Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

Provided is a control device (20, 20a) for controlling an operation of an aerosol nebulizer system (30), said aerosol nebulizer (system 30) comprising an aerosol generator (31) for nebulizing a liquid or an aerosol source for dispensing aerosol, said control device (20), 20a comprising: a communication unit (21, 21a), configured to establish a first wireless communication connection and to perform first data transmission with the aerosol nebulizer system (30), a control unit (22, 22a), configured to evaluate a progression of identifications received via the first data transmission and received in association with aerosol nebulizer data units respectively related to a usage of the aerosol nebulizer system (30).

The present disclosure provides systems, methods and apparatuses for inducing a desired biological response in an organism through the use of one or more repetitive signals from one or a series of LED lights designed to emit the signal with multiple pulsed components. Each component of the signal contains a one or more light color spectrum or wavelength that is within 50 nm of the peak absorption of a photon receptor of the organism corresponding to the desired biological response. Each component has a repetitive ON duration with an OFF duration and an intensity where the relationship between the ON duration and OFF duration of the first component and the second component induces the desired response in the organism through the stimulation or excitation of a molecule associated with a photoreceptor and the reset of the molecule.

A bed-leaving prediction device (server device) (10) is connected through a digital communication network (60) to: a portable information processing terminal (40) of care staff; environmental sensors (32 to 34) for detecting environment values such as temperature in a room; a human sensor (31); and a bed sensor (35). A bed-leaving prediction processing section (115) calculates a bed-leaving prediction value indicative of a degree of possibility that a care recipient leaves a sleeping furniture after a second time interval has expired since a current time point based on a plurality of environment values detected in a time period between the current time point and a time point before expiration of a first time interval, outputs of the human sensor, and outputs of the bed sensor. A bed-leaving notification processing section (117) compares the bed-leaving prediction value with a threshold value, and transmits, to the portable information processing terminal, a bed-leaving notification indicating that the care recipient leaves the sleeping furniture after the second time interval expires when the bed-leaving prediction value exceeds the threshold value.

There is provided a method for determining dementia risk factors by a server using deep learning. In this instance, the method for determining dementia risk factors includes acquiring biometric information from each subject corresponding to a first control group through a wearable device, acquiring measurement information for each subject corresponding to the first control group, deriving a first dementia risk factor based on the biometric information and the measurement information for each subject, and deriving a second dementia risk factor related to the first dementia risk factor via deep learning performed based on the biometric information related to the first dementia risk factor and control group information.

A method for detecting a wearable device's contact with a living body may be provided, including obtaining a decreasing rate of body temperature and a decreasing a rate of environmental temperature measured by a wearable device worn on a living body; and determining the wearable device's contact with the living body based on a comparison of the decreasing rate of body temperature and the decreasing rate of environmental temperature. A corresponding apparatus and computer program product for detecting a wearable device's contact with a living body may also be provided.

The present disclosure relates to establishing bidirectional communication between a brain wave processing device and a vehicle to control at least one vehicle component of the vehicle. For this purpose, a brain-computer communication channel is provided between the brain wave processing device and the respective vehicle component. Subsequently, a control signal is determined as a function of a brain wave of the operator of the brain wave processing device and transmitted via the brain-computer communication channel to adapt at least one operating parameter of the respective vehicle component. This causes a change in the operating state of the respective vehicle component. Depending on this, an output signal is generated and is assigned to the change in the operating state of the vehicle component. This output signal is transmitted back to the brain wave processing device via the brain-computer communication channel and is output to the operator by means of an output unit of the brain wave processing device.

Methods, computer-readable media, systems, and/or apparatuses are provided for providing offer and insight generation functions. User input requesting an offer or insight may be received and an image of a photographic identification of a user may be requested. The image of the photographic identification may be captured and stored. A self-captured image of the user may be captured (e.g., via an image capture device of the computing device) and compared to an image of a user from the photographic identification. Responsive to determining that the images match, displaying an instruction to capture a vehicle identification number. The vehicle identification number may be captured. Data, including location data, may be extracted and an archive including the extracted data may be generated and the data may be transmitted to an entity computing system for processing. The entity computing system may evaluate the data and generate one or more insights and/or outputs.

An ambulatory medical device comprises: a sensing component to be disposed on a patient for detecting a physiological signal of the patient; and monitoring and self-test circuitry configured for detecting a triggering event and initiating one or more self-tests based on detection of the triggering event. The ambulatory medical device senses the physiological signal of the patient substantially continuously over an extended period of time.

A wearable biofluid volume and composition system includes a microfluidic flexible fluid capture substrate having a microfluidic channel configured as a sweat collection channel and is configured to be worn on a human body and to collect and analyze biofluid. The microfluidic flexible fluid capture substrate further has a plurality of conductive traces and electrodes. An electronic module is attached to the microfluidic flexible fluid capture substrate and is configured to measure and analyze data from the biofluid collected by the microfluidic flexible fluid capture substrate and to transmit the analyzed data to a smart device.