A living body state estimation apparatus acquires information indicating a state of a living body. The living body state estimation apparatus is configured to include an electrocardiogram signal acquisition unit which acquires an electrocardiogram signal of the living body and an information acquisition unit which acquires a parameter as the information, the parameter specifying a predetermined function indicating a probability distribution for a reference wave interval which is a time interval between peaks of consecutive predetermined reference waves in the acquired electrocardiogram signal.

A system obtains a maternal electrocardiogram (ECG) signal that represents an ECG of a pregnant mother during a first time interval. The system further obtains a mixed maternal-fetal ECG signal that represents a combined ECG of the mother and her fetus during the first time interval; processes the maternal ECG signal and the mixed maternal-fetal ECG signal to generate a fetal ECG signal that represents the ECG of the fetus during the time interval, the fetal ECG signal substantially excluding the maternal ECG signal; and provides an output based on the fetal ECG signal.

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.

A phantom for simulating fetal heartbeat. The phantom includes a housing and a fetal heartbeat simulator. The housing has an exterior shaped like a female human pelvic region and surrounds an interior. The fetal heartbeat simulator includes a tube having a proximal end and a distal end, the distal end being positioned within the interior of the housing. The tube is filled with a first fluid having a first compressibility. A second fluid, having a compressibility that is greater than the compressibility of the first fluid, is disposed at the distal end of the tube. A pressure mechanism operably coupled to the proximal end of the tube is configured to selectively compress and decompress the first and second fluids.

A system for monitoring health parameters of a user includes a housing including: a plurality of sensors disposed on an outer surface of the housing or within the housing for measuring a plurality of parameters of interest; a processor disposed in the housing and communicatively coupled to the plurality of sensors; a coupling element on the housing for coupling the housing to an accessory; and an accessory identifier positioned on or within the housing and communicatively coupled to the processor. In some embodiments, the housing is reversibly transitionable between an uncoupled state and a coupled state with the accessory. In the coupled state, the accessory identifier senses a type of accessory and the processor activates a subset of the plurality of sensors to measure a subset of the plurality of parameters of interest. In some embodiments, the user is a pregnant female and a fetus developing in the pregnant female.

A seamless, smart fetal monitoring garment and methods of using thereof. The system includes a knitted or interwoven garment having a multiplicity of conductive textile electrodes for sensing maternal and fetal electrical vital signals. The maternal and fetal electrical vital signals are selected from a group including maternal heart rate, fetal heart rate and electromyogram (EMG) activities including uterine activities. The method includes wearing the garment, acquiring electrical mixed common, maternal and fetal vital signals from surface region of a pregnant woman, using the plurality of textile electrodes, optimally weighted summing-up the acquired signals, analyzing the summed-up signals to thereby extract the maternal signal and the fetal signal, including determining their heart rates, and including detecting health hazards and in some embodiments, including detecting a uterine contraction sequence suggesting the need to be hospitalized for birth giving.

The invention concerns a multi-electrode patch for abdominal electrophysiological detection. The patch has a flexible substrate interconnecting multiple electrodes and a module unit for removably engaging with an electronic readout device for detecting a maternal and/or fetal electrophysiological signal from the electrodes. The module has a mechanical module unit for removable mechanical engagement with a housing of the readout device, and an electrical module unit for making an electrical connection from the electrodes to the readout device. Engaging the patch with the readout device comprises engaging both the mechanical module unit and the electrical module unit. The patch may be flexible in a manner that allows variation in the relative positioning between the electrodes. The patch and/or electronic readout device may comprise a security device for communication of an authentication code.

A method of estimating fetal electrocardiogram (FECG) signals utilizes a plurality of ECG signals measured along the mother's abdomen. The method includes defining an MECG (ECG) dictionary of symbols and projecting the plurality of abdominal ECG signals onto the MECG dictionary to estimate MECG signals within each of the plurality of abdominal ECG signals. The estimated MECG signals are subtracted from the plurality of measured abdominal ECG signals to estimate FECG signals and the plurality of estimated FECG signals are combined to generate a representation of the FECG source signal.

A phantom for simulating fetal heartbeat. The phantom includes a housing and a fetal heartbeat simulator. The housing has an exterior shaped like a female human pelvic region and surrounds an interior. The fetal heartbeat simulator includes a tube having a proximal end and a distal end, the distal end being positioned within the interior of the housing. The tube is filled with a first fluid having a first compressibility. A second fluid, having a compressibility that is greater than the compressibility of the first fluid, is disposed at the distal end of the tube. A pressure mechanism operably coupled to the proximal end of the tube is configured to selectively compress and decompress the first and second fluids.

A apparatus for automatically detecting a pregnancy status of a patient include a patch for adhering to human skin, a uterine contraction sensor, such as electromyography (EMG), coupled to the patch with at least two electrodes, and an inertial sensor for sensing fetal movement, or Fetal Heart Rate (FHR) sensor, such as Fetal EKG or a Doppler Ultrasound. An electronic circuit is coupled to the patch, the EMG sensor and the inertial sensor, and/or FHR sensor. The circuit provides an output based on a uterine contraction signal from the EMG sensor (or Doppler ultrasound) correlated in time to a fetal movement, and/or fetal heart rate. The apparatus may include a thermometer to aid in automatically providing an indication of a pregnancy complication or ovulation status of the patient, based on the output.