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.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.

The present technology relates to the field of medical monitoring. Patient monitoring systems and associated devices, methods, and computer readable media are described. In some embodiments, a patient monitoring system includes one or more sensors configured to capture first data related to a patient and a monitoring device configured to receive the first data. In these and other embodiments, the patient monitoring system can include an image capture device configured to capture second data related to the patient. In these and still other embodiments, the one or more sensors can be configured to instruct the patient monitoring system to display the second data.

Certain embodiments describe a system, method, and apparatus for multi-spectral photoacoustic imaging. A method, for example, can include receiving multi-spectral photoacoustic image data from a photoacoustic imaging system. The method can also include pre-processing the multi-spectral photoacoustic image data. The pre-processing can comprise determining a number of significant components above a noise floor of the multi-spectral photoacoustic image data. In addition, the method can include detecting tissue chromophores based on the number of significant components from the multi-spectral photoacoustic image data using an unsupervised spectral unmixing process. The unsupervised spectral unmixing process can include clustering and windowing of the multi-spectral photoacoustic image data. The method can further include displaying the detected tissue chromophores in an abundance map.

In some examples, a device includes a catheter insert elongated body defining a body lumen, the catheter insert elongated body being configured to be at least partially inserted to a catheter lumen defined by a catheter without covering a first fluid opening of the catheter and to form a fluidically tight coupling with the catheter, and one or more sensors positioned on the elongated body. At least one of the one or more sensors are configured to sense a substance of interest. The catheter insert elongated body includes a material that is a substantially non-permeable to the substance of interest.

Provided is a biological information detection device including: an image acquisition unit that acquires an image composed of image signals including a plurality of wavelength components obtained by capturing reflected light from an object; a region division unit that divides the image into a plurality of regions for each frame; a local pulse wave detection unit that detects a pulse wave based on wavelength fluctuation between frames for each of the regions; and a blood pressure estimation unit that calculates propagation velocity of the pulse wave based on an appearance time difference of patterns of the pulse waves in two or more regions extracted based on an appearance order of the patterns of the pulse waves in the plurality of regions, and estimates a blood pressure based on the propagation velocity of the pulse wave.

An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n≥3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m≥2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

A healthcare apparatus includes a ballistocardiogram (BCG) sensor configured to sense a ballistocardiogram signal of a subject, a camera configured to acquire a color facial image, and a processor configured to detect a region of interest (ROI) from the color facial image, to detect a first color image of a forehead area to acquire a first black and white image, to detect a second color image of a cheek area to acquire a second black and white image, to apply the first and second black and white images to a predetermined trained algorithm model to output a remote photoplethysmography (rPPG) signal waveform of the subject, to calculate a first heart rate from the BCG signal waveform, to calculate a second heart rate from the remote PPG signal waveform, and to output a heart rate of the subject based on the first heart rate and the second heart rate.

An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.

The present invention relates to a system and method of skin detection of a human subject using a textile product. The textile product (10, 31, 43) is made from or comprising textile including near-infrared, NIR, absorbing pigments. It supports and/or partially covers the human subject while skin detection and/or detection/monitoring vital signs of the human subject is carried out. A increased contrast between the textile product and skin in the NIR wavelength range is thus achieved.