Fitbit One: Uses three-dimensional accelerometer to detect motion

1. System for K-Level Assessment in Amputees: Turning Qualitative into Quantified Results. Connor Bortz, Matthew Galbraith, Jessica Lewis, Chelsea Madden, Anthony Rossi Final Design Overview Concept Generation Prototype Background Information Product Overview • Current Problem: • Amputees nationwide have trouble gaining Medicare approval • Data that is analyzed is too qualitative • Need to develop a method that uses tangible data to justify patient’s K-Level selection • End Goal: • Implement a device that collects ambulation data throughout the day and effectively display this data • K-level designation will be based on data collected • Fitbit One: • Uses three-dimensional accelerometer to detect motion • Measures relevant parameterssuch as steps taken, distance traveled, and elevation • Able to record and store ambulation data for periods up to 10 days • Clips onto most articles of clothing • Commercially available for less than $100 The Product Testing Process The FitBit® “One”, a commercially available product has the capabilities needed for the project. Project Scope To develop a system to measure various gait parameters that pertain to ambulating to be used for diagnosis justification, and prosthetic prescription. • Prototype data collection process: • Data from the Fitbit is extracted and stored in the cloud • Fitabase converts the data into an intraday csv file • Ambulation data is processed and produces K-Level Diagnosis. • In addition to the prototype, the experiments and clinical trials were carefully designed as well. In order for the program to be implemented, necessary clinical trials will be used for validation of the device’s use in the prosthetic industry. Metrics Problem with Data Collection • Traditional Fitbit data collection process: • Data is collected by the Fitbit • The user uploads the information the device has collected to the Fitbit database • These values are displayed directly from the Fitbit website • Problems with this method include: • The smallest increment of time the data can be viewed is one day • The cadence change of the user cannot be calculated • There is little customization with how the data is displayed • Cannot handle large volume of patients. Testing Plan The accuracy of the Fitbit and capabilities of Fitabase were tested through various simulations. The purpose of the simulations was to emulate different K-levels, specifically K-2 and K-3. These two levels are the most difficult to differentiate, causing the most problems during diagnosis and Medicare applications. Validation The testing validated that the Fitbit was indeed accurate and Fitabase was able to capture the appropriate data to differentiate simulated K-2 and K-3 patients. Path Forward Next, the Fitbit will be used on actual amputee patients in order to gather data and normalize across the different K-levels. The finalized software will then predict a patients K-level based on ambulation data acquired by the Fitbit, which will help diagnosis and Medicare approval. Acknowledgements We would like to thank our sponsor, John Horne, our advisor Dr. Buckley, and the rest of the Senior Design Staff.