This invention discloses a non-invasive real-time monitoring and intervention
system for preventing and treating lower extremity
deep vein thrombosis (DVT). It is characterized by comprising an impedance monitoring module, a microcurrent stimulation module, and a
data analysis and display module. The impedance monitoring module is connected to the
data analysis and display module and includes an impedance measurement circuit and a ring-shaped flexible
electrode patch. The ring-shaped flexible
electrode patch employs a ring-shaped multi-
electrode array composed of multiple sets of electrodes, with current injected into the distal electrodes and
voltage difference detected at the proximal electrodes. The impedance monitoring module measures changes in lower extremity impedance through the ring-shaped multi-
electrode array. The microcurrent stimulation module is connected to the
data analysis and display module and uses a
constant current source output. The data analysis and display module includes a main controller and a display. The main controller combines a
machine learning model to predict DVT risk, achieving closed-
loop control. This invention exhibits good stability, achieving non-invasive, real-time,
continuous monitoring and active intervention, overcoming the shortcomings of existing monitoring and prevention technologies.