An implantable medical device (IMD) includes electronic circuitry, and one or more processors configured to switch operation of a first coil of the electronic circuitry between the first and second modes. When in the first mode, the one or more processors are configured to manage operation of the electronic circuitry and the first coil to at least one of sense biological signals, deliver treatment for a non-physiologic condition, or wirelessly communicate with at least one of an external device or second implanted device. When in the second mode, the one or more processors are configured to manage operation of the electronic circuitry and the first coil to detect the time varying MR generated gradient field along the first axis.

An implantable medical device (IMD) includes electronic circuitry, and one or more processors configured to switch operation of a first coil of the electronic circuitry between the first and second modes. When in the first mode, the one or more processors are configured to manage operation of the electronic circuitry and the first coil to at least one of sense biological signals, deliver treatment for a non-physiologic condition, or wirelessly communicate with at least one of an external device or second implanted device. When in the second mode, the one or more processors are configured to manage operation of the electronic circuitry and the first coil to detect the time varying MR generated gradient field along the first axis.

A method includes determining a heart beat signal during acquisition of MR images obtained at a plurality of cardiac cycles; determining at least one physiological parameter of a heart obtained at the plurality of cardiac cycles; determining a model including, determining, in each of the cardiac cycles, a variable time interval of variable duration and at least one additional time interval based on the heart beat signal and the at least one physiological parameter, the at least one additional time interval having a lower variability in duration than the variable time interval; determining a duration of the variable time interval and a duration of the cardiac cycle for each of the cardiac cycles based on the heart beat signal and the at least one physiological parameter; and assigning the MR images to the different cardiac phases based on the variable time interval and each of the cardiac cycles.

A method includes determining a heart beat signal during acquisition of MR images obtained at a plurality of cardiac cycles; determining at least one physiological parameter of a heart obtained at the plurality of cardiac cycles; determining a model including, determining, in each of the cardiac cycles, a variable time interval of variable duration and at least one additional time interval based on the heart beat signal and the at least one physiological parameter, the at least one additional time interval having a lower variability in duration than the variable time interval; determining a duration of the variable time interval and a duration of the cardiac cycle for each of the cardiac cycles based on the heart beat signal and the at least one physiological parameter; and assigning the MR images to the different cardiac phases based on the variable time interval and each of the cardiac cycles.

The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

A T1-weighted turbo-spin-echo magnetic resonance imaging system configured to capture data associated with a subject's heart during a time period and produce MR images has a dark-blood preparation module, a data capture module, and an image reconstruction module. The dark-blood preparation module performs dark-blood preparation through double inversion during some, but not all of the heartbeats within the time period. The data capture module configured performs data readouts to capture imaging data of an imaging slice during every heartbeat in which dark-blood preparation is performed. The data capture module also performs a steady state maintenance step during every heartbeat in which dark-blood preparation is not performed in order to maintain maximum T1-weighting. The image reconstruction module configured to reconstruct a T1-weighted image based on the imaging data.

Systems, devices, and methods for electroporation ablation therapy are disclosed, with a protection device for isolating electronic circuitry, devices, and/or other components from a set of electrodes during a cardiac ablation procedure. A system can include a first set of electrodes disposable near cardiac tissue of a heart and a second set of electrodes disposable in contact with patient anatomy. The system can further include a signal generator configured to generate a pulse waveform, where the signal generator coupled to the first set of electrodes and configured to repeatedly deliver the pulse waveform to the first set of electrodes. The system can further include a protection device configured to selectively couple and decouple an electronic device to the second set of electrodes.

A bio-signal measuring apparatus includes a sensing apparatus configured to sense electrocardiogram data representing an electrical change according to a pulse of an object and sense heart sound data according to the pulse and a processing apparatus configured to store the electrocardiogram data in a memory. The processing apparatus is further configured to analyze the electrocardiogram data to determine whether or not an abnormal signal is generated in the electrocardiogram data, when the abnormal signal is detected to be generated in the electrocardiogram data, generate a storage control signal for heart sound data associated with the abnormal signal in an abnormal signal section including the abnormal signal, and store the associated heart sound data in the abnormal signal section of the memory in response to the storage control signal.

A bio-signal measuring apparatus includes a sensing apparatus configured to sense electrocardiogram data representing an electrical change according to a pulse of an object and sense heart sound data according to the pulse and a processing apparatus configured to store the electrocardiogram data in a memory. The processing apparatus is further configured to analyze the electrocardiogram data to determine whether or not an abnormal signal is generated in the electrocardiogram data, when the abnormal signal is detected to be generated in the electrocardiogram data, generate a storage control signal for heart sound data associated with the abnormal signal in an abnormal signal section including the abnormal signal, and store the associated heart sound data in the abnormal signal section of the memory in response to the storage control signal.