Abstract: Disclosed is a system for objective self-assessment of physical capabilities and condition changes of individuals with conditions like multiple sclerosis, the system has a mobile device with an appropriate software for carrying out a set of tests for assessment of motor capabilities such as body balance, muscle strength, and muscle spasticity, and receiving assessment feedback. The system has inertial motion sensors for performing motion sensing, wherein said inertial motion sensors are integrated with said mobile device, e.g., a smartphone, a smart watch, or a personal computer, or in a separate wearable sensor device, connected with said mobile device over wired or wireless data connection. Also disclosed is a method for such self-assessment with such system.

Abstract: Systems, methods and software products determine an overall motion and/or flexibility envelope for an individual. Movement and position data of the individual is captured and processed to generate an overall motion and/or flexibility envelope for the individual defining overall motion and/or flexibility of the individual. The systems include a flexibility server with memory and a processor adapted to receive movement and position data of the individual, a motion and/or flexibility analyzer, implemented as machine readable instructions stored in the memory and executed by the digital processor, capable of processing the movement and position data to generate an overall motion and/or flexibility envelope for the individual defining overall motion and/or flexibility of the individual.

Abstract: A system and method for continuous readout is provided. The object of the invention is achieved by a contact surface for attaching to a surface of an organism, a sensor in thermal contact with the contact surface, a radiochip operatively connected to the sensor, wherein the radio chip will respond to an induced signal from a reader by reading data from the sensor and transmit said data, and method for operating the sensor wherein the data from the sensor is compensated for environmental effects using comprising a second sensor for detecting at least one property from the group comprising ambient temperature, pressure, flow, level, proximity, displacement, bio, image, gas, chemical, acceleration, orientation, humidity, moisture, impedance, capacitance, force, electric, magnetic and mass, thus forming compensated data.

Abstract: A one step all-in-one apparatus for body fluid sampling and sensing, comprising: a housing(1), a plurality of integrated sampling and sensing assemblies, a cartridge(12), sealing films(101,102), an upper cover(13), a sampling port(6), a linear actuating mechanism and a control circuit, with every integrated sampling and sensing assembly comprising a micro fluid-sampling needle(2), a needle hub(3) and a test strip(4); the micro fluid-sampling needles(2) penetrate the skin to sample the body fluid and deliver the body fluid to the test strips(4) directly, and changes occurred on the test strips(4) are read by the sensor(5), wherein sampling and sensing are completed in one step.

Abstract: A bite force measuring system comprising a mouthpiece interfaced to a control unit. The mouthpiece comprises memory for storing calibration parameters. The mouthpiece comprises a fluid-filled compressible cavity, and a fluid-pressure-sensing device for measuring a pressure of a fluid contained in the fluid-filled compressible cavity. The mouthpiece comprises a communication interface for transmitting the calibration parameters and the measured pressure to the control unit. The control unit comprises a communication interface for receiving the calibration parameters and the measured pressure from the mouthpiece. The control unit comprises a processing unit for calculating a bite force corresponding to the measured pressure. The calibration parameters and the measured pressure are used calculating the bite force corresponding to the measured pressure.

Abstract: Disclosed is a method and system for monitoring a separation anxiety of a pet that may recognize an activity of the pet using a support vector machine (SVM) based on pet-related data acquired from a sensor, and may determine whether the pet is in a separation anxiety state by analyzing input data that is the recognized activity of the pet using a complex event processing (CEP).