Abstract: According to an aspect, there is provided a computer-implemented method for determining a heart rate of a subject, the method comprising: receiving data representing a signal generated by a pressure sensor configured to be placed on a suprasternal notch of a subject, the data representing a first component of the signal comprising respiratory information associated with the subject and/or a second component of the signal comprising cardiac information associated with the subject; determining, by applying a first algorithm to the data, a respiration parameter of the subject; applying at least one filter to the data to obtain first filtered data, the at least one filter comprising a first filter to attenuate the first component of the signal in the data based on the determined respiration parameter; and determining a heart rate of the subject by applying a second algorithm to the first filtered data.

Abstract: Some embodiments are directed to a device for processing a fetal electrocardiogram (fECG). The processing may include obtaining a fetal vector cardiogram (VCG) from said multiple ECG signals, and providing the fetal vector cardiogram as an input to the machine learning classifier configured with trained parameters, and obtain a classification from the machine learning classifier.

Abstract: A system for motion artifact reduction in a photoplethysmogram, PPG, signal representing heart activity of a subject, comprises: a processing unit, said processing unit being configured to: receive a PPG signal carrying information of heart activity of the subject; receive a motion reference signal carrying information of a motion of the subject; form a PPG time-frequency representation, based on the PPG signal, and a motion reference time-frequency representation, based on the motion reference signal; and subtract a weighted representation of the motion reference time-frequency representation from the PPG time-frequency representation for reducing a motion artifact component in the PPG time-frequency representation and form a cleaned time-varying frequency spectrum of the PPG signal.

Abstract: A method for time domain signal reconstruction for representing heart activity of a subject from a photoplethysmogram (PPG) signal comprises: receiving a PPG signal carrying information of heart activity of the subject; decomposing frequency information of the PPG signal into a plurality of components, each component having a frequency spectrum and a weight; for each component of the plurality of components: comparing the frequency spectrum of the component to a spectrum mask based on an estimate of heart rate of the subject; and adjusting the weight of the component based on the comparing; and reconstructing a time domain signal based on recombination of the plurality of components with adjusted weights.

Abstract: Systems and methods for electrocardiography monitoring use multiple capacitive sensors in order to determine reliable measurements of electrophysiological information of a patient. Relative coupling strength and/or reliability is used to select dynamically which sensors to use in order to determine, in particular, an electrocardiogram of the patient.

Abstract: An improved fetal ST monitoring system and method is provided using an ECG monitoring system collecting a plurality of T/QRS segments of a fetus, and a data analysis computer system connected to the ECG monitoring system calculating from the plurality of T/QRS segments.

Abstract: An improved fetal ST monitoring system and method is provided using an ECG monitoring system collecting a plurality of T/QRS segments of a fetus, and a data analysis computer system connected to the ECG monitoring system calculating from the plurality of T/QRS segments.

Abstract: Systems and methods for electrocardiography monitoring use multiple capacitive sensors in order to determine reliable measurements of electrophysiological information of a patient. Relative coupling strength and/or reliability is used to select dynamically which sensors to use in order to determine, in particular, an electrocardiogram of the patient.

Abstract: A signal processing arrangement 130, a monitoring system 100, a signal processing method, a monitoring method of monitoring uterine contractions of a pregnant woman, and a computer program product are provided. The signal processing arrangement 130 receives an electrophysiological signal 116 representing uterine muscle activity of a pregnant woman at an input 132. A filter 136 generates a filtered electrohysterogram signal from the electrophysiological signal 116. The filter 136 allows the passage of spectral components between 0 and 3 Hz. A window function applicator 138 applies a window function to the filtered electrohysterogram signal to obtain an output waveform 146. The window function defines that samples of a time interval preceding the application of the window function need to be used The output waveform 146 simulates output data of tocodynamometer or an intra-uterine pressure catheter. The output waveform 146 is provided at an output 144 of the signal processing arrangement.

Abstract: A signal processing arrangement 130, a monitoring system 100, a signal processing method, a monitoring method of monitoring uterine contractions of a pregnant woman, and a computer program product are provided. The signal processing arrangement 130 receives an electrophysiological signal 116 representing uterine muscle activity of a pregnant woman at an input 132. A filter 136 generates a filtered electrohysterogram signal from the electrophysiological signal 116. The filter 136 allows the passage of spectral components between 0 and 3 Hz. A window function applicator 138 applies a window function to the filtered electrohysterogram signal to obtain an output waveform 146. The window function defines that samples of a time interval preceding the application of the window function need to be used The output waveform 146 simulates output data of tocodynamometer or an intra-uterine pressure catheter. The output waveform 146 is provided at an output 144 of the signal processing arrangement.

Abstract: A system for monitoring a fetus during gestation comprises an input for receiving a plurality of electric signals measured on a surface of a maternal body; and a processor for providing a fetal electrocardiogram based on the received electric signals and based on an orientation of the fetus, wherein the fetal electrocardiogram represents a projection of a fetal cardiac potential vector according to a predetermined projection direction that is fixed with respect to the fetus. The fetal vector electrocardiogram is projected according to the projection direction. An at least partial representation of a fetal vector electrocardiogram is provided in dependence on the plurality of electric signals and indicative of a time path of an electrical field vector generated by a fetal heart of the fetus.

Abstract: A system for monitoring a fetus during gestation comprises an input for receiving a plurality of electric signals measured on a surface of a maternal body; and means for providing a fetal electrocardiogram based on the received electric signals and based on an orientation of the fetus, wherein the fetal electrocardiogram represents a projection of a fetal cardiac potential vector according to a predetermined projection direction that is fixed with respect to the fetus. The fetal vector electrocardiogram is projected according to the projection direction. An at least partial representation of a fetal vector electrocardiogram is provided in dependence on the plurality of electric signals and indicative of a time path of an electrical field vector generated by a fetal heart of the fetus.