P19043: Essential Tremor Evaluation/public/
Customer Handoff & Final Project Documentation
Table of Contents
Team Vision for Final Demo and HandoffOur team had pretty big plans for this phase. We were able to demonstrate a working prototype machine that was capable of acquiring both motion data and MyoMuscle EMG data. Our initial plan was to create a second device that would be more lightweight, but would also follow the same logic as our prototype device. We decided that we would leave the prototype iteration of our device functional while trying to improve on the design. Due to problems with shipping, we were not able to complete the second iteration of our design. We completed our paper, our poster, and were able to complete the lightning talk. We also adjusted our fully functional prototype device such that it was lighter and better suited to use throughout all of imagine by affixing components with glue or fasteners.
Human Test Results SummaryRaw Data
Test PlanOur test method to determine how well this product subscribes to our engineering requirements is detailed in 'Device Test Rev2'. This document details our success criteria and our testing methods. We will determine the success of each test, and will respond by adjusting the success criteria panel of each TER.
Calibration VerificationWhile each of our components was purchased with a calibration guarantee, we decided to conduct our own calibration checks. We first conducted calibration checks for our IMU devices. We found a drill, and using a slow motion camera, we determined that it operated in the ball park of 900 RPM. This corresponds to a frequency of 15 Hz. We proceeded to disturb a hollow tube on which we situated our IMUs. When we performed frequency analysis on our device utilizing recorded data, we determined a frequency of 13 Hz. This response seems well within reason. We were also able to verify that the magnitude of IMU data was correct by orienting the device in the cardinal directions allowing the device to feel acceleration due to gravity. When we did this, we would perform analysis on acceleration data using the Pythagorean theorem, and we were able to determine an acceleration of 9.81 for each data point. We then decided to utilize a Biomedical Lab in Institute Hall to collect reference EMG data for each of the motions in our human testing procedure. We then compared the data collected via this method to the data collected with our device. The data from our device correlated to spikes and lulls in locations consistent with the information determined from our reference.
Results of System IntegrationWe were able to create a device that operates in collecting real time muscle and motion data that is completely standalone from a computer. This means that we have eliminated a USB connection for data transmission and power. Each of our hardware systems have integrate with one another acceptably. Through the HC-05 Bluetooth chip, hardware connects to our software subsystem which is capable of displaying and recording our real time data. We have demonstrated full functionality of what we set out to create. There are definitely logistic improvements that need to be made to the device, but it functions as intended.
Device Testing ResultsBy using our device testing criteria we were able to determine the results stored in the 'Device Testing Results' document. We were able to pass each of our TER tests except that of our weight specification. We determined that the full device weight comes out to 0.82 lbs. while our specification was 0.75 lbs. This may mean that some of the tremor signal is being mitigated in our device based on NCBI research about tremor mitigation wristbands.
We were initially creating our second iteration device to fix this problem, but due to shipping delays this turned into an impractical hope. Luckily we still have a functional prototype as it stands.