Abstract: A computer readable storage medium includes executable instructions to receive sensor data measurements associated with usage of a mobility aid device and extract sensor feature parameters from the sensor data measurements. The computer readable storage medium further includes executable instructions to derive a usage state corresponding to the usage of the mobility aid device, based on the sensor feature parameters.

Abstract: Devices, methods, and systems for monitoring, classifying and encouraging activity through the use of an accelerometer or other sensor in a toy or other accessory (such as a backpack or watch) that records activity are disclosed. The activity is classified, using various motion classification algorithms, to determine the specific types and amount of activities performed and the times and duration for which they were performed. The classified data is used in the rest of the system, which allows users to view activity history, recommendations for how to improve health, and play games in which the player's game performance is effected by their activity levels. In games and on the website, feedback is also given to users to encourage and reward exercise, while handicapping users that are not active.

Abstract: A haptic sensor for performing palpation includes a deformable membrane having a reflective surface, a light source, a camera, and a processor. When the sensor is pressed against an object on a body, the deformable membrane deforms to contour to the shape of the object, light is reflected off the reflective surface, and captured by a camera. The reflected light is processed to reconstruct a 3-D image of the object. The rendered image can show abnormalities such as cysts, tumors, or other abnormalities, as well as arterial pressure pulses. In different embodiments, the sensor illuminates the deformed membrane from multiple directions, using shape-from-shading or grayscale mapping, or using video streams to provide more accurate images. The sensor is able to be included as part of a mobile device, such as a mobile phone, thereby making it compact and portable.

Abstract: Systems and methods for automatically analyzing and selecting prominent channels from multi-dimensional biomedical signals in order to detect particular diseases or ailments are provided. Such systems and methods may be applied in different ways to obtain numerous benefits, such as lowering of power and processing requirements, reducing an amount of data acquired, simplifying hardware deployment, detecting non-trivial patterns, obtaining, clinical episode prognosis, improving patient care, and/or the like.

Abstract: A method includes receiving contextual data related to at least one of environmental, physiological, behavioral, and historical context, and receiving outcome data related to at least one outcome. The method further includes creating a feature set from the contextual data, selecting a subset of features from the feature set, assigning a score to each feature in the subset of features according to the probability that the feature is a predictor of the at least one outcome, and generating a characteristic curve for the at least one outcome from the subset of features, the characteristic curve being based on the scoring. The method further includes calculating the area under the characteristic curve, and using, the area under the characteristic curve, identifying whether the subset of features is a suitable predictor for the at least one outcome.

Abstract: The present invention relates to methods and apparatus for quantitative assessment of neuromotor disorders using sensors and analyzing the data collected from the sensors to determine if a patient suffers any neuromotor disorders. In one embodiment, the present invention is a system for assessing neuromotor disorders in a body including a plurality of pressure sensors adapted for attachment to the body and measuring pressure, a med node connected to the plurality of pressure sensors for generating data corresponding to the plurality of pressure sensors, and an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a neuromotor disorder in the body.

Abstract: A handheld, conforming capacitive sensing apparatus configured to measure Sub-Epidermal Moisture (SEM) as a mean to detect and monitor the formation of pressure ulcers. The device incorporates an array of electrodes which are excited to measure and scan SEM in a programmable and multiplexed manner by a battery-less RF-powered chip. The scanning operation is initiated by an interrogator which excites a coil embedded in the apparatus and provides the needed energy burst to support the scanning/reading operation. Each electrode measures the equivalent sub-epidermal capacitance corresponding and representing the moisture content.

Abstract: A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.

Abstract: Congestive heart failure (CHF) is a leading cause of death in the United States. WANDA is a wireless health project that leverages sensor technology and wireless communication to monitor the health status of patients with CHF. The first pilot study of WANDA showed the system's effectiveness for patients with CHF. However, WANDA experienced a considerable amount of missing data due to system misuse, nonuse, and failure. Missing data is highly undesirable as automated alarms may fail to notify healthcare professionals of potentially dangerous patient conditions. Embodiments of the present disclosure may utilize machine learning techniques including projection adjustment by contribution estimation regression (PACE), Bayesian methods, and voting feature interval (VFI) algorithms to predict both non-binomial and binomial data. The experimental results show that the aforementioned algorithms are superior to other methods with high accuracy and recall.

Abstract: A saliency function is computed to indicate the saliency of each of a plurality of data points in a dataset. For each local maximum in the saliency function, a segment of the dataset is inserted into an index.

Abstract: A system includes a pressure sensitive material that provides an indication of applied pressure for multiple locations on the material, and an analysis device in communication with the pressure sensitive material. The analysis device receives the indication of applied pressure, determines, for each of multiple measurement periods, a pressure image from the indication of applied pressure such that a sequence of pressure images is determined, and constructs a manifold representing the sequence of pressure images.

Abstract: A respiration rate of a human subject is derived by: (1) receiving data corresponding to a sequence of two-dimensional pressure distributions of the human subject as applied against an array of pressure sensors over time; (2) converting the data into a one-dimensional waveform; (3) identifying oscillations in the one-dimensional waveform as occurrences of breath of the human subject; and (4) deriving the respiration rate of the human subject based on frequencies of the oscillations.

Abstract: Activities and abnormalities in activities are detected by: (1) receiving data corresponding to measurements of an activity occurring during a time interval; (2) determining a plurality of primitives associated with the data, wherein each of the plurality of primitives represents a characteristic pattern in a portion of the time interval; (3) derive an activity structure relating a first subset of the plurality of primitives that are correlated in time; and (4) based on the activity structure, classify a second subset of the plurality of primitives as an abnormal instance of the bodily activity.

Abstract: An instrument gathers and processes data from one or more capture devices. The data can thereafter be processed using one or more classification techniques to properly detect and/or reproduce motions for an application. The present invention can be used both outdoors and indoors.

Abstract: A location of a sensor is determined by: (1) receiving time series data including components in a plurality of dimensions, wherein the time series data correspond to measurements of the sensor that is applied to a subject; (2) determining a plurality of subsequences associated with the time series data, wherein each of the plurality of subsequences represents a characteristic pattern projected along one of the plurality of dimensions; (3) identifying a correlated subset of the plurality of subsequences as at least one instance of an activity of the subject; and (4) based on features of the correlated subset, determining the location of the sensor as applied to the subject.

Abstract: A compact perfusion scanner and method of characterizing tissue health status are disclosed that incorporate pressure sensing components in conjunction with the optical sensors to monitor the level of applied pressure on target tissue for precise skin/tissue blood perfusion measurements and oximetry. The systems and methods allow perfusion imaging and perfusion mapping (geometric and temporal), signal processing and pattern recognition, noise cancelling and data fusion of perfusion data, scanner position and pressure readings.

Abstract: A system for monitoring patient activity comprising: at least one measurement device configured to provide data related to a patient's physical activity; and a server configured to make an inference regarding the patient's physical activity based on data provided by the at least one measurement device. In some embodiments, the inference is a determination of a type of physical activity. In some embodiments, the measurement device is configured to be worn by the patient or carried in the patient's pocket. In some embodiments, two or more measurement devices are used. In some embodiments, the server is remotely located from the measurement device. In some embodiments, the server is configured to archive and retrieve the data provided by the measurement device and the inferences.

Abstract: In some aspects, the invention provides compositions and methods for inhibiting viral infection. In some aspects, the invention provides compositions and methods useful for identifying antiviral compounds.

Abstract: A sensor system and method configured to take multiple channels of sensors, and based on context and user behavior reflected in the signals, identifies specified channels for sensing according to a sensing policy. The sensing policy is used to reduce the amount of data sampled, such that it is possible to reconstruct the values of the non sampled sensors efficiently. The sensing policy is influenced by user and system's behavior and can be assigned either offline or in real time.

Abstract: Monitoring and rewarding of physical activity are carried out by: (1) receiving a measurement of a physical activity from a sensor; (2) processing the measurement of the physical activity to derive a valid extent of the physical activity; and (3) controlling an entertainment device based on the valid extent of the physical activity.