This invention relates to the interdisciplinary field of biomedical detection and
Internet of Things (IoT) sensing technology, specifically disclosing a
platelet-rich
plasma concentration detection
system based on IoT biosensors. The
system includes a microfluidic sensor
chip, a multi-frequency electrochemical impedance
spectroscopy (MES) acquisition unit, a
cell morphology identification module, an IoT
communication unit, and a remote
data processing server. It monitors
platelet dynamic aggregation in real time through a three-
electrode system, and combines high-dimensional features of
broadband impedance
spectroscopy with a pre-trained
convolutional neural network model to accurately distinguish between simple
platelet aggregates, platelet-leukocyte complexes, and microthrombus structures. Furthermore, it leverages the
IoT architecture to complete encrypted data upload, remote model optimization, and intelligent coagulation
risk assessment. Through the above technical solutions, this invention improves the sensitivity, specificity, and clinical applicability of the detection, constructing a closed-loop blood
monitoring system from bedside detection to cloud-based decision support.