A catheter assembly is provided that includes a puncture tool and a catheter. The puncture tool includes a hollow puncture needle configured to puncture a blood vessel, a detection portion that protrudes forward from a tip of the puncture needle and detects pulsation of the blood vessel, and a determination portion that determines whether the blood vessel is a vein or an artery based on the pulsation of the blood vessel detected by the detection portion. The detection portion includes a probe provided inside the hollow puncture needle that is configured to advance and retreat in an axial direction, and a sensor that detects pulsation of a blood vessel transmitted via the probe.

There is provided a method of training a machine learning model for generating a sleep wellness score used for treatment of a sleep condition in a target individual, comprising: providing a baseline machine learning model with weights set to initial baseline values, accessing sleep-parameters computed for historical sleep sessions of the target individual, training the baseline machine learning model using the sleep-parameters for the historical sleep sessions of the target individual by adjusting the initial baseline values of the weights, to obtain a customized machine learning model, accessing sleep-parameters computed for previous sleep session(s) of the target individual, inputting the sleep-parameters computed for previous sleep session(s) into the customized machine learning model, and obtaining a sleep wellness score as an outcome of the customized machine learning model.

A relaxation mask includes: a main body that defines a pair of eye cavities; wiring; an earpiece that is coupled to the main body via the wiring; and a spring configured to bias the earpiece towards the main body.

A relaxation mask includes: a main body that defines a pair of eye cavities; wiring; an earpiece that is coupled to the main body via the wiring; and a spring configured to bias the earpiece towards the main body.

Medical devices can perform a plurality of functions, such as sensing, monitoring, deriving and/or calculating various physiological statuses of a patient (e.g., blood pressure, temperature, respiration rate, etc.). Medical devices can also be used to image part or all of a patient's body, to deliver a treatment, or to manage information related to a patient's care. The present disclosure is directed at one or more devices that perform these functions using a plurality of processing circuits, wherein each processing circuit has a timing circuit with a local clock. These processing circuits can be connected via a network, and each timing circuit can communicate with at least one other timing circuit in order to detect and correct time-differences between their local clocks. In this way, multiple processing circuits can be synchronized with each other to facilitate diagnosis or treatment of a patient's condition, or other aspects of a patient's care.

Environmental characteristics of habitable environments (e.g., hotel or motel rooms, spas, resorts, cruise boat cabins, offices, hospitals and/or homes, apartments or residences) are controlled to eliminate, reduce or ameliorate adverse or harmful aspects and introduce, increase or enhance beneficial aspects in order to improve a “wellness” or sense of “wellbeing” provided via the environments. Control of intensity and wavelength distribution of passive and active Illumination addresses various issues, symptoms or syndromes, for instance to maintain a circadian rhythm or cycle, adjust for “jet lag” or season affective disorder, etc. Air quality and attributes are controlled. Scent(s) may be dispersed. Hypoallergenic items (e.g., bedding, linens) may be used. Water quality is controlled. Noise is reduced and sounds (e.g., masking, music, natural) may be provided. Passive and active pathogen controls are employed. Controls are provided for the occupant and/or facility personnel, as is instruction, and surveys, including assessing wellness.

A mental and physical condition estimation system according to the present disclosure includes: a heart rate information acquisition unit for acquiring heart rate information that is information related to a heart rate of a subject person; a heart rate variability calculation unit for calculating heart rate variability of a very low frequency component (VLF) from the acquired heart rate information; and a mental and physical condition estimation unit for estimating a concentration and effort state of the subject person from a calculated value of the heart rate variability.

An anesthetic equipment storage and waste air management module configured to housing electronic and electromechanical surgical equipment including a system to measure and record administration of one or more IV medications or fluids for IV administration. The module can include a housing having a lower section and a tower-like upper section, wherein the lower section is configured to house unrelated waste heat-producing electronic and electromechanical surgical equipment. The module can also include a cowling that substantially confines waste heat generated by the unrelated waste heat-producing electronic and electromechanical surgical equipment, and can include a system for measuring and recording the administration of the one or more IV medications and fluids.

A control device (100) for controlling the rotational speed (n.sub.VAD(t)) of a non-pulsatile ventricular assist device, VAD, (50) uses an event-based within-a-beat control strategy, wherein the control device is configured to alter the rotational speed of the VAD within the cardiac cycle of the assisted heart and to synchronize the alteration of the rotational speed with the heartbeat by at least one sequence of trigger signals (σ(t)) that is related to at least one predetermined characteristic event in the cardiac cycle. Further, a VAD (50) for assistance of a heart comprises the control device (100) for controlling the VAD, wherein the VAD is preferably a non-pulsatile rotational, for example catheter-based, blood pump.

The present disclosure pertains to a system and method for automatically detecting rapid eye movement (REM) sleep and delivering sensory stimulation to prolong REM duration, without disturbing sleep. The sensory stimulation may be auditory or other stimulation. The system and method ensure timely delivery of the stimulation and automatically adjust the amount, intensity, and/or timing of stimulation as necessary. REM sleep is detected based on brain activity, cardiac activity and/or other information. REM sleep may be detected and/or predicted by a trained neural network. The amount, timing, and/or intensity of the sensory stimulation may be determined and/or modulated to enhance REM sleep in a subject based on one or more values of one or more intermediate layers of the neural network and one or more brain activity and/or cardiac activity parameters.