Heart Rate Variability Device
Septmeber 2019-December 2019
There was a study conducted in the Netherlands that showed that heart rate variability (HRV) could be used to detect the risk of cardiovascular disease (CVD) for people with anxiety. My lab partner and I wanted to replicate this study to see if it could be used in the United States given the HRV ranges for different degrees of anxiety. The diagram to the right is a block diagram of the system we developed for this project.
In order to detect and process the ECG signal from test subjects, the circuit showcased to the right was designed to amplify, filter, and shift the signal so the software could easily detect the heart beat of the subject. Once the ECG signal was properly detecting beats, Simulink was used to develop the software to find when heart beat detection occurred. Heart beat detection was done by finding when the R peak occurred within each QRS complex. From there, that data was process to calculate the standard deviation between successive normal RR peaks (SDNN).
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The SDNN value of the collected data was used to identify the HRV of the tested patient. Durning our testing phase, we were able to prove that the study conducted in the Netherlands could be replicated as the tested subject had a value within the appropriate range. After 4 months of developing our instrument, the final product was a success as it surpassed our goal of preforming a 99% sensitivity rate and 100% positive predictive value. Moving forward, we need to implement a plan to further test ranges that categorizes individuals with anxiety.
Senior Capstone
July 2018-December 2018
Lung Biotechnology uses a chemical called Perfluorodecalin (PFD) which is pumped into the company's prototype of an artificial lung. "Off-the shelf" pumps have been found to be extremely inefficient as PFD has unique mechanical properties such as a low surface energy and high viscosity and density values (when compared to water). Due to it's abnormal characteristics, our team was asked to find and modify a pump that efficiently pumps PFD with limiting constraints of the footprint size, cavitation, flow rate and pressure head.
Our group had tested 3 different positive displacement pumps measuring the change of pressure, input power, flow rate, and temperature. With the measured values, efficiency was calculated for all pumps and it was found that the gear pump best complimented the needs of the project however, cavitation of the fluid did occur in the testing phase. Through extensive research, the team recommended design changes to the pump to avoid cavitation and further improve efficiency.
Open loop test model on Solidworks
Closed loop test model on Solidworks
Clinical Research Kit Storage Phase II
January 2017-August 2017
Starting my second co-op at Dana Farber, the clinical research kit storage project just began phase two. The project needed a designed system for an effective workflow that manages a 10,000 item inventory for clinical trial supply center. We decided to develop an inventory management system using Excel VBA to print barcode labels, capture images, and track inventory movement. Once the prototype was running, front line staff were instructed to use the newly designed system. The chart below portrays the work completed for the project durning the 8 months I was at Dana Farber.
Samples of class work done on ANSYS
The assignment asked student to understand how a beam with fixed ends would respond to a changing force.
The model analysis showed values of force and moment throughout the beam. Additional support was place on the bean from the analysis provided.
Samples of class work done on AutoCAD
A mounting flange was modeled from measurements taken by a caliper.
The pages of an app was drafted to show how users would interact with it. The app is a solution to an amputee with one arm who has difficulty using a smart phone with one hand.
Samples of class work done on LabVIEW
In the lab, an unknown temperature was asked to be found with three different devices. This set up was made for each device and tested in known temperatures (freezing and boiling). With the data provided in LabVIEW, a calibration curve was created to find the fixed temperature of the unknown.
Samples of class work done on MATLAB
This Simulink design models a mass with damping and spring forces attached to it. To understand the motion of the mass with an applied force, positioning of the mass was graphed through the scope.
The command window is asked to use a STEP function to graph the position of the mass. This was use to confirm that the Simulink design was done properly.