Approximately half a million mortalities occur in the United States due to cardiac arrest alone; only a few survive from the initial shock. To improve these chances, first responders must resuscitate patients before their arrival to the hospital for proper medical treatment. Unfortunately, none of the devices on the market can be deployed to guide resuscitation by generating useful hemodynamic information to the responder. Animal studies further simulate that obtaining hemodynamic data during medical procedures such as CPR provides optimum patient outcomes. We have created a non-invasive ultrasound-controlled system that measures flow patterns of oxygenated blood within the ascending carotid artery, as a means to guide resuscitation during cardiac arrest. We designed and tested our ultrasound transducers on a water-submerged string phantom that mimics the flow properties of blood. The transducer propagates a pressure wave towards the moving string, and then records the reflected and frequency shifted wave resulting from the Doppler effect. Once the data has been collected in MATLAB, we produce a graphical user interface (GUI) containing a real-time pulsed Doppler spectrogram displaying the blood flow speeds, which are proportional to the Doppler-shifted frequencies. Our team collected data from multiple swine in-vivo to capture the flow rate in the carotid artery. We analyzed and compared the baseline, trauma, and resuscitation measurements to significant parameters such as heart rate and mean arterial pressure. Successful analysis of those pig studies will motivate retrospective human trials that, in turn, should provide sufficient results to motivate commercialization of this technology.