An electrocardiography device (ECG device) designed for use in combination with a magnetic resonance device, including: a carrier unit; a receiving unit designed to mount on the carrier unit; an electrode; an electrode conductor connecting the electrode to the receiving unit, wherein the electrode conductor is stabilized at least partially by way of a shapeable guide element.

An electrocardiography device (ECG device) designed for use in combination with a magnetic resonance device, including: a carrier unit; a receiving unit designed to mount on the carrier unit; an electrode; an electrode conductor connecting the electrode to the receiving unit, wherein the electrode conductor is stabilized at least partially by way of a shapeable guide element.

To provide an electrocardiographic measurement apparatus that can prevent a variety of subjects from having discomfort when the apparatus is attached to the subjects. The electrocardiographic measurement apparatus includes: a plurality of electrodes that has a length along a circumferential direction of an upper arm, the length being variable in accordance with a length in the circumferential direction of the upper arm, and detects an electric potential from the upper arm that is brought into contact with the electrodes; and a device body that generates electrocardiographic information based on the electric potential detected by the plurality of electrodes.

An example of a system for monitoring and treating respiratory distress in a patient may include signal inputs, a signal processing circuit, and a respiratory distress analyzer. The signal inputs may be configured to receive patient condition signals indicative of autonomic balance of the patient. The signal processing circuit may be configured to process the patient condition signals and to generate patient condition parameters indicative of the autonomic balance using the processed patient condition signals. The respiratory distress analyzer may be configured to determine a state of the respiratory distress using the patient condition parameters, and may include a parameter analysis circuit configured to analyze the autonomic balance of the patient and to determine the state of the respiratory distress using an outcome of the analysis.

A cardiovascular detection system and method, comprising an active compression cuff contracting at a frequency higher than the systolic frequency of the heart. Meanwhile, the detection device is used to capture the influence of the active compression cuff and cardiac systole on the blood of the part to be detected. In addition, it is supplemented by electrocardiography to monitor the reference value of cardiac systole to distinguish the difference between the pulse wave generated by the active compression cuff and the pulse wave generated by the heart. In this way, the state of the cardiovascular system can be quickly understood. Since the active compression cuff is contracted at a frequency higher than the systolic frequency of the heart, it can be more accurately determined whether the blood vessel is blocked or hardened.

Embodiments of a wearable monitoring device system can include one or more dry ECG electrodes and a processor that can be configured with one or more algorithms for detecting atrial fibrillation (AF) from sensed ECG signals sensed by the one or more dry ECG electrodes, and optionally other signals. In some embodiments the algorithms include one or more AF detection algorithms and optionally a noise detection algorithm. In some embodiments the wearable monitoring device or a remote system that receives data from the wearable medical device may calculate and/or characterize AF burden from ECG signals sensed by the one or more dry ECG electrodes.

Embodiments of a wearable monitoring device system can include one or more dry ECG electrodes and a processor that can be configured with one or more algorithms for detecting atrial fibrillation (AF) from sensed ECG signals sensed by the one or more dry ECG electrodes, and optionally other signals. In some embodiments the algorithms include one or more AF detection algorithms and optionally a noise detection algorithm. In some embodiments the wearable monitoring device or a remote system that receives data from the wearable medical device may calculate and/or characterize AF burden from ECG signals sensed by the one or more dry ECG electrodes.

The invention relates to a thermometer-shaped oral device for measuring respiratory sounds. The oral device comprises a mouthpiece with a metallic tip for placement under the tongue and a neck around which the lips seal the mouth closed, preventing outside noises from interfering with the measurement of the respiratory sounds. The oral device performs the auscultatory function traditionally performed by a stethoscope. The metallic tip may contain a thermistor for oral temperature measurement, and in various embodiments the oral device may further comprise other vital signs sensors. The oral device may be in communication with a cloud server, as part of a system for remote auscultation by a physician and/or analysis of auscultation and/or other vital signs by a healthcare bot for detecting progression of respiratory or other diseases.

A computer-implemented method for generating an annotated photoplethysmography signal, includes: recording an electrocardiogram or ECG signal; recording a photoplethysmography or PPG signal, semi-synchronously with the recording of the ECG signal; annotating segments in the ECG signal either algorithm-based or expert-based; time-aligning the PPG signal and the ECG signal; detecting ECG beats in the ECG signal; detecting PPG beats in the PPG signal; pairing the ECG beats onto the PPG beats; deriving annotations for PPG signal segments based on the nature of the ECG segment annotations and on how the ECG beats can be paired with the PPG beats; and annotating the PPG signal segments using the annotations, thereby generating the annotated PPG signal.

A computer-implemented method for generating an annotated photoplethysmography signal, includes: recording an electrocardiogram or ECG signal; recording a photoplethysmography or PPG signal, semi-synchronously with the recording of the ECG signal; annotating segments in the ECG signal either algorithm-based or expert-based; time-aligning the PPG signal and the ECG signal; detecting ECG beats in the ECG signal; detecting PPG beats in the PPG signal; pairing the ECG beats onto the PPG beats; deriving annotations for PPG signal segments based on the nature of the ECG segment annotations and on how the ECG beats can be paired with the PPG beats; and annotating the PPG signal segments using the annotations, thereby generating the annotated PPG signal.