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.

In one aspect, a device for measuring breast volume is disclosed, which comprises a housing comprising an enclosure having an opening, a flexible membrane sealingly covering said opening so as to provide an enclosed space within said enclosure, a gas disposed within said enclosed space, and at least one pressure sensor coupled to said enclosure so as to measure pressure of said gas within said enclosed space. The flexible membrane is configured to reversibly flex into said enclosed space in response to pressure of a breast against the membrane. The flexure of the membrane causes a change in the pressure and volume of the gas within said enclosed space.

Methods and systems for assessing characteristics of a lung of a patient. A method includes, during an applied positive end expiratory pressure, identifying a first position of a patient, acquiring first impedance data representative of at least a region of patient's lung when the patient is in the first position, during the applied positive end expiratory pressure, identifying a second different position of a patient, acquiring second impedance data representative of at least the region of patient's lung when the patient is in the second position, comparing the first impedance data with the second impedance data, and determining whether the applied positive end expiratory pressure is sufficient to effectuate recruitment.

A system and related methods for displaying a ventilation distribution of a patient. The system may include a measuring system for measuring the ventilation distribution of the patient and a display device. The system may further include a controller operably coupled to the measuring system and the display device configured to cause the measuring system to measure the ventilation distribution of the patient at a time interval and plot an element representing the measured ventilation distribution of the patient within a Cartesian coordinate system of a graphical user interface of the display device. The element may be plotted with a higher intensity relative to other elements representing previously measured ventilation distributions of the patient.

In various embodiments, a system for cleaning, marking, and/or interpreting physiological data is disclosed. The system includes a memory having instructions stored thereon, and a processor configured to read the instructions to: receive a training data set comprising physiological data including labeled events corresponding to a predetermined portion of the physiological data, generate a trained artificial intelligence (AI) model configured to identify events within device data, and identify at least one physiological event within a target device data set based on the trained AI model. The trained AI model is generated using an iterative training process based on the training data set.

Systems and methods are disclosed that facilitate tracking and rewarding health and fitness activities of users using blockchain technology. In an aspect, a system comprises a non-transitory memory comprising instructions, and one or more hardware processors coupled to the non-transitory memory and configured to read the instructions to cause the system to perform operations. The operations comprise receiving health and fitness information for entities, employing a blockchain network to store the health and fitness information for the entities, and sending a non-fungible token (NFT) to an entity of the entities in response to a subset of the health and fitness information associated with the entity satisfying a criterion.

This disclosure provides a fetal-blood-oxygen-saturation estimation technique using a deep neural network without performing explicit fetal signal extraction from mixed maternal-fetal photoplethysmogram (PPG) signals. In one aspect, the disclosed fetal-blood-oxygen-saturation estimation technique receives multiple channels of PPG signals from two or more photodetectors detecting transabdominal diffused light from two or more light sources emitting two or more distinct wavelengths, wherein the photodetectors and light sources are positioned on a maternal abdomen. Note that each channel of the multiple channels of PPG signals includes mixed maternal-fetal PPG signals. Next, the disclosed estimation technique processes the received PPG signals using a trained deep neural network to directly estimate fetal-blood-oxygen-saturation by: tagging the PPG signals with a set of signal-quality levels; feeding the tagged PPG signals as inputs to the deep neural network; and directly inferring, by the deep neural network, fetal-blood-oxygen-saturation estimations and associated confidence levels based on the tagged PPG signals.

An electrode support includes a first reference electrode and a second electrode, the electrodes being electrically insulated from each other and able to measure two electric potentials at the surface of a haired animal body, the electrode support further including an electronic module including at least one memory, a calculator and a first electric interface to receive electric signals acquired from each electrode for recording a cardiac activity of the haired animal, the electrodes each including a one-piece structure formed of a polymer material in which conductive elements are distributed, the structure including a base and a plurality of projections able to go through a coat.

Apparatuses and methods utilizing tactile transducers to create mechanical waves that travel through an individual's body to the kidneys to dislodge kidney stones. Embodiments include a structural member with at least one tactile transducer, an amplifier, and a controller. The tactile transducer(s) produce mechanical waves, and the structural member enables projection of the mechanical waves produced by the tactile transducer(s) toward at least one kidney to dislodge kidney stones. The amplifier is electronically coupled to the at least one tactile transducer, and the controller is electronically coupled to the amplifier and configured to determine the mechanical waves produced by the at least one tactile transducer.

Disclosed is a system (100) and method (200) for 12-lead ECG recording and wireless remote monitoring. The system (100) provides a wearable ECG acquisition unit (40) recording 12-lead ECG from torso positions of electrode sensors on user's body thereby permitting unrestrained free movement during recording without compromising on accuracy achieved by conventional 12-lead ECG system. Thus, the system (100) and method (200) provides a reliable, quick to deploy, cost effective and portable alternative to bulky conventional 12-lead ECG systems and eliminates need for resorting to skilled physician every time the 12-lead ECG is to be recorded. The system (100) and method (200) is universal in use and torso placement positions, facilitating uniform acquisition of the 12-lead ECG without altering the placement positions of the electrode sensors irrespective of ECG modalities, thereby serving as a standard format for ECG recording and long term ECG monitoring.