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.

Methods, apparatus, and systems for medical procedures are disclosed herein. For example, a plurality of analog sensor signals and an analog reference signal are received by an analog-to-digital converter to produce respective digitized versions of the analog sensor signals. The respective digitized versions of the analog sensor signals are digital filtered to produce respective filtered digitized versions of the analog sensor signals. The filtered digitized versions of the analog sensor signals are output to a visualization system to provide real time display thereof. The filtered digitized versions of the analog sensor signals are communicated to a digital-to-analog converter to produce an analog version of the filtered digitized versions of the analog sensor signals. The analog version of the filtered digitized versions of the analog sensor signals along with the analog reference signal are output to a recordation system to provide supplemental processing and storage thereof.

The embodiments presented herein provide a device comprising a sensor assembly configured to sense physiological signals corresponding to physiological parameters of a user when in contact with the user, and to produce electrical signals representing the sensed physiological signals. The device may also comprise a converter assembly that is electrically connected to the sensor assembly, and is configured to convert the electrical signals to a modulated signal. The device may further comprise a transmitter that transmits the modulated signal wirelessly to a computing device. The device may include a housing that contains the sensor assembly, the converter assembly, and the transmitter.

The embodiments presented herein provide a device comprising a sensor assembly configured to sense physiological signals corresponding to physiological parameters of a user when in contact with the user, and to produce electrical signals representing the sensed physiological signals. The device may also comprise a converter assembly that is electrically connected to the sensor assembly, and is configured to convert the electrical signals to a modulated signal. The device may further comprise a transmitter that transmits the modulated signal wirelessly to a computing device. The device may include a housing that contains the sensor assembly, the converter assembly, and the transmitter.

A non-transitory computer-readable medium having stored a computer program causes a computer to realize the functions of: receiving electrocardiogram waveform data from first electrodes attached to a subject, the data indicating a plurality of electrocardiogram waveforms that are continuously generated on a time axis; storing the electrocardiogram waveform data in a storage section; calculating coefficients for deriving estimated electrocardiogram waveform data of the subject, from first electrocardiogram waveform data that are stored in the storage section; and deriving the estimated electrocardiogram waveform data of the subject, based on second electrocardiogram waveform data that are acquired after the first electrocardiogram waveform data are stored and the coefficients.

A non-transitory computer-readable medium having stored a computer program causes a computer to realize the functions of: receiving electrocardiogram waveform data from first electrodes attached to a subject, the data indicating a plurality of electrocardiogram waveforms that are continuously generated on a time axis; storing the electrocardiogram waveform data in a storage section; calculating coefficients for deriving estimated electrocardiogram waveform data of the subject, from first electrocardiogram waveform data that are stored in the storage section; and deriving the estimated electrocardiogram waveform data of the subject, based on second electrocardiogram waveform data that are acquired after the first electrocardiogram waveform data are stored and the coefficients.

A system for providing a standard electrocardiogram (ECG) signal for a human body using contactless ECG sensors for outputting to exiting medical equipment or for storage or viewing on a remote device. The system comprises a digital processing module (DPM) adapted to connect to an array of contactless ECG sensors provided in a fabric or the like. A selection mechanism is embedded into the DPM which allows the DPM to identify body parts using the ECG signals of the different ECG sensors and select for each body part the best sensor lead. The DPM may then produce the standard ECG signal using the selected ECG signals for the different body parts detected. The system is adapted to continuously re-examine the selection to ensure that the best leads are selected for a given body part following a movement of the body part, thereby, allowing for continuous and un-interrupted ECG monitoring of the patient.

Multiple wireless sensor assemblies are individually attached to standard biopotential electrodes, which are placeable on a subject's body at locations for biopotential signal recording. The sensor assemblies, which are electrically isolated, simultaneously measure potential voltages from the body sites in accordance with a synchronization. The measured signals are amplified, digitized, and filtered, and then sent wirelessly to a monitoring system. The monitoring system receives multiple sensor signals and constructs biopotential vectors depending on the placement and number of the sensors. The sensor signals are referenced to a common virtual center bias to synthesize a common mode rejection.

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.