A method and apparatus are for movement analysis. The apparatus and method receive acceleration data from an accelerometer (or measurements from other motion sensors) that is carried by a user. The acceleration data is divided into epochs and a determination is made as to whether the user is walking or running within each epoch. Consecutive epochs in which the user is found to be walking may be concatenated to determine periods of time during which the user is walking or running. An initial estimate of the time that the user starts to walk or run and stops walking or running are determined for each period of walking. An iterative optimization process is then performed to determine accurate start and stop times for the period of walking or running.

There is provided a system (100) for detecting paralysis, weakness or numbness. A processor (102) acquires data obtained by a sensor (106) of a personal care device (104) used by a subject on a first part of their body and compares this data to reference data obtained by the sensor used by the subject on a second part of their body to determine whether the acquired data comprises an abnormality. The acquired data is indicative of a manner in which the subject used the device on the first part and/or a physiological property of that part. The reference data is indicative of a manner in which the subject used the device on the second part and/or a physiological property of that part. The processor detects paralysis, weakness or numbness in the first or a third part of the body of the subject when the acquired data comprises an abnormality.

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.

A method for monitoring placement of a first physiologic sensor of a hearing device with respect to an ear of a user, the first physiologic sensor configured to monitor a heart rate of the user of the hearing device, includes: obtaining first physiologic sensor data from the first physiologic sensor at the hearing device; obtaining second physiologic sensor data from a second physiologic sensor at an external device, the second physiologic sensor configured to detect the heart rate of the user; performing a comparison based on the first physiologic sensor data from the first physiologic sensor, and the second physiologic sensor data from the second physiologic sensor; and setting a reference physiologic sensor data based on the first physiologic sensor data and/or the second physiologic sensor data if the comparison results in a match, or providing a notification if the comparison does not result in a match.

A method of monitoring a user's neuronal activity (10) includes recording a user's behavioural output with a portable electronic device, such as a mobile cellphone. The user's behavioural output (14) is compared (18) with predefined behavioural outputs associated with known event-related neuronal activations (20). The user's event-related neuronal activation (22) is determined based upon the comparison so as to provide an indication of the user's neuronal activity.

The invention relates to a method for manufacturing modules with one or more optoelectronic components, comprising the steps: producing at least one layer stack providing a base module on a carrier having a first layer, an active layer formed thereon, and a second layer formed thereon; exposing a surface area of the first layer facing away from the carrier; forming a first contact to a surface region of the second layer facing away from the carrier; and forming a second contact to the surface area of the first layer facing away from the carrier.

The present disclosure provides generally for a therapeutic oral device for sleep apnea and associated methods for using the device. According to the present disclosure, the device may comprise a hard palate portion, mouth guard portion, and a tongue retainer portion. The hard palate portion may comprise one or more materials. The hard palate portion may also comprise a composite of materials, including but not limited to embedded materials. The mouth guard portion may comprise one or more components that provide stability and maintain the position of the therapeutic oral device within the mouth. The tongue retainer portion may comprise an airway and a predetermined length. A method of use may comprise the utilization of one or more incremental oral devices to overcome a gag reflex. When the oral device is formed from a mold, the mouth guard portion and the hard palate portion may be custom fit to the dimensions of the intended mouth.

Systems and methods for facilitating product preferences and/or product recommendations are disclosed. Biometric data of the subject are taken into account by the systems and methods in order to determine product preferences and/or product recommendations. Other factors of the subject, although optional, may be also taken into account while determining product preferences and/or product recommendations for a subject. These product preferences or recommendations can be presented to the subject, either automatically via a display device or with assistance from a product consultant. To obtain the biometric data, the subject will be exposed to a number of stimuli, such as fragrance/scent stimuli. Biometric data will then be collected from the subject based on her response to this fragrance/scent stimuli. In some examples, the collected biometric data relates to a subject's event-related potential (ERP)—the measured brain response that is the direct result of a specific sensory, cognitive, or motor event.

Methods, systems, and computing platforms are disclosed. Exemplary implementations may: identify and store anatomical landmarks on a first reference digital image of a region of a human body; insert biopsy site identification data on the first reference digital image with the anatomical landmarks to form a second reference digital image; transform the second reference digital image into a mesh mask image; and overlay the mesh mask image on a third digital image of the region of the human body.

Methods, systems, and devices for illness detection are described. A method may include identifying baseline temperature data associated with a user based on temperature data collected from the user via a wearable device throughout a first time interval. The method may include receiving additional temperature data collected via the wearable device throughout a second time interval, and inputting the baseline temperature data and the additional temperature data into a classifier. The method may include identifying a satisfaction of deviation criteria between the baseline temperature data and the additional temperature data, and causing a graphical user interface (GUI) of a user device to display an illness risk metric for the user based on the satisfaction of the deviation criteria, the illness risk metric associated with a relative probability that the user will transition from a healthy state to an unhealthy state.