data reporting frequency is less than the packet frequency, header bits may be utilized to convey multiple types of command-control data in a given packet byte position. Rolling packet sequence values may be inserted into the common packet structure, for use by receiving devices to identify link integrity failures.

Abstract: A wireless cardiac sensor is provided. The sensor may be utilized by a patient, on themselves, in an at home or other non-clinical environment. A sensor housing contains ECG electrodes and an audio transducer to simultaneously capture heart sound and ECG data with a single device. The ECG electrodes may be positioned on opposite sides of, and preferably adjacent to, an audio transducer sensor, for placement against a user's chest. The wireless cardiac sensor may include a button on a surface opposite the ECG electrodes and audio sensor, facilitating one-handed operation by a patient. The sensor transmits acquired data to a personal electronic device, such as a smartphone, via a wireless communication link. The personal electronic device may in turn transmit data to a centralized server and/or health care provider devices, via a wide area network.

Abstract: Methods and apparatuses for wireless communication between medical devices are provided. In some embodiments, commodity low power, low bandwidth communication protocols may be utilized to simultaneously convey multiple signals with high fidelity and reliability. For example, cardiac sound data and ECG data may be compressed using a common ADPCM component and inserted into a common BLE packet structure. Command-control data may also be inserted. Where required command-control data reporting frequency is less than the packet frequency, header bits may be utilized to convey multiple types of command-control data in a given packet byte position. Rolling packet sequence values may be inserted into the common packet structure, for use by receiving devices to identify link integrity failures.