A fetal phonocardiogram system featuring an array of acoustic sensors designed to be temporarily affixed to a pregnant patient to convert the vibrations associated with a fetal heartbeat and/or fetal movement into a signal. The signal can be amplified and transferred to a processing element for filtering non-fetal sounds in order to resolve the fetal heartbeat. The filtered signal can be used in conjunction with an array of multiple acoustic sensors to locate a fetal position relative to the array.

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.

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.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

Methods and systems for evaluating the electrical activity of the heart to identify novel ECG patterns closely linked to the subsequent development of serious heart rhythm disturbances and fatal cardiac events. Two approaches are describe, for example a model-based analysis and space-time analysis, which are used to study the dynamical and geometrical properties of the ECG data. In the first a model is derived using a modified Matching Pursuit (MMP) algorithm. Various metrics and subspaces are extracted to characterize the risk for serious heart rhythm disturbances, sudden cardiac death, other modes of death, and all-cause mortality linked to different electrical abnormalities of the heart. In the second method, space-time domain is divided into a number of regions (e.g., 12 regions), the density of the ECG signal is computed in each region and input to a learning algorithm to associate them with these events.

A ballistocardiographic method and monitoring system calculates an indicator of the average heart rate of a test subject within a time interval. The test subject may be a fetus inside a mother's belly, or infant lying in the same bed as an adult. The monitoring system comprises a recoil surface and an acceleration sensor in contact with the recoil surface. A control unit identifies in the time domain the characteristics of the adult's heartbeat during the time interval. The output signal is then transformed to the frequency domain across the time interval and the signal is screened with the adult heartbeat characteristics. The indicator is then calculated from the screened signal in the frequency domain. The control unit monitors the indicator of the infant or fetus heart rate and may provide an alert if the indicator value drops very rapidly, or falls below a predetermined threshold value.

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.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac activity data.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac activity data, utilizing a plurality of acoustic sensors.