There is provided a system, comprising: internal probe(s) for transmitting and/or receiving an RF signal, the internal probe(s) set to be mounted on an elongated guiding element set for insertion via the pharynx into a tract of a patient, the internal probe(s) and elongated guiding element are configured to be directly inserted into the tract independently of another guiding device; external probe(s) which is set to be positioned in a location outside the body for transmitting and/or receiving an RF signal; a processing unit configured to analyze an RF signal transmitted between transducer(s) of the internal probe(s) and transducer(s) of the external probe(s), propagating via tissue(s) of the patient between walls of the tract and a skin layer of the patient, to estimate at least one dielectric property of the tissue(s); wherein the RF signals are unsuitable for generating anatomical images of the tissue(s).

The present disclosure relates to a transfer cart suitable for use in association with an MR scanner. The transfer cart may include a transfer table assembly coupled to the support frame such that the transfer table assembly and the horizontal support structure portion of the support frame extend substantially perpendicularly from the vertical support structure of the support frame and in substantially parallel planes to each other. The transfer table assembly may be maintained at substantially the same vertical level of a scanning bore of an MR scanner. The transfer cart may include a frame designed to dock with the MR scanner.

A neural analysis and treatment system includes a computing device with a memory for storing an application that is executable on a processor to receive amplitude-integrated electroencephalography (aEEG) and range-EEG (rEEG) measurements associated with a patient. The systems determine a spectral edge frequency (SEF) measurement from the received EEG measurements, and determine one or more neural characteristics of the patient according to the determined SEF, aEEG, and rEEG measurements. These neural characteristics may then be used to identify and implement an appropriate therapeutic treatment.

A phototherapy monitoring device (10) includes a housing (12) configured for attachment to a patient, and a user interfacing device. An optical bilimbin sensor (14) includes one or more light sources (16) operative to generate probe light and arranged on or in the housing such that the probe light is reflected from or transmitted through skin of the patient when the housing is attached to the patient; and one or more photodetectors (18) arranged on or in the housing to detect the probe light reflected from or transmitted through the skin of the patient. At least one electronic processor (28) is disposed on or in the housing and programmed to: continuously generate a current bilimbin level measurement from the detected probe light reflected from or transmitted through the skin of the patient; and control the user interfacing device to generate a notification when the current bilirubin level measurement satisfies a safe bilimbin level.

The breastfeeding device present in the invention, simulates natural breastfeeding experience and delivers fluid, milk or infant formula to the nursing infant in a contactless or latch free manner than any prior art in this field. This device integrates physical sensors to the breastfeeding device and includes a neck strap, refillable housing chamber that contains fluid, a tubing that connects the housing chamber to a prosthetic nipple via a sealing attachment and a prosthetic nipple for infant latching to nurse. The invention is a notable step forward in creating an effective, safe and contactless nursing which mitigates and prevents bruised, sore nipples or engorged breasts.

A medical apparatus, comprising: a memory, which pre-stores multiple working modes, wherein the working modes comprise a plurality of workflows, tools associated with the workflows, and constraint relationships for executing the workflows; and a processor, if the working state of the medical device meets a switching condition, switching is performed among multiple working modes; when a switched working mode is executed, each workflow is executed in sequence according to constraint conditions for executing each workflow in a workflow set, and when each workflow is executed, the tools associated with the workflows are called.

A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.

A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to determine metrics based on the EEG signal, the metrics indicating non-linear features of the EEG signal, determine that the EEG signal indicates a candidate seizure by determining, based at least in part on the metrics, a change in the non-linear features of the EEG signal over time, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure. The change in the non-linear features indicates a physiological force that gives rise to the candidate seizure.

A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to determine metrics based on the EEG signal, the metrics indicating non-linear features of the EEG signal, determine that the EEG signal indicates a candidate seizure by determining, based at least in part on the metrics, a change in the non-linear features of the EEG signal over time, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure. The change in the non-linear features indicates a physiological force that gives rise to the candidate seizure.

A method of controlling an infant care device includes identifying, via a location tracking system, a device location of the infant care device within a care facility by locating a device location tag on the infant care device, and also identifying any local clinician tags worn by a clinician within a predetermined area around the device location. The local clinician tags are compared to a list of authorized clinician tags to identify whether at least one local authorized clinician tag is within the predetermined area around the infant care device. User input is received at a user interface associated with the infant care device to modify operation of the infant care device. Operation of the infant care device is modified based on the user input only if at least one local authorized clinician tag is within the predetermined area around the infant care device at the time of receiving the user input.