The present invention relates to an apparatus and method for generating an electrocardiogram based on a generative adversarial network algorithm. The apparatus for generating an electrocardiogram based on a generative adversarial network algorithm according to the present invention includes: an input unit configured to receive the electrocardiogram data of a patient who wants his or her disease to be diagnosed; a control unit configured to generate a plurality of synthesized electrocardiogram data by inputting the received electrocardiogram data to a previously trained generative adversarial network algorithm; and an output unit configured to output the received actual electrocardiogram data of the patient and the plurality of generated electrocardiogram data.

System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier (46) for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger (48) to calculate and merge the fetal heart rate from the identified peaks.

Methods, systems, and media are disclosed for reconstructing bioelectronic lead placement. In some embodiments, the disclosed system can include a processor configured to determine relationships between EP signals of one or more pairs of a plurality of electrodes over one or more sampling time periods, wherein the plurality electrodes are separately placed on a patient's body for collecting the EP signals, and to reconstruct geometry of the plurality of electrodes based on the relationships between the EP signals.

Methods, systems, and media are disclosed for reconstructing bioelectronic lead placement. In some embodiments, the disclosed system can include a processor configured to determine relationships between EP signals of one or more pairs of a plurality of electrodes over one or more sampling time periods, wherein the plurality electrodes are separately placed on a patient's body for collecting the EP signals, and to reconstruct geometry of the plurality of electrodes based on the relationships between the EP signals.

Described herein is an apparatus for monitoring various physiological parameters of a user. The apparatus may include a housing with a small or reduced form factor near the size of a credit or debit card, so as to allow a user to obtain e.g., an electrocardiogram (ECG) measurement from various locations. The apparatus may include an electrode assembly comprising a set of electrodes disposed on the housing to perform an ECG by sensing an electrical signal corresponding to heart activity of a user when in contact with skin of the user and output the electrical signal. The apparatus may detect or generate six or more ECG leads.

Described herein is an apparatus for monitoring various physiological parameters of a user. The apparatus may include a housing with a small or reduced form factor near the size of a credit or debit card, so as to allow a user to obtain e.g., an electrocardiogram (ECG) measurement from various locations. The apparatus may include an electrode assembly comprising a set of electrodes disposed on the housing to perform an ECG by sensing an electrical signal corresponding to heart activity of a user when in contact with skin of the user and output the electrical signal. The apparatus may detect or generate six or more ECG leads.

In one embodiment, a method includes receiving cardiac signal segments responsively to electrical activity sensed by a first sensing electrode in contact with tissue, injecting the cardiac signal segments into a cable, which extends to a recording apparatus, the cable outputting corresponding noise-added cardiac signal segments responsively to noise acquired in the cable, training an artificial neural network to at least partially compensate for electrical noise that will be added to signals in the cable responsively to the received cardiac signal segments and corresponding noise-added cardiac signal segments, receiving a cardiac signal responsively to electrical activity sensed by a second sensing electrode, applying the trained artificial neural network to the cardiac signal yielding the cardiac signal with noise-compensation, which at least partially compensates for noise, which is not yet in the cardiac signal but will be added in the cable, and outputting the cardiac signal with noise-compensation via the cable.

A system for assessing and monitoring a fetal electrocardiogram (ECG) and heart rate in a pregnant mother comprises wearable mechanical-electronic sensors, e.g., embedded in a wrist or arm band, which can measure mechanical pulse signals from the mother, and an abdomen patch which can measure the combined ECG signals of the fetus and mother. In another embodiment, the sensors in the wrist or arm band measure the combined fetal/maternal ECG signals, and the mother's mechanical pulse signals. By signal processing and gating out the maternal ECG signals as correlated with the mechanical maternal pulse signals, the fetal ECG and heart rate can be measured and monitored. These measurements may be displayed on the wrist or arm band device, or wirelessly through a remote device, mobile phone or computer. Sensors in the abdominal patch may also measure uterine electromyogram, uterine contractions, and fetal movements, to be correlated with the fetal ECG.

A system for assessing and monitoring a fetal electrocardiogram (ECG) and heart rate in a pregnant mother comprises wearable mechanical-electronic sensors, e.g., embedded in a wrist or arm band, which can measure mechanical pulse signals from the mother, and an abdomen patch which can measure the combined ECG signals of the fetus and mother. In another embodiment, the sensors in the wrist or arm band measure the combined fetal/maternal ECG signals, and the mother's mechanical pulse signals. By signal processing and gating out the maternal ECG signals as correlated with the mechanical maternal pulse signals, the fetal ECG and heart rate can be measured and monitored. These measurements may be displayed on the wrist or arm band device, or wirelessly through a remote device, mobile phone or computer. Sensors in the abdominal patch may also measure uterine electromyogram, uterine contractions, and fetal movements, to be correlated with the fetal ECG.

A system for simulating a medical procedure includes: a physical model of an organ including a sensor mesh; directed at the physical model; a user input device including a distal end inserted within the physical model; a display device; and a simulation controller coupled to the sensor mesh, the camera system, the user input device, and the display device, the simulation controller including a processor and memory storing instructions to cause the processor to: initialize a simulation of the organ; display, on the display device, a state of the simulation; compute a location of the distal end within the physical model of the organ based on contact data from the sensor mesh and images received from the cameras; receive user input from the user input device; update the state of the simulation of the organ in accordance with the user input; and display the updated state of the simulation.