Patients who suffer kidney failure are often treated by hemodialysis. To avoid needles piercing veins or arteries for this process, patients receive an arteriovenous graft, which can become clogged. If unnoticed, clogs can inhibit blood flow and have potentially fatal impacts, even death. The researcher explores a Bluetooth wearable sensor and Android application that will identify the clogging symptom in the earlier stages and notify a caretaker to seek treatment. Utilizing machine learning to characterize the individual’s blood flow, the wearable sensor and app recognize anomalies. Further advancements include reducing power usage and improving accuracy of the machine learning algorithm.