Smart Weight System

Adults over age 60 were noted to report muscle wasting and general muscular weakness/lack of autonomy. To combat these conditions, the Smart Weight System was developed. The main components were a wearable accelerometer sensor/microprocessor to transmit Bluetooth Low Energy data for doctor-prescribed workouts. These workouts consisted of repetitions of the sit-to-stand and stand-to-sit motion, which were counted via acceleration data. Relative accelerations were used to find patient velocities over time, for which peaks were identified to count 'reps.' The amount of reps, workout time (in seconds), and the average speed (in m/s) were transmitted over BLE to an Android application that could store these data in Firebase for physician access.

Sam Silva

Sam is from Kansas City, Missouri. He has been studying Biomedical Engineering at SLU and graduates in the spring. Sam is applying for engineering positions post-graduation and has been considering BME-related graduate school paths farther into the future.

Dimitri Loli

Dimitri was born in Saint Louis. He will be graduating from Saint Louis University in May with a bachelor's degree in Biomedical Engineering. Dimitri is currently applying for jobs as the semester is coming to an end and has particular interest in the path of medical sales/bioinstrumentation. He plans to stay local since he has a big Greek family he could never leave.

Almar Myrtaj

Almar was originally born in Albania but raised in Saint Louis. He will be graduating from Saint Louis University in the spring with a bachelor’s degree in Electrical Engineering. Having experience in industrial power and arc flash studies, he is looking for jobs. He is also willing to branch out into the tech industry. Almar is familiar with multiple AutoCAD suites and coding languages such as Python and MatLab. He plans to stay local to help support his mother, father, and 2 younger brothers.

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