Disclosed is a non-therapeutic use of a sensor for detecting biological fluids in vitro, the sensor comprising a substrate coated with conductive ink, the substrate being inert relative to the conductive ink, the sensor comprising means for measuring conductivity or resistivity of the conductive ink, wherein the conductive ink comprises a carbon substrate and a surfactant. The sensor may also comprise a polymer such as a gum. Also disclosed are methods of detecting biological fluids and uses of the sensor.

Techniques are described herein for monitoring activities of organisms, including sleep. In various embodiments, logic (116) may receive, from a first sensor (106) adapted to detect activity in a first area (104), signal(s) indicating activity of an organism. Based on these signal(s), the logic may identify (504) a first time at which the organism transitions into a first state. The logic may later receive (508), from a second sensor (110, 114) adapted to detect activity in a second area (108, 112), signal(s) indicative of activity in the second area. Based on these subsequent signal(s), the logic may identify (510) a second time that is after the first time, determine (512) whether the first sensor provided signal(s) indicative of activity in the first area within another time interval preceding the second time, and selectively store (514) an indication of transition of the organism into a second state based on the determination.

An incontinence detection system monitors an area for moisture events and wirelessly transmits moisture-related information to one or more notification devices. The system has a pad that includes a substrate and one or more sensors supported by the substrate. The sensor(s) emit wireless signals indicative of the moisture-related information. A sensor event communication system forwards the sensor signals to another device, such as a notification device. Portions of the system are included in a patient support apparatus, such as a bed.

A method can use dual-axis accelerometry signals obtained during a time period to classify segments of the time period as a cough or as a non-cough artifact (e.g., a rest state, a swallow, a tongue movement, or speech). The method can include representing segments of the dual-axis accelerometry signals as meta-features for each segment of the time period, preferably one or more time features, frequency features, time-frequency features, or information-theoretic features for each segment. The salient meta-features can be used to classify the segments as a cough or a non-cough artifact. Preferably a processing module operatively connected to the sensor performs the processing of the dual-axis accelerometry signals and also automatically classifies the segments. The method and/or the device can be used to diagnose or treat a dysphagia patient, for example by discriminating a cough from a swallow.

A hearing diagnosis device and a hearing diagnosis method are provided. The device includes a storage unit, an otoacoustic emission detecting module, and a hearing diagnosis management module. The storage unit stores a hearing diagnosis image sample database and a hearing information sample database. The otoacoustic emission detecting module is configured to perform an otoacoustic emission detecting operation by playing a test audio to an ear of a user to obtain a first hearing diagnosis image corresponding to the ear. The hearing diagnosis management module is configured to perform a hearing diagnosis operation according to the first hearing diagnosis image, a plurality of hearing diagnosis image samples of the hearing diagnosis image sample database, and a plurality of hearing information samples, respectively corresponding to the hearing diagnosis image samples, of the hearing information sample database, so as to determine first hearing information of the ear.

Systems, methods and media are disclosed for identifying the crossing of a virtual barrier. A person in a 3D image of a room may be circumscribed by a bounding box. The position of the bounding box may be monitored over time, relative to the virtual barrier. If the bounding box touches or crosses the virtual barrier, an alert may be sent to the person being monitored, a caregiver or a clinician.

Disclosed herein are systems and methods for treating memory impairment, and more specifically to customized visual presentation for treating memory-related disorders and diseases. The disclosed systems and methods can predict clinical status of patients based on platform user behavior, such as those of patients. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of at risk behavior and falls by such an individual being monitored where assistance is required.

A person's fall risk may be determined based on machine learning algorithms. The fall risk information can be used to notify the person and/or a third party monitoring person (e.g. doctor, physical therapist, personal trainer, etc.) of the person's fall risk. This information may be used to monitor and track changes in fall risk that may be impacted by changes in health status, lifestyle behaviors or medical treatment. Furthermore, the fall risk classification may help individuals be more careful on the days they are more at risk for falling. The fall risk may be estimated using machine learning algorithms that process data from load sensors by computing basic and advanced punctuated equilibrium model (PEM) stability metrics.

A system is disclosed herein. The system includes a server, a software-application and a wearable-device. The system includes virtual groups to allows guardians or caretakers to identify/be alerted of any issues with a monitored subject. Events are triggered by various sensed parameters including heart rate, location, medication, etc. Notifications and alerts are sent through the software-application to the guardians and may be viewed by first responders via a First Response Portal. The system is useful for utilizing social grouping to enable family members or close friends to provide caregiver ability to a subject remotely.