Dataset containing the experimental results obtained during the mobile seismocardiography evaluation for cognitive load analysis. The file includes processed BPM measurements acquired using the smartphone accelerometer through MATLAB Mobile under two physiological conditions: relaxed state and active cognitive task performance. Signals were filtered and analyzed in MATLAB using Butterworth band-pass filtering and peak detection algorithms to estimate heart rate variations associated with attention and cognitive engagement. The dataset supports the findings presented in the project “Evaluación de la Concentración mediante Sismocardiografía Móvil”, developed at Universidad de las Américas Puebla (UDLAP). The results demonstrate measurable physiological differences between relaxed and cognitively active states, supporting the feasibility of using smartphone-based seismocardiography as a low-cost educational monitoring tool.