A multi-object thermal radiation measuring device may include: a sensing unit including a thermal sensor, and configured to generate a thermal image for a measurement target space based on a detection signal of the thermal sensor; a multi-object thermal radiation measuring unit configured to detect a specific portion of a measurement target object by applying an image recognition technology to the thermal image, and acquire and store a thermal radiation measurement value of the specific portion; a disease symptom detection unit configured to determine whether each measurement target object is abnormal, and detect a disease symptom of an abnormal object based on a result obtained by precisely measuring the thermal radiation of the abnormal object; and a driving unit configured to rotate the sensing unit according to a command transferred by any one of the multi-object thermal radiation measuring unit and the disease symptom detection unit.

The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus. The calibration system includes a calibration tool having markers and a reference point that is aligned with a center of the medical imaging apparatus to serve as an origin of the coordinate system. Positions of the markers in the coordinate system of the medical imaging apparatus are calculated according to relative positions of the markers with respect to the reference point. A 3D camera captures images to determine positions of the markers in the coordinate system of the 3D camera. A calculation device calibrates the coordinate system of the 3D camera and the coordinate system of the medical imaging apparatus using the positions of the markers in the coordinate system of the 3D camera and the p in the coordinate system of the medical imaging apparatus.

A pulse oximetry system including a housing operable to interface with a digit of a user, a light emitter, and first and second light receivers. The light emitter is positioned adjacent to an inside surface of the housing and operable to emit a light, the light configured to transmit through tissue of the digit of the user, wherein some of the light is scattered by or reflected off the tissue of the digit of the user. The first light receiver is positioned adjacent to an inside surface of the housing opposite from the previously mentioned inside surface and operable to detect light that is transmitted through the tissue of the digit of the user. The second light receiver adjacent to an inside surface of the housing and operable to detect light that is scattered by or reflected off the tissue of the digit of the user.

Methods and devices are provided for analyzing acetone in breath. One such method comprises disposing a reactant in a reaction zone within the breath analysis device, wherein the reactant comprises a primary amine disposed on a surface, and wherein the reaction zone has an optical characteristic that is at a reference level. It also comprises pre-storing a liquid nitroprusside solution within the breath analysis device separately from the reactant. The method further comprises using the breath analysis device to cause the breath to contact the reactant in the reaction zone so that the acetone in the breath reacts with the reactant to form a reaction product and, after the reaction product has been formed, using the breath analysis device to cause the nitroprusside solution to contact and react with the reaction product and to facilitate a change in the optical characteristic of the reaction zone relative to the reference level. The method also comprises using the breath analysis device to detect the change in the optical characteristic to sense the acetone in the breath. Apparatuses that use these methods are also described.

Disclosed are processes including receiving at least a first and a second image data record corresponding to a first and a second point in time and including a first and a second one or more images of a wound; obtaining an image of the wound from a particular point of view corresponding to the first point in time by analyzing the first image data record; generating a simulated image of the wound from the particular point of view corresponding to the second point in time by analyzing the second image data record; and generating a visual time series view of the wound including at least the image of the wound from the particular point of view corresponding to the first point in time and the simulated image of the wound from the particular point of view corresponding to the second point in time.

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.

According to an embodiment of the present disclosure, there is provided a laser spectroscopy-based independent device, including: a spectrometer configured to measure a spectrum of generated light which is generated by a laser projected onto a sample; and a disease analysis module configured to determine whether there is lesion tissue by applying a lesion tissue detection learning model to a result of non-discrete spectrum measurement, which is measured by the spectrometer, wherein the spectrometer is configured to measure spectra of all generated light that is generated from a time when the laser is projected onto the sample.

A wearable device includes a testing portion, the testing portion includes receiving space, a bottom surface defining an opening, an opposite top surface, and a first side surface defining a slot. A white light source is received in the receiving space. A wearable portion of the device is secured to the testing portion and the wearable portion can be placed around a terminal device comprising a camera. The opening faces the camera when the wearable portion is around the terminal device, allowing the camera to capture a standard image of the white light, and capture a wet image of a test paper imbued with user bio-matter when the test paper is inserted into the slot. A biological information of the user, as an indicator of health, is calculated according to a color comparison between the wet image and the standard image.

In one embodiment of the present disclosure, an example system may receive a plurality of frames from at least one image sensor associated with a mobile device, at least one of the plurality of frames containing an image of a wound; display a real time video including at least a portion of the plurality of frames and a visual overlay indicating a desired position of the wound; detect, based on at least part of the plurality of frames, that the wound is in the desired position; display an indication to move the mobile device in a desired direction; receive motion data from at least one motion sensor associated with the mobile device; detect that the mobile device has moved in the desired direction; and display an additional indication on the mobile device.

The system and method of the present application includes a physiological sensor and a motion sensor connected to a patient. The physiological sensor detects patient connection to the sensor and collects a physiological signal while connected. When the physiological sensor is disconnected, the motion sensor data is analyzed. Patterns of sensor connection and patient movement typical for nurse initiated removal compared to accidental or patient initiated removals are created. The alarm protocol may be modified if the disconnection is due to patient movement. The detected movement patterns may include movement measurements that are close to the sensor that detects how the actual disconnection happens, or general movement information for the patient such as whether the patient has been still or has moved before the sensor gets disconnected. By using this information to classify the reason of the sensor removal, a more relevant alarm may be generated.