A robotic medical assistant vehicle and interface (R-MAVI) is disclosed. The robotic medical assistant vehicle and interface helps contain viruses by reducing human interaction. The robotic medical assistant vehicle and interface combines robotics with medicine to achieve the safest and most efficient reception, transportation and initial assessment of a patient.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

A detection system includes a portable object that comprises a sensor configured to detect biological information on a user and is portable by the user, and a function execution device configured to acquire the biological information on the user detected by the sensor through communication, and execute a predetermined function based on an authentication result of the user associated with the biological information on the user.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

An application user is granted access to one or more applications that provide the user with information and assistance. Altitude and/or motion data is collected from one or more devices associated with the user, and the device altitude and/or motion data is utilized to identify physical activities being performed by the user. The device altitude and/or motion data is further analyzed to determine physical activity count data, physical activity speed, velocity, and/or acceleration data, and physical activity length data. The physical activity data is then analyzed to identify and monitor changes or anomalies in the physical and/or psychological state of the user using baseline physical activity data. Upon identification of changes or anomalies in the user's physical and/or psychological state, one or more actions are taken to assist the user.

A system and method using a microphone to collect sound data produced by a potential patient's respiration and speech. The system preferably uses a microphone on a portable electronic device—such as a smart phone. The analysis of the collected data is preferably performed locally—such as by a software application running on the smartphone. The software is used to analyze the data and therefore determine and track useful parameters such as respiration rate and respiratory tidal volume. The software also analyzes phonation patterns. Using the parameters, the inventive system can detect the onset of respiratory distress.

Particular embodiments described herein provide for an apparatus to determine biometric data of a user including: a processing circuit configured to: generate a control signal relating to a control value for controlling a wavelength of emitted light of a light source; receive biometric input data based on reflected light from the skin of the user caused by the light of the wavelength emitted by the light source; and determine biometric data of the user based on the biometric input data; and an output interface configured to provide the biometric data of the user.

The present invention is a small device containing at least the following elements: a MEMS microphone, an amplifier, a microprocessor with audio frequency filters, a wireless transmitter, and a battery. The device may be placed behind the ear of the user on a bony protrusion of the skull and may be held in place by a variety of known methods, including adhesives such as spirit gum, adhesive tape, and a small circular adhesive bandage. The MEMS microphone detects sounds transmitted through the skull by bone conductance and the microprocessor analyzes the sounds to determine whether they are associated with a bruxism event. If so, data associated with the sounds are sent via the wireless transmitter to an external device. The data may be stored for later review by the user or medical professional, or may trigger a response such as an auditory or vibratory alarm.

A method of estimating a number of lung function indices of an individual. The method includes: transmitting an ultrasound signal toward a chest of the individual from a speaker of a smartphone while the individual is holding the smartphone in a hand of the individual; receiving in a microphone of the smartphone a reflected signal reflected from the chest of the individual in response to the ultrasound signal; extracting a number of features from the reflected signal; and providing the number of features to a neural network regression model, wherein the neural network regression model estimates the number of lung function indices based on the number of features and based on a non-linear correlation between chest wall motion and human lung function.

A method for processing blood pressure measurement includes obtaining a facial feature point of an object, determining a first height difference between the facial feature point and an origin of a second coordinate system based on a first coordinate of the facial feature point in the second coordinate system and a first attitude angle of the second coordinate system relative to a first coordinate system, determining a third height difference between the origin of the second coordinate system and the heart of the object based on the first height difference and a second height difference, where the second height difference is a height difference between the facial feature point and the heart of the object, and determining blood pressure based on a blood pressure measurement signal of the object and the third height difference.