A system for monitoring fetal health data and mother health data comprises a belly-covering garment that is configured to at least partially cover a belly and to hold one or more sensor modules directly adjacent to the belly. One or more sensor modules disposed within the belly-covering garment. The one or more sensor modules comprise a pulse-oximeter sensor that gathers pulse oximetry data from the mother through contact with the belly. The one or more sensor modules also comprise an accelerometer sensor that gathers movement data from the mother. Additionally, the one or more sensor modules comprise a fetal sensor that gathers health data from a fetus within the belly.

A system for monitoring fetal health data and mother health data comprises a belly-covering garment that is configured to at least partially cover a belly and to hold one or more sensor modules directly adjacent to the belly. One or more sensor modules disposed within the belly-covering garment. The one or more sensor modules comprise a pulse-oximeter sensor that gathers pulse oximetry data from the mother through contact with the belly. The one or more sensor modules also comprise an accelerometer sensor that gathers movement data from the mother. Additionally, the one or more sensor modules comprise a fetal sensor that gathers health data from a fetus within the belly.

The invention is a method for processing a phonocardiographic signal characterising fetal breathing movement (FBM), wherein in initial start point (SP) determination (S100) in frequency filtering (S110), bandpass-filtered signals of frequency subbands by first and second bandpass filters are generated from the phonocardiographic signal, and first identified SP of an FBM episode is determined in a frequency subband in SP search (S120), in episode discovering (S130) further SP is searched applying the SP search (S120) in episode search time period, and if found at smaller distance from identified SP than a clustering threshold, it is merged with identified SP, if found at larger distance from identified SP than the clustering threshold, an SP closest to identified SP is identified as second identified SP.

The invention is, furthermore, a system for processing a phonocardiographic signal characterising FBM. (FIG. 4A)

The invention is a method for processing a phonocardiographic signal characterising fetal breathing movement (FBM), wherein in initial start point (SP) determination (S100) in frequency filtering (S110), bandpass-filtered signals of frequency subbands by first and second bandpass filters are generated from the phonocardiographic signal, and first identified SP of an FBM episode is determined in a frequency subband in SP search (S120), in episode discovering (S130) further SP is searched applying the SP search (S120) in episode search time period, and if found at smaller distance from identified SP than a clustering threshold, it is merged with identified SP, if found at larger distance from identified SP than the clustering threshold, an SP closest to identified SP is identified as second identified SP.

The invention is, furthermore, a system for processing a phonocardiographic signal characterising FBM. (FIG. 4A)

Systems, devices, and methods for performing trans-abdominal fetal oximetry and/or trans-abdominal fetal pulse oximetry using physiological characteristics and/or a calibration factor may receive a physiological characteristic of a pregnant mammal and determine one or more potential impact(s) of the physiological characteristic on a behavior of an optical signal projected into the abdomen of the pregnant mammal Then a calibration factor for the optical signal responsively to the impact. The calibration factor may then be used to calibrate a fetal detected electronic signal so that a level of fetal hemoglobin oxygen saturation may be determined.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Circuitless heart cycle determination includes capturing a video clip of one or more image frames of a target heart muscle through an ultrasound imaging device and submitting the frames to a classifier that has been trained with an annotated set of images, each of a corresponding heart muscle captured at a specified phase of a heart cycle with a ground truth indication of the specified phase of the heart cycle drawn from a separately recorded cycle graph of an electrical signal measured over time for the corresponding heart muscle. In response to the submission, a classification is received of different portions of the submitted frames according to corresponding phases of the heart cycle. Finally, a contemporaneous phase of the heart cycle is determined in the device for the target heart muscle without sensing electrical signals by way of a closed-loop sensor circuit affixed proximately to the target heart muscle.

A wearable rapid pulse confirmation (RPC) device is designed to be worn by a living subject, and includes a Doppler array comprising at least one piezoelectric ultrasonic transducer, configured to detect a change in blood velocity in a blood vessel; a screen; a loud speaker; and a band or adhesive configured to hold the wearable RPC device in proximity to a body surface of the living subject. The Doppler array is configured to detect a change in blood velocity, pulse rate, pulse strength, or a combination thereof in a blood vessel; and to provide feedback through the screen and the loudspeaker. The Doppler array may include multiple types of piezoelectric ultrasonic transducers, including low frequency piezoelectric ultrasonic transducers having a working frequency ranging from 2 MHz to <6 MHz; medium frequency piezoelectric ultrasonic transducers having a working frequency of 6 MHz to 10 MHz; and high frequency piezoelectric ultrasonic transducers having a working frequency of 10 MHz to 18 MHz.

A wearable rapid pulse confirmation (RPC) device is designed to be worn by a living subject, and includes a Doppler array comprising at least one piezoelectric ultrasonic transducer, configured to detect a change in blood velocity in a blood vessel; a screen; a loud speaker; and a band or adhesive configured to hold the wearable RPC device in proximity to a body surface of the living subject. The Doppler array is configured to detect a change in blood velocity, pulse rate, pulse strength, or a combination thereof in a blood vessel; and to provide feedback through the screen and the loudspeaker. The Doppler array may include multiple types of piezoelectric ultrasonic transducers, including low frequency piezoelectric ultrasonic transducers having a working frequency ranging from 2 MHz to <6 MHz; medium frequency piezoelectric ultrasonic transducers having a working frequency of 6 MHz to 10 MHz; and high frequency piezoelectric ultrasonic transducers having a working frequency of 10 MHz to 18 MHz.