Depth data-based pressure ulcer diagnosis system and method using multispectral light source

A depth data-based pressure ulcer diagnosis method using a multispectral light source, the method comprising:

• (1) a step of emitting light on skin of a body part for assessing pressure ulcers by a light emission unit (110), the light emission unit (110) comprising a body unit (112) having a central hole, a light source unit (111) including a plurality of multispectral light sources arranged on the body unit (112) around the central hole and configured to emit multispectral light having wavelengths different from each other within a range of 600 to 900 nm to the same skin area for assessing pressure ulcers, and a controller (113) configured to control light radiation of the plurality of multispectral light sources to selectively output the wavelengths different from each other according to an absorption wavelength characteristic of biological tissues;
• (2) a step of measuring light transmittance by a measurement unit (120) by using a reflected light reflected when the light emission unit (110) emits light to the skin of the body part for assessing pressure ulcers, the measurement unit (120) comprising a depth camera arranged at a central part of the body unit (112) corresponding to the central hole so that the reflected light from the same skin area is measured through the central hole and configuring the light transmittance measured for each of the wavelengths as depth data of skin characteristics per wavelength of the multispectral light;
• and
• (3) a step of assessing a state of pressure ulcers by a pressure ulcer diagnosis unit (130) on the basis of the light transmittance measured in the measurement unit (120), wherein the pressure ulcer diagnosis unit (130) assesses a state of a pressure ulcer on the basis of the depth data, including quantitatively assessing the state of the pressure ulcer to determine a progression stage through big data learning utilizing a difference in the light transmittance and non-invasively assessing a depth of a pressure ulcer incidence, and representing a progress degree of the pressure ulcer in three dimensions using depth data standardized for a grade of pressure ulcers.