We aim to introduce the EELS device, an advantageous somatosensory electrical stimulator composed by hardware, firmware, and software to perform peripheral afferent fibers assessment based on sinusoidal current. We designed the EELS combining the precision given by STM32 microcontroller and the stability generated by the current source based on a bootstrap topology, a simplified and stable system if compared to a first equipment version. We coded the software as an Android Mobile Application (App) to have compatibility with mobile devices and reduce hardware set up time. Workbench tests shows EELS system operation capabilities in terms of Total Harmonic Distortion (THD), stimulus linearity, stimuli's frequency spectrum, and maximum current amplitude. The tests' results show an reduction in linearity when compared to the previous device, but the second order coefficient remains 10,000 times less than the first order coefficient. The bootstrap topology allows for a higher stimuli bandwidth up to 10,000 Hz, and the a higher current intensity (11.2 mA at maximum). Additionally, the App was stable during all tests and considered by us as intuitive and user friendly. Considering all improvements, EELS could outperform its predecessor, presenting a more intuitive and simple operation to break new grounds on research and clinical applications.

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