University of Colorado

Tam Vu

Robin Deterding

Nam Ngoc Bui

Ann C Halbower

Phuc Tien Nguyen

Farnoush Banaei-kashani

Hoang Truong

Anh Nguyen

Nhat Pham

Embodiments of the present technology include a wearable physiological monitoring device, related algorithms and software that are tied to a portable electronic device for readout. The wearable device can perform real-time measurement of a number of physiological and environmental parameters including heart rate, pulse oximetry, respiration, movement, environmental particulate matter, moisture, temperature (e.g., ambient air and body temperatures) and geospatial location. Some embodiments may establish a physiological baseline for a patient by measuring the above parameters during a healthy state. Collected data can be wirelessly transmitted to a portable electronic device or monitoring and feedback platform where software will analyze the data and make assessments of the device wearer's health based upon the wearer's baseline.

Health monitoring and evaluation system

A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

Wearable system for intra-ear sensing and stimulating

A respiration rate measurement apparatus including a plurality of sensors for concurrently generating temperature, pressure and acoustic data representing one or more successive breaths and a method of generating fusion data from the plurality of data streams as a weighted average based on determined correlation coefficients and calculation of a respiratory rate.

Respiration rate measurement system

A computer-implemented method for identifying tongue movement comprises detecting an electroencephalography ('EEG') signal from an EEG sensor. The EEG sensor is configured to sense the EEG signal generated by a brain in association with a tongue movement. The method also comprises detecting the EMG signal from the EMG sensor. The EMG sensor is configured to sense the EMG signal generated by cranial nerve stimulation of muscles associated with the tongue movement. The method also includes identifying the tongue movement based on the EEG signal and the EMG signal. The method then includes correlating the tongue movement with one of a plurality of tongue location areas.

Tongue localization, teeth interaction, and detection system

The present invention provides a light-weight wearable sensor that can capture electroencephalogram (EEG or brain signals), electromyography (EMG or muscle signal), and electrooculography (EOG or eye movement signal) using a pair of modified off-the-shelf earplugs. The present invention further provides a supervised non-negative matrix factorization learning algorithm to analyze and extract these signals from the mixed signal collected by the sensor. The present invention further provides an autonomous and whole-night sleep staging system utilizing the sensor's outputs.

In-ear sensing systems and methods for biological signal monitoring

The present invention provides an apparatus for the measurement and monitoring of the breathing volume of a subject. In certain embodiments, the invention further provides a method of using the apparatus to diagnose a subject as suffering from a respiratory disorder. In other embodiments, the apparatus and method can be used to monitor the breathing volume of a subject, while compensating for random body movement of the subject during the monitoring period.

Growing community of inventors

Denver, CO, United States of America

Tam Vu