The analysis of a person’s gait has proven to be a useful measure of their progress during rehabilitation and recovery from injury or disease, as well as the progression of various neurological disorders. Standard gait assessment utilizes gait laboratories with expensive equipment that requires highly trained personnel. However, these facilities are not easily accessible in low and middle income settings as such, there is a growing need to develop low-cost, easy to use gait assessment devices to allow patients and clinicians to benefit from.

ECG signals can present challenges for digital processing due to their tendency to oscillate around zero, which is incompatible with the input range of many microcontrollers. To overcome this limitation, we implemented a zero adjust stage using an operational amplifier to add a DC offset to the signal of interest. This modified signal was then interfaced with an Arduino MKR 1010 microcontroller, which allowed us to leverage its Bluetooth capabilities to transfer the data to a PC for further analysis. Through the use of these technical approaches, we were able to effectively process ECG signals and extract valuable information for our research..