An object of the present invention is to provide a durometer enabling a contact portion in contact with an object to perform smooth piston motion. The durometer includes a main body unit including a movable unit pressed continuously against an object to be measured, a first sensor outputting acceleration information corresponding to an acceleration of movement of a contact part of the object to be measured in contact with the movable unit in a pressing direction, a second sensor outputting reactive force information corresponding to a reactive force at the contact part of the object to be measured in contact with the movable unit, a motor, a crank mechanism driven by the motor and causing the main body unit and the movable unit to perform piston motion, and at least one buffering member disposed on a periphery of the main body unit.

System for comparing the physiological parameters of a patient, including: a primary detection device constituted by printed circuits arranged on a flexible support, adapted to be placed at a first skin portion to be diagnosed; the printed circuits including at least a matrix of temperature sensors and a microcontroller; a secondary detection device constituted by printed circuits arranged on a flexible support, adapted to be placed at a second skin portion, healthy, of a patient in order to detect the same data as the first skin portion; the printed circuits including at least a matrix of temperature sensors and microcontroller; a display device in order to allow the display of the data detected by the primary detection devices.

A computer-implemented method for determining a pain treatment for a person or an animal with a pain condition, including identifying, by a processor, a level of pain being experienced by the person or animal. A method in which a level of pain experienced by the person is determined by obtaining a multimodal image or video the person, and determining the level of pain, on the basis of this multimodal image or video, via a trained Machine Learning Algorithm. The Machine Learning Algorithm is previously trained based on a training multimodal image or video of different subjects, each annotated by a benchmark pain level, determined by a biometrist and/or a health care professional based on extensive biometric data concerning the subject considered.

A personal care system having a treatment device for applying a treatment to the skin or hair of a user is provided. The treatment device has a camera for taking an image of the skin. The system may include or be in communication with an application programming interface (API) that can process the image. The system or an associated API can recommend the use of treatment regimens or topical products according to information determined from the digital image of the skin.

A vibrotactile stimulation device intended to be applied against a body environment (MC) to be stimulated and having a vibrating effector suitable for applying, to the environment, pulses of mechanical vibrational energy, and a controller controlling the effector according to stimulation rules. The device further includes vibration detector suitable for being exposed to the body environment in order to receive a part of the vibrational energy transmitted to the environment during the application of the pulses of vibrational energy, and determine a transmission characteristic of the vibrational energy between the effector and the environment to be stimulated, the vibration detector being linked to the controller. An application to improving the efficacy of body stimulation in combating sleep apnea is also disclosed.

The present invention is a camera with video-rate acquisition and processing for medical imaging applications. In particular, the invention is used to determine the health of a body area by quantitatively measuring blood oxygen levels and melanin content from a real-time video image of a body segment. In certain embodiments, a camera comprises an objective lens; a filter tray located at an aperture stop of the objective lens, wherein the filter tray comprises a plurality of elements, each element passes a spectral band of light; a micro-lens array located at an exit pupil of the objective lens comprising a plurality of micro lenses to form an image plane, wherein the objective lens produces a focused image at the image plane; and a focal plane array comprising a plurality of sensors, wherein each sensor receives light from at least one micro-lens of the micro-lens array.

A software configuration generates, with a processor, a graphical user interface that renders a menu of a plurality of selection indicia. The plurality of selection indicia includes a skincare rejuvenation area indicium, a skincare assessment indicium, and a skincare interactive cue indicium. Furthermore, the software configuration receives, with the processor, a first user input corresponding to a skincare rejuvenation area associated with the skincare rejuvenation area indicium. Moreover, the software configuration receives, with the processor, a second user input corresponding to the skincare assessment indicium to initiate a skincare assessment based on the skincare rejuvenation area. Furthermore, the software configuration performs, with an image capture device, an image capture of the skincare rejuvenation area. Additionally, the software configuration performs, with the processor, an image analysis of the image capture with one or more previous image captures captured by the image capture device.

A skin treatment system (1) comprises a functional member (20) configured to perform a treatment action on skin (2) and to be moved over the skin (2) during operation of the system (1), and a measurement unit (40) including a measurement member (41) configured to be moved over the skin (2) along with the functional member (20) and to be made to indent the skin (2) in the process. The measurement member (41) is displaceable in the measurement unit (40), and the measurement unit (40) is configured to measure a value related to an extent to which the measurement member (41) gets displaced relative to a default position in the measurement unit (40) by action of the skin (2). The measured value corresponds to a measure of an extent to which the skin is indented by the measurement member (41). On the basis of measurement results generated by the measurement unit (40), it is possible to automatically adapt operation of the system (1) to the type of body area under treatment.

A system is described to create customized unique identification (UID) codes combined with customized printable optical or NFC sensors and to combine these unique sensors and unique IDs with unique environmental events, traceability, unique data from cell phones (including geolocation) and person-specific unique indicators such as biomarkers to create completely unique, low cost and proprietary printable genomic and environmental blockchain sensor networks for the Internet of Things (IoT), counterfeit identification, healthcare, pharmaceutical applications and small payment transactions worldwide.

A system having a scope with a longitudinal length extending between a proximal end and a distal end includes a plurality of markers spaced along the longitudinal length. The system also includes a disassociation and positioning device that is configured to enhance unsedated transnasal endoscopic procedures by at least partially occluding the vision of a patient while enabling body cavity access, and optionally record and sense body functions such as temperature, heart rate and oxygenation of the blood stream. The system further includes a sensor integrated into the distraction device, wherein the sensor is configured to detect the markers on the longitudinal length of the scope.