Abstract: Aspects discussed herein relate to remixing devices that can be used to modify a gas mix being inhaled by a user. The device can accurately adjust inspired CO2 and/or O2 levels independently to a desired level. Aspects described herein generally improve the quality, efficiency, and speed of devices to provide breathing gas mixes. Medical conditions can be diagnosed and a therapeutically effective gas mix can be provided as treatment for diagnosed medical conditions.

Abstract: Aspects discussed herein relate to spirometers that can be used to measure lung function using a mobile device. A user can breathe into a mouthpiece that forces the user's breath through a spirometric encoding assembly. The spirometric encoding assembly can be coupled to a mobile device using a spirometric encoding adapter. The spirometric encoding assembly can generate one or more outputs based on the user's breath; this data can be measured using one or more sensors of the mobile device. The data captured by the mobile device can be processed to determine the flow rate and/or volume of the user's breath. The flow rate and volume can be used to determine a variety of characteristics of the user's health, lung capacity, and/or for diagnosing medical conditions.

Abstract: Aspects discussed herein relate to remixing devices that can be used to modify a gas mix being inhaled by a user. The device can accurately adjust inspired CO2 and/or O2 levels independently to a desired level. Aspects described herein generally improve the quality, efficiency, and speed of devices to provide breathing gas mixes. Medical conditions can be diagnosed and a therapeutically effective gas mix can be provided as treatment for diagnosed medical conditions.

Abstract: Aspects discussed herein relate to spirometers that can be used to measure lung function using a mobile device. A user can breathe into a mouthpiece that forces the user's breath through a spirometric encoding assembly. The spirometric encoding assembly can be coupled to a mobile device using a spirometric encoding adapter. The spirometric encoding assembly can generate one or more audible tones using the user's breath; these audible tones can be measured using a microphone of the mobile device. The audio data captured by the mobile device can be processed to determine the flow rate and/or volume of the user's breath. The flow rate and volume can be used to determine a variety of characteristics of the user's health, lung capacity, and/or for diagnosing medical conditions. A variety of treatment plans can be identified and/or administered based on the diagnosed medical conditions.

Abstract: A device worn by a human performing a method using accelerometer data to classify human activities is disclosed. The method uses memory and computation efficiently. A stream of samples is divided into a sequence of sampling periods; each sample has an acceleration value for each axis (e.g., a 3-D accelerometer). Standard deviation of the values for each axis during each sampling period are calculated. A running sum of each axis' values can be maintained sample-by-sample. Each value is sorted into a bin of a histogram, by quantifying a deviance from a respective mean in standard deviations. A standard deviation produced from samples of a previous period can be used. The histogram is compared with histograms associated with particular activities and a classification output can be produced. Classification outputs from multiple sampling periods can be used for voting. A threshold amount of activity can be required to begin activity classification.

Abstract: A device worn by a human performing a method using accelerometer data to classify human activities is disclosed. The method uses memory and computation efficiently. A stream of samples is divided into a sequence of sampling periods; each sample has an acceleration value for each axis (e.g., a 3-D accelerometer). Standard deviation of the values for each axis during each sampling period are calculated. A running sum of each axis' values can be maintained sample-by-sample. Each value is sorted into a bin of a histogram, by quantifying a deviance from a respective mean in standard deviations. A standard deviation produced from samples of a previous period can be used. The histogram is compared with histograms associated with particular activities and a classification output can be produced. Classification outputs from multiple sampling periods can be used for voting. A threshold amount of activity can be required to begin activity classification.

Abstract: A method and system for assisting a user in achieving a goal are described. Input related to the goal is received from the user. The input includes body sensor data from a body sensor worn by the user, a photograph of the user and/or an avatar configured by the user. Data related to the goal is mined from at least one external source. The user is provided with at least one recommendation for achieving the goal based on the input from the user and the mined data.

Abstract: Systems, devices and methods for monitoring and evaluating cognitive effectiveness are provided. In one exemplary embodiment, a system of r monitoring cognitive effectiveness can include a central network communicatively couple with a local computing device, which can in turn be communicatively coupled with a portable monitoring device. The portable monitoring device can be located in proximity with a subject and configured to collect data from the subject usable in determining a cognitive effectiveness level. Adaptive methods for determining cognitive performance are also provided.

Abstract: Systems, devices and methods for monitoring and evaluating cognitive effectiveness are provided. In one exemplary embodiment, a system for monitoring cognitive effectiveness can include a central network communicatively coupled with a local computing device, which can in turn be communicatively coupled with a portable monitoring device. The portable monitoring device can be located in proximity with a subject and configured to collect data from the subject usable in determining a cognitive effectiveness level. Adaptive methods for determining cognitive performance are also provided.

Abstract: Systems, devices and methods for monitoring and evaluating cognitive effectiveness are provided. In one exemplary embodiment, a system for monitoring cognitive effectiveness can include a central network communicatively coupled with a local computing device, which can in turn be communicatively coupled with a portable monitoring device. The portable monitoring device can be located in proximity with a subject and configured to collect data from the subject usable in determining a cognitive effectiveness level. Adaptive methods for determining cognitive performance are also provided.