Optical Monitoring of Muscle Hemodynamics in Humans After Exercise

Overview

Optical monitoring of muscle hemodynamics in humans after exercise Shubhecchha Dhaurali Medford High School 12thGrade Goal: Use Near-infrared spectroscopy to study calf muscle hemodynamics during rest and activity in healthy subjects to determine blood flow and oxygen consumption to coincide with possible form of detection for Peripheral Arterial Disease (PAD). Abstract: This project used near-infrared spectroscopy, a non-invasive method of measuring oxy-hemoglobin, de-oxyhemoglobin, and myoglobin within tissue, to quantify blood flow and oxygen consumption changes for six healthy humans during rest and after three different intensities of exercise. This was in order to determine any method of peripheral arterial disease, PAD, detection using NIRS. PAD occurs when a person has obstructed veins and arteries with plaque and their blood vessels are occluded which is very painful, but also life-threatening. Current detection does not measure early PAD which is very life threatening as many patients solely have surgical options, whereas if early detection was available, they could steadily change their diets and exercises. The protocol for this project was first a baseline measurement with a 2 minute rest, 1 min occlusion at 60 mmHg, 1 min baseline, 2 min oscillations at 60 mmHg at 0.1 Hz, 1 min baseline, then an arterial occlusion with a 2 min baseline, 1 min occlusion at 200 mmHg, 1 min baseline, 2 min oscillations at 200 mmHg 0.1 Hz, and 1 min baseline. The arterial and venous occlusions mimic an obstructed blood vessel and its hemodynamic implications. The equipment was then unhooked and exercises were completed twice followed by the individual venous and arterial measurements. My hypothesis was if a person’s blood flow and oxygen consumption are measured when at rest, and during high and low intensity exercise, then responses for high intensity will be the largest. My hypothesis on the high intensity response for the oxygen consumption was supported, but my high intensity blood flow hypothesis response in all six subjects was not supported. This project has developed blood flow and oxygen consumption presets to define what normal levels are for healthy patients making it possible to compare hemodynamic quantifications to a PAD patient for detection purposes with the average blood flow to be 0.5484 mL of blood per 100 mL of tissue per minute and 1.7667\muM /100 ml blood/min. Work I have since done is computing oxy-hemoglobin, deoxy-hemoglobin, and mean arterial pressure slopes for each intensity level as well as creating a new protocol for testing. Work is ongoing.

Competition history

• AJAS 2019 Category not listed

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