Abstract: An arteriovenous fistula (AVF) stenosis detection system and method thereof and sensing device are provided. The AVF stenosis detection system includes: a sensing device including a microphone; and a server coupled to the sensing device. The sensing device contacts a first location of a patient body, wherein there is a first distance between the first location and a second location of an AVF of the patient body, and the first location is located on an extended path of an artery or a vein corresponding to the AVF. The sensing device receives a frequency spectrum signal through the microphone and transmits the frequency spectrum signal to the server. The server calculates a stenosis percentage of the AVF corresponding to the frequency spectrum signal through a machine learning module and transmits the stenosis percentage to the sensing device.

Abstract: A detection system and a detection method and a sensing device for detecting stenosis of carotid artery are provided. The invention detection system for detecting a stenosis of a carotid artery includes a sensing device and a server. The sensing device includes a microphone. The microphone receives a frequency spectrum signal from a first location. There is a first distance between the first location and a second location of at least one of a plaque and a thrombus in the carotid artery. The first location is located on an extended path of the carotid artery. The server receives the frequency spectrum signal and calculates a stenosis percentage of the carotid artery corresponding to the frequency spectrum signal through a machine learning module and transmits the stenosis percentage to the sensing device.

Abstract: An arteriovenous fistula (AVF) stenosis detection system and method thereof and sensing device are provided. The AVF stenosis detection system includes: a sensing device including a microphone; and a server coupled to the sensing device. The sensing device contacts a first location of a patient body, wherein there is a first distance between the first location and a second location of an AVF of the patient body, and the first location is located on an extended path of an artery or a vein corresponding to the AVF. The sensing device receives a frequency spectrum signal through the microphone and transmits the frequency spectrum signal to the server. The server calculates a stenosis percentage of the AVF corresponding to the frequency spectrum signal through a machine learning module and transmits the stenosis percentage to the sensing device.