A61B5/1113

Methods and Systems for Determining Sensory Motor Performance Based on Non-Postural Information

Methods and systems relate to determining sensory motor performance based on user non-postural movements within a generated dynamic virtual environment. The generated environment requires users to: (i) utilize primary sensor inputs (e.g., vision, vestibular sensation and somatosensation); (ii) assess the dynamic virtual environment; and (iii) integrate and translate those inputs into movement to control the dynamic virtual environment. The methods may include receiving non-postural user input with respect to a state of one or more attributes of a dynamic virtual environment provided on a user interface for one or more sessions, the one or more attributes including a control object and a target which moves with respect to the control object; determining performance information based on the user input and the state of the one or more attributes for the one or more sessions; and determining sensory motor performance information from the performance information.

PORTABLE DEVICE
20170279474 · 2017-09-28 ·

There is provided a portable device (2) for wirelessly communicating with a remote further device (4). The portable device comprises a power source (6) chargeable by a power supply (8) separate from the portable device. The portable device is configured to have a plurality of coupling states associated with the power supply. The power supply is separate from the device and remote from the further device. The portable device also comprises communication apparatus (10) wirelessly connectable to the further device and configured to enable the portable device to have a wireless connection state associated with the further device. A processor (12) is configured to monitor a change between a first and a second of the said coupling states; and, output data for changing the connection state based upon the change from the first coupling state to the second coupling state.

SYSTEMS AND METHODS TO VISUALIZE ROAMING PATIENT MONITORS

A non-transitory computer readable medium stores instructions executable by at least one electronic processor to perform a method of tracking patient movement through a medical facility. The method includes: receiving wireless roaming data for a wireless patient device associated to a patient from a wireless electronic data communication network comprising a plurality of access points (APs) dispersed through the medical facility; from the received wireless roaming data, determining a connection history for the wireless patient device indicating the AP connected with the wireless patient device as a function of time; and generating a visualization of the connection history for the wireless patient device.

CHRONOTHERAPEUTIC DOSING OF MEDICATION AND MEDICATION REGIMEN ADHERENCE
20170246086 · 2017-08-31 ·

Chronotherapeutic dosing can include receiving, using a processor, sensor data from a sensor for a user, wherein the sensor data is collected subsequent to the user starting a regimen for a medication, determining, using the processor, a biological marker from the sensor data, wherein the biological marker is correlated with the medication, and comparing, using the processor, the biological marker with an expected state of the biological marker based upon a dose time of the medication. Chronotherapeutic dosing can also include providing, using the processor, a notification indicating a result of the comparing.

Ultrasonic and optical tracking method and system for small animal research
20170248696 · 2017-08-31 ·

A system for three-dimensional animal tracking in laboratory conditions is proposed. A mobile device that has one infrared and one ultrasonic sensor, equipped with memory and/or radio transmitter, is attached to a moving creature. One compact stationary box is placed in the vicinity; it emits a pre-determined sequence of short infrared pulses, short ultrasonic signals and two planar, radially emitted light beams that move through the area of interest with constant angular speed in two orthogonal directions. The mobile device receives two angular coordinates in the form of two time intervals between an infrared pulse and the next two orthogonal planar beam receptions, and it receives one linear coordinate in the form of the time interval between an infrared pulse and the next ultrasonic signal reception, taking into account the speed of sound in the air. The ultrasonic emitter is driven by a pulse-width modulated signal to make it undetectable by animals.

Multi-application-transceiver device and methods for target monitoring
09746551 · 2017-08-29 ·

A multi-application-transceiver device, control computer, computer implemented method and computer program product for operating the multi-application-transceiver device is disclosed. At least one signal transceiver receives a reflected signal in response to an original signal sent by the at least one signal transceiver. The reflected signal is reflected from at least one target object. A signal conversion unit converts the reflected signal into digital format. A digital signal processor component pre-processes the converted reflected signal using an alterable rule engine with a received rule set to discriminate a state inn change of the at least one target object against an earlier state of the at least one target object in the context of a particular monitoring application. A middleware component communicates with at least one remote computing device wherein communicate includes to send the pre-processed signal to the remote computing device, and to receive from the at least one remote computing device the rule set for the alterable rule engine. The received rule set defines an application specific setting for the at least one signal transceiver and for the digital signal processor component to enable the particular monitoring application.

System and method for monitoring a retail environment using video content analysis with depth sensing

A method and system for monitoring a retail environment by performing video content analysis based on two-dimensional image data and depth data are disclosed. Accuracy in customer actions to provide assistance, change marketing behavior, safety and theft, for example, is increase by analyzing video containing two-dimensional image data and associated depth data. Height data may be obtained from depth data to assist in object detection, object classification (e.g., detection a customer or inventory) and/or event detection.

EAR-WORN DEVICES FOR COMMUNICATION WITH MEDICAL DEVICES
20220304580 · 2022-09-29 ·

Embodiments herein relate to medical device systems including ear-worn devices. In an embodiment, a medical device system includes an ear-worn device including a control circuit, a microphone in electrical communication with the control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, and a power supply circuit in electrical communication with the control circuit. The ear-worn device can be configured to received signals from a separate medical device and generate a notification using the received signals. Other embodiments are also included herein.

Methods and systems for remotely determining levels of healthcare interventions
09734295 · 2017-08-15 · ·

The present subject matter relates to methods and systems utilizing wearable sensor technology to determine when a patient's health may be degrading to trigger progressively higher levels of care and involvement, from “free” hands and eyes to skilled clinicians, in order to keep patients in the lowest cost setting of care, the home, for as long as possible.

Height jumping sensor system & method
20220305337 · 2022-09-29 ·

An athlete wearing footwear measures jump heights with a motion sensor mounted on the footwear over toes of the athlete. By sensing vertical jump start motions the sensor detects jump start and finish times of −4 g start and −4 g landing. The sensor, a body wearable mems sensor developed by JAWKU, L.L.C., has a previously installed generic factory scale calibration factor. The athlete replaces this calibration factor with a new calibration scale factor selecting an “absolute” external reference device which measures jump height. This device measures several jump heights then inputted to an algorithm app in the sensor to calculate the new calibration scale factor customized to the actual athlete. The motion sensor has built in programming apps to periodically receive an upgraded factory scale calibration factor which upgrade is based on an ever increasing data pool of jump heights. The updated factory calibration factor is then again replaced by the athlete personally taking several new measured jumps which jump heights are in turn inputted to the sensor. The progress made in evolving jumping skills based on training and specific conditioning exercises can thus be motion sensor evaluated.