The present disclosure relates to a method of recommending cosmetics based on a melanin index and a hemoglobin index and a device thereof, and more particularly to a method for implementing quantification and standardization based on hemoglobin and melanin indexes from personal color consulting, which conventionally done offline based on a color index (Lab index) and has high result variability depending on personal experience or knowledge of a consultant and recommending cosmetics based on the quantification and standardization. The method includes measuring a hemoglobin index and a melanin index of skin and providing a measured value, classifying the measured hemoglobin index and melanin index of the skin into one of a plurality of categories based on a predetermined reference, and recommending cosmetics suitable for a color or condition of the skin corresponding to the measured and classified hemoglobin index and the melanin index of the skin, wherein a category of the color of the skin is classified into 4 seasonal categories including a spring type, a summer type, an autumn type, and a winter type.

Data derivable from remotely detected electromagnetic radiation (16) emitted or reflected by a subject (12) is processed. The data includes physiological information. An input signal is received and indicative entities are transmitted. The indicative entities being indicative of physiological information representative of at least one vital parameter (17; 150) in a subject (12) of interest, wherein the indicative entities are detected under consideration of at least one defined descriptive model (114) describing a relation between physical skin appearance characteristics and a corresponding representation in the input signal such that non-indicative side information represented by non-indicative entities in the input signal is substantially undetectable in a resulting transmitted signal. The at least one vital parameter (17; 150) is detected from the transmitted signal including the indicative entities. The at least one vital parameter (17; 150) is extracted under consideration of detected skin color properties representing circulatory activity.

An end stage renal disease (ESRD) monitoring system may include an implantable sensor and a reader device with an optical sensor. The implantable sensor may be configured to detect a group of analytes relevant to ESRD, such as glucose, creatinine, urea, and potassium. The implantable sensor may be implanted into the dermis of an animal, and may exhibit color changes in response to the presence of the target analytes or reaction product(s) thereof. The reader device may be configured to capture an image of the implanted sensor and to determine the concentration of the target analytes based at least in part on the image. The reader device may be a personal electronic device such as a cell phone, PDA, or personal computer.

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 prosthetic component suitable for long-term implantation is provided. The prosthetic component measures a parameter of the muscular-skeletal system is disclosed. The prosthetic component comprises a first structure having at least one support surface, a second structure having at least one feature configured to couple to bone, and at least one sensor. The prosthetic component is a housing for the at least one sensor and electronic circuitry. The electronic circuitry is hermetically sealed from an external environment. The at least one sensor couples to the support surface of the first structure. The support surface of the first structure is compliant. The first and second structure are coupled together housing the at least one sensor and electronic circuitry.

A method, apparatus and system for processing acquired skin texture data, wherein the method for processing acquired skin texture data comprises: acquiring Qi and Blood state information by triggering a Qi and Blood information acquisition step (101a) in a skin texture area, acquiring skin tone state information by triggering a skin tone information acquisition step (101b), acquiring skin elasticity information by triggering a skin texture information acquisition step (101c), acquiring skin moisture information by triggering a skin moisture information acquisition step (101d), and acquiring luster and gloss information by triggering a skin gloss information acquisition step (101e); and comparing the acquired skin tone state information, skin elasticity information, skin moisture information and luster and gloss information with pre-set indicator intervals, and determining the overall skin texture state of the skin texture area in combination with the Qi and Blood state information (102).

The present invention relates to an apparatus (10) for monitoring of a patient undergoing a Magnetic Resonance Image (MRI) scan. The apparatus comprises an input unit (20), a processing unit (30), and an output unit (40). The input unit is configured to provide the processing unit with at least one sensor data of a patient undergoing an MRI scan by an MRI scanner. The input unit is configured to provide the processing unit with at least one scan parameter of the MRI scanner for the MRI scan. The input unit is configured to provide the processing unit with at least one characteristic of the patient. The processing unit is configured to predict a stress level of the patient and/or a predicted motion state of the patient, the prediction or predictions comprising utilization of the at least one sensor data of the patient, the at least one scan parameter of the MRI scanner, and the at least one characteristic of the patient. The output unit is configured to output information relating to the predicted stress level of the patient and/or the predicted motion state of the patient.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

Apparatus and methods are described for use with urine and feces of a subject that are emitted into a toilet bowl. One or more sensors are coupled to the toilet bowl and are configured to detect one or more urine-related parameters relating to the subject's urine and one or more feces-related parameters relating to the subject's feces, without requiring any action to be performed by any person subsequent to emission of the urine or feces into the toilet bowl. A computer processor determines that the subject is suffering from dehydration, at least partially based upon the one or more urine-related parameters, and classifies the dehydration as being a given type of dehydration, at least partially based upon the one or more feces-related parameters. Other applications are also described.