A61B5/00

Sensor module and wearable body composition analyzer including same

A wearable body composition analyzer according to various embodiments of the present disclosure may include an induction part for inducing secretion of bodily liquid while being in contact with a body part, a collection part that collects the bodily liquid secreted, a sensor part that detects a body composition from the bodily liquid collected, and a wearable part to which the induction part and the collection part is detachably attached, wherein the wearable part may be worn on a body. The above-described wearable body composition analyzer may be implemented variously according to embodiments.

Assessment system and assessment method
11580871 · 2023-02-14 ·

An assessment system is provided for assessing a performance of at least one autonomous actor in a dynamic environment. The system includes a computer program which, when operating on a data processing system, retrieves input selected from digital information, sensor data and a combination thereof, for detecting and classifying the at least one autonomous actor present in the dynamic environment; sets up a virtual reality simulation of the environment, and synchronizes the simulation with the environment. The program evaluates behavior of the actor in the environment, including measuring, analyzing and classifying actions and reactions of the actor in the simulation while the actor performs at least one predefined procedure in the environment; compares the behavior of the actor with a curriculum including at least one documented procedure and at least one documented performance value of the at least one predefined procedure; and outputs a qualification for the performance.

Apparatus, systems and methods for sensing bladder fullness
11576598 · 2023-02-14 · ·

Embodiments of the invention provide devices and systems to monitor fullness of a patient's bladder. One embodiment of a bladder fullness (BF) measure system comprises a sensor device (SD) and a controller. The SD generates an output signal (OS) based on the force exerted by the bladder against SD the wherein the OS corresponds to a degree of BF. The SD may be attached to the bladder wall or adjoining tissue and positioned between the bladder and the pubic bone such that the SD is not affected by tissues force other than that from the bladder. The controller connects to the SD and causes an associated implant to perform a function when the SD output signal exceeds a predetermined threshold. Embodiments are particularly useful for providing information on BF to patients suffering from spinal injury or other conditions whereby they have lost the ability to sense BF and/or voluntarily urinate.

Multi-channel laser

A laser device includes a seed laser, a plurality of optical amplifiers, and an optical distribution assembly. The seed laser is configured to emit seed laser light. The plurality of optical amplifiers is configured to generate amplified laser light by amplifying the seed laser light. The optical distribution assembly is configured to distribute the seed laser light to an input of each of the optical amplifiers in the plurality and each of the optical amplifiers is configured to direct its respective amplified laser light to a common target.

Medical imaging system, method, and computer program
11576555 · 2023-02-14 · ·

A medical imaging system is described that comprises an heating element configured to apply at least one heating pattern element to a material to locally heat the material; a sensor configured to capture the position of the heated material a predetermined time after the application of the heating pattern element; and circuitry configured to determine the change of the heating pattern applied to the material based upon the captured position of the heated material after the predetermined time.

Methods and system for characterising tremors

A method of characterising tremor stability in a subject is described for a subject having an involuntary tremor symptomatic of a neurological disorder. The method comprising: identifying a series of tremor cycles from measured tremor data of the subject, said tremor cycles measuring periodic variation in movement of the subject due to the tremor; determining an instantaneous frequency for each tremor cycle and collating the instantaneous frequencies; determining an instantaneous variation between the instantaneous frequencies of each pair of adjacent tremor cycles within the series; comparing the instantaneous variation to the collation of determined instantaneous frequencies to determine a distribution of instantaneous variations; and determining an index value of the distribution of the instantaneous variations, said index value defining the stability of the tremor.

Artifact-tolerant pulse rate variability measurement

A PPG PRV device for generating a PRV parameter of a PPG signal (20) as an estimation of a HRV parameter of an ECG signal. The PPG PRV device employs a PPG probe (700) and a PPG PRV controller (710). In operation, the PPG probe (700) generate a PPG signal (20). In response thereto, the PPG PRV controller (710) generates a normalized PPG signal (20′) including a plurality of pulses of the PPG signal (20) designated as normal pulses by the PPG PRV controller (710) and excluding at least one pulse of the PPG signal (20) designated at least one abnormal pulse by the PPG PRV controller (710), wherein the normalized PPG signal (20′) is HRV comparable to the ECG signal. The PPG PRV controller (710) derives the PRV parameter from a HRV measurement of the normalized PPG signal (20′).

Artifact identification in EEG measurements

Methods, systems, and computer programs encoded on a computer storage medium, for improving EEG measurements by identifying artifacts present in EEG measurements and providing a real-time indication to a user of likely artifacts in EEG measurements are described. EEG measurements of a patient can be obtained by placing a wearable device or EEG cap on a patient's head. Sensors in the cap provide EEG data to a computing device that processes the data to identify one or more artifacts in the EEG data. The artifacts can be identified by conducting one or more operations of determining the signal to noise ratio of the line noise, calculating mutual information between sensor pairs, and applying the p-welch method. Based on the types of artifacts identified, the computing device can output an indicator that provides feedback to the technician performing an EEG test to make adjustments to the test setup.

Bandage\e-tattoo combination

Embodiments disclosed herein relate to devices and methods for monitoring one or more physiological parameters of a subject. In an embodiment, a wearable device comprises a substrate configured to attached to a subject's skin. The substrate comprises a middle portion arranged between two end portions, wherein the middle portion is more flexible than at least one of the end portions. The wearable device also comprises a physiological sensor arranged on the middle portion. The physiological sensor is configured to sense a physiological signal of the subject when the wearable device is attached to the subject's skin. And, the wearable device comprises one or more electrical components arranged on at least one of the end portions, wherein at least one of the one or more electrical components is coupled to the physiological sensor.

Systems and methods for monitoring uterine activity and assessing pre-term birth risk

A method for uterine activity monitoring may include: acquiring a plurality of signals from a plurality of sensors during uterine activity; processing the plurality of signals to extract a plurality of uterine electrical activity characteristics; analyzing the plurality of uterine electrical activity characteristics; and classifying the uterine activity as one of: a preterm labor contraction, a labor contraction, a Braxton-Hicks contraction, and a state of no contraction. A method of assessing over time a pre-term birth risk of a pregnant female may include: calculating a baseline pre-term birth risk score based on a user input; acquiring, over time, a signal from a sensor; analyzing the signal to extract a parameter of interest, such that the parameter of interest comprises a physiological parameter; and calculating an instant pre-term birth risk score based, at least in part, on the parameter of interest and the user input.