A data generation method by a computer is disclosed. First waveform data including marking information at a first position on a waveform, and acquiring second waveform data are acquired. A transformation function is specified that transforms the first waveform data to reduce the difference between a first value of a time axis for a first characteristic point in the first waveform data and a second value of the time axis for a second characteristic point, in the second waveform data, corresponding to the first characteristic point. Third waveform data are generated, in which the marking information is applied at a second position corresponding to the first position in the first waveform data, the second position being determined by using the transformation function.

Provided are an apparatus and method for detecting ventricular depolarization (QRS) of an electrocardiogram (ECG). The apparatus includes an input unit configured to receive an ECG signal, a memory configured to store a program for detecting R and ventricular depolarization using the ECG signal, and a processor configured to execute the program, wherein the processor detects a QRS interval and an R-peak using a first-order derivative filter and a max-filter.

Provided are an apparatus and method for detecting ventricular depolarization (QRS) of an electrocardiogram (ECG). The apparatus includes an input unit configured to receive an ECG signal, a memory configured to store a program for detecting R and ventricular depolarization using the ECG signal, and a processor configured to execute the program, wherein the processor detects a QRS interval and an R-peak using a first-order derivative filter and a max-filter.

Techniques are disclosed for detecting arrhythmia episodes for a patient. A medical device may receive one or more sensor values indicative of motion of a patient. The medical device may determine, based at least in part on the one or more sensor values, an activity level of the patient. The medical device may determine a heart rate threshold for triggering detection of an arrhythmia episode based at least in part on the activity level of the patient. The medical device may determine whether to trigger detection of the arrhythmia episode for the patient based at least in part on comparing a heart rate of the patient with the heart rate threshold. The medical device may, in response to triggering detection of the arrhythmia episode, collect information associated with the arrhythmia episode.

Techniques are disclosed for detecting arrhythmia episodes for a patient. A medical device may receive one or more sensor values indicative of motion of a patient. The medical device may determine, based at least in part on the one or more sensor values, an activity level of the patient. The medical device may determine a heart rate threshold for triggering detection of an arrhythmia episode based at least in part on the activity level of the patient. The medical device may determine whether to trigger detection of the arrhythmia episode for the patient based at least in part on comparing a heart rate of the patient with the heart rate threshold. The medical device may, in response to triggering detection of the arrhythmia episode, collect information associated with the arrhythmia episode.

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.

Apparatuses, systems and methods are provided that may include a system for patient monitoring and defibrillation. The system may include at least two defibrillation electrodes. The system may further include a first unit for physiological monitoring of a patient, including ECG monitoring circuitry for monitoring ECG of the patient. The first unit may store CPR chest compression data. The system may further include a second unit, separate from the first unit, which may communicatively couple with the first unit, for providing defibrillation pulses to the patient. The second unit may include a processor, communicatively coupled with the at least two defibrillation electrodes, for providing defibrillation pulses to the patient via the at least two defibrillation electrodes.

A stimulation probe device including a first electrode, a stimulation module, a control module and a physical layer module. The stimulation module is configured to (i) wirelessly receive a payload signal from a console interface module or a nerve integrity monitoring device, and (ii) supply a voltage or an amount of current to the first electrode to stimulate a nerve or a muscle in a patient. The control module is configured to generate a parameter signal indicating the voltage or the amount of current supplied to the electrode. The physical layer module is configured to (i) upconvert the parameter signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the stimulation probe to the console interface module or the nerve integrity monitoring device.

A stimulation probe device including a first electrode, a stimulation module, a control module and a physical layer module. The stimulation module is configured to (i) wirelessly receive a payload signal from a console interface module or a nerve integrity monitoring device, and (ii) supply a voltage or an amount of current to the first electrode to stimulate a nerve or a muscle in a patient. The control module is configured to generate a parameter signal indicating the voltage or the amount of current supplied to the electrode. The physical layer module is configured to (i) upconvert the parameter signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the stimulation probe to the console interface module or the nerve integrity monitoring device.

An ear device for arrangement at an ear of a person and provided with at least two electrodes for having skin contact and detecting a bioelectrical signal when in use, the ear device includes a deformable ear canal part adapted to be arranged in an ear canal of the person, and an external ear part adapted to be arranged at the ear external to the ear canal and being provided with at least one external ear electrode for detecting a bioelectrical signal, the external ear part includes at least one bendable arm which is connected to the ear canal part and is adapted to exert a pressure such that the at least one external ear electrode is pressed against the skin when in use.