An example of a system for providing patient care guidance to a caregiver based on ultrasound detection of blood flow includes a defibrillator including an electrode assembly and an output device, a portable computing device communicatively coupled to the defibrillator and including an output device, a Doppler shift waveform evaluation engine disposed at the defibrillator and/or the portable computing device, and a wearable ultrasound blood flow sensor configured to couple to a patient and the defibrillator and/or the portable computing device and to generate data signals representing a Doppler shift waveform. The engine is configured to receive the data signals representing the waveform, generate caregiver instructions according to a cardiac arrest protocol, analyze the waveform based on the received data signals, identify heart-induced blood flow based on the waveform analysis, and generate and provide caregiver instructions according to a non-cardiac arrest protocol based on the identified heart-induced blood flow.

A transcranial magnetic stimulation (TMS) treatment system is provided. The system includes a sensor device that senses EEG signals from a subject through one or more leads and a server device configured to receive EEG data corresponding to the subject. The server includes an analysis module configured to process the EEG data and determine a personalized resonant brain frequency and a minimum neuronal activation threshold of the subject based at least in part on EEG data corresponding to one or more leads of the sensor device. The analysis module is also configured to determine a TMS treatment protocol where the treatment protocol includes at least a frequency based on the personalized resonant brain frequency and an amplitude based on the minimum neuronal activation threshold. The system also includes a treatment device configured to deliver a TMS treatment to the subject based on the TMS treatment protocol received from the server.

Toilet seat comprising a device for detecting values, in particular health-related values of a user, wherein the device for detecting values comprises a multispectral camera for collecting multispectral data, system for detecting values comprising such a toilet seat, and method for detecting values of a user.

The disclosure provides methods of managing opioid therapy, particularly, for pain management. The methods comprise determining in a subject, for example, a subject who has received an opioid treatment, pupillary unrest in ambient light (PUAL). Low values of PUAL can be used to identify patients at risk for opioid side-effects, such as opioid-related respiratory depression (OIRD), and who warrant attention to prevent such side effects. Accordingly, the methods include monitoring the patients having low values of PUAL for signs of adverse side-effects and/or limiting or avoiding administration of opioids.

A sheet-shaped oral appliance is provided that is detachably attached to an oral body device and includes a functional portion with a sensor unit that acquires information in an oral cavity and an energy irradiation unit that radiates energy into the oral cavity, an electrical connection portion, and a wiring portion that connects at least one of the sensor unit and the energy irradiation unit to the electrical connection portion. The functional portion, the connection portion, and the wiring portion are formed by a wiring layer having first and second main surfaces that oppose each other, a first insulating layer arranged on the first main surface and a second insulating layer arranged on the second main surface. Moreover, in the functional portion, a thickness of the first insulating layer is smaller than a thickness of the second insulating layer.

In one embodiment, an ablation system includes a catheter including at least one electrode, and configured to be inserted into a chamber of a heart of a living subject, an ablation power generator configured to apply an electrical signal to the at least one electrode to ablate tissue of the chamber, at least one body surface patch configured to be applied to a body surface of the living subject, and provide at least one position signal, and a processor configured to compute an index of a measurement of diaphragm movement responsively to the at least one position signal, and perform an action responsively to the computed index.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

The present invention provides a breathing assistance apparatus that has a convenient and effective method of cleaning internal conduits inside the apparatus. The breathing assistance apparatus is preferably a gases supply and humidification device. The cleaning method is a method of disinfection that is automated so minimal training is required to disinfect in particular an internal elbow conduit within the device. It is therefore not necessary to dismantle the gases supply and humidification device, therefore, inadvertent damage to the internal parts of the device is avoided. The present invention also provides a method of disinfecting a heated breathing conduit and a patient interface.