The present application relates to the technical field of medical
system, especially relates to a
monitoring system and method for sleep
grinding teeth, in
signal processing, the present application adopts
wavelet transform to carry out
noise reduction, can effectively remove high-
frequency noise and low-frequency
baseline drift, also dynamically distinguishes
grinding teeth and snoring sound signals through comparison of historical data, solves the common
frequency band interference problem, improves
signal quality and analysis accuracy, furthermore, in
grinding teeth condition judgment and
hazard analysis aspect, multi-dimension comprehensive evaluation
grinding teeth abnormality degree and harm, considers various factors of
grinding teeth, can accurately reflect the actual influence of
grinding teeth on
oral health, provides quantitative and objective basis for
clinical diagnosis, treatment scheme formulation and
curative effect evaluation, finally, in the stimulation judgment link, can accurately identify the grinding teeth position needing intervention, carries out current stimulation to the corresponding part of
masticatory muscle in pertinence, avoids unnecessary intervention, makes treatment more accurate and effective.