Abstract: The present disclosure relates to a biomarker, a kit, and a method for detection or auxiliary detection of proton irradiation and use thereof, and belongs to the field of biotechnology. The present disclosure provides a microbial biomarker for detection or auxiliary detection of proton irradiation, in which the microbiota includes at least one of Cyanobacteria, Epsilonbacteraeota, Anaerovorax and Helicobacter. In the present disclosure, whether a subject to be tested is exposed to proton radiation is accurately determined by detection of an abundance or relative abundance of DNA of the microbial biomarker. This is conductive to timely accident rescue, casualty treatment and clinical treatment application, which is of great significance to radiation treatment.

Abstract: The utility model discloses a reflection-type multi-sensor array blood oxygen detection device, which comprises an apparatus body, a photosensitive sensor array, a light transmitter array and a bandage, wherein the light transmitter array is distributed around the photosensitive sensor array; and a light shielding plate is arranged between the light transmitter array and the photosensitive sensor array. The blood oxygen detection device can be used for effectively measuring the degree of blood oxygen saturation of the human issue by detecting the reflected light of the human tissue.

Abstract: The present disclosure relates to a system for physiological signal quality assessment, the system includes: a first filter module for implementing a filter process on an inputted first physiological signal; a first periodicity detection module for detecting periodicity of the filtered first physiological signal, and determining periodic segmentation point of the first physiological signal; a feature extracting module for extracting corresponding signal features of the first physiological signal in each heart period; and a fuzzy logic module for building up a fuzzy logic model according to the extracted signal features, and calculating a signal quality index for the first physiological signal in the relative period based on the built fuzzy logic model, and determining a signal attribute according to the signal quality index. A method for physiological signal quality assessment is provided as well.