Various example embodiments relate to a respiration guidance device including: an outer casing configured to change shape; and a drive unit located within the outer casing and configured to change the shape of the outer casing according to a desired breathing pattern; and the outer casing has at least one slit dividing the outer casing into at least one portion displaceable with respect to a remaining portion of the outer casing; and the drive unit is configured to change the shape of the outer casing by displacing the at least one portion.

Devices, systems and methods are disclosed that allow a patient to self-treat a medical condition, such as migraine headache, by electrical non-invasive stimulation of a nerve, such as the vagus nerve. A nerve stimulator is configured for coupling to a mobile device configured to receive a wireless signal, such as a mobile phone. The stimulator is further configured to generate an electrical impulse and to transmit the electrical impulse through the contact surface and the outer skin surface of the patient to modulate a nerve within the patient.

This relates to systems and methods for determining one or more of a user's physiological signals. The one or more of the user's physiological signals can be determined by measuring pulsatile blood volume changes. Motion artifacts included in the signals can be canceled or reduced by measuring non-pulsatile blood volume changes and adjusting the signal to account for the non-pulsatile blood information. Non-pulsatile blood volume changes can be measured using at least one set of light emitter-light sensor. The light emitter can be located in close proximity (e.g., less than or equal to 1 mm away) to the light sensor, thereby limiting light emitted by the light emitter to blood volume without interacting with one or more blood vessels and/or arterioles. In some examples, the systems can further include an accelerometer configured to measure the user's acceleration, and the acceleration signal can be additionally be used for compensating for motion artifacts.

Embodiments disclosed herein provide methods, systems, and computer readable storage media for facilitating enhanced communication with an application service provider based on medical telemetry collected by a user device. In a particular embodiment, a method provides collecting medical telemetry of a user of the user communication device and processing the medical telemetry to identify abnormalities therein. Upon identifying at least one abnormality in the medical telemetry, the method provides determining whether the at least one abnormality indicates that the user is experiencing a health issue. After determining that the at least one abnormality indicates that the user is experiencing the health issue, the method provides transferring a health notification indicating the health issue to the application service provider.

Disclosed embodiments provide for deep convolutional computing image analysis. The convolutional computing is accomplished using a multilayered analysis engine. The multilayered analysis engine includes a deep learning network using a convolutional neural network (CNN). The multilayered analysis engine is used to analyze multiple images in a supervised or unsupervised learning process. The multilayered engine is provided multiple images, and the multilayered analysis engine is trained with those images. A subject image is then evaluated by the multilayered analysis engine by analyzing pixels within the subject image to identify a facial portion and identifying a facial expression based on the facial portion. Mental states are inferred using the deep convolutional computer multilayered analysis engine based on the facial expression.

An image generation system includes a region of interest identifying unit operable to identify a region of interest within a piece of content, the piece of content comprising one or more objects, and an image generation unit operable to generate an image for display comprising one or more of the one or more objects such that objects at a different visual depth to the region of interest are present in the generated image at a lower quality.

A system and method for automated body mass index is disclosed. The disclosed method operates within a system architecture including one or more computing devices, one or more servers, and one or more databases. A processor operating within the one or more servers executes one or more algorithms for detecting relevant features associated with a potential client's multimedia information. The method may include calculating feature values, such as abdomen circumference, face width, face height, cheekbone width, jaw width, and neck width, and the like as well as calculating the body mass index of the potential client using one or more regression algorithms. A baseline and updated BMI may be determined, and used for determining a baseline and updated value.

A method for identifying human joint characteristics, the method including the steps of: using a mobile imaging device, taking at least one image of the joint, and then identifying a joint pain location by identifying three different locations in the image near the joint, so that a center point between the locations can be triangulated.

Subject matter disclosed herein may relate to systems, devices, and/or processes for processing signals and/or states representative of behavioral and/or biological state.

Systems and methods of measuring feet and designing and creating orthopedic inserts are described. A leg length discrepancy of a user is measured and this data, along with foot size are input into a computer. The computer then creates a computer model of a custom shoe insert based on this information. The computer model is then sent to a 3D printer to print the insert. The insert consists of a base insert with partial correction, and several additional layers that are added successively over time until a full correction is obtained. This eliminates any pain associated with a fully corrective insert, and allows the body to adjust gradually to the correction.