Objective. Design a low frequency Neuromuscular Electrostimulation prototype with modifiable digital parameters through the Arduino platform. Methodology: The following work shows the design of a low-frequency neuromuscular electrostimulation equipment prototype with similar characteristics to conventional devices but with a unique design in its programming, this prototype allows modifying the parameters of intensity, time, pulse duration and Frequency through the Arduino platform, this HARDWARE is based on simple analog and digital boards that allow reading input and output data on the device. This prototype emits a symmetrical biphasic current of rectangular pulses and although there is a great variety of currents within the Neuromuscular Electrostimulation (EENM) focused on improving and maximizing the activation of a muscle, generally the symmetric biphasic pulses are better tolerated to the passage of a current through subcutaneous tissue, with greater effectiveness in depolarization of thick fibers of intact nerves. Contribution: To offer alternatives for the management of digital devices in electrotherapy.

Objective: To identify the prevalence of Burnout syndrome in physical therapy students of the Universidad Tecnológica del Suroeste Guanajuato (UTSOE) during the period of confinement by Covid-19. Methodology: Descriptive cross-sectional study in the 355 Physical Therapy students at the University. The questionnaire included 15 items divided into three sections: emotional exhaustion, depersonalization, and personal fulfillment, which together constitute a pre-established scale, which was adapted to the context of the study to measure the level of burnout that the students faced during the period of confinement for COVID-19. Data analysis: Through descriptive statistics, distribution of frequencies calculated using Software 2010 Excel was applied. Contribution: To establish an antecedent of the need for strategies to reduce the emotional ravages generated by the period of confinement by COVID-19 in students through the identification of the prevalence of Burnout in them.