The spinal column requires special care through exercises focused on muscle strengthening, flexibility, and mobility to minimize the risk of developing musculoskeletal disorders that may affect the quality of life. Guidelines for spinal column exercises are commonly presented through printed and multimedia guides accompanied with demonstrations performed by a physiotherapist, occupational health expert, or physical fitness trainer. However, existing guides lack interaction and oral explanations may not always be clear to the user, leading to decreased engagement and motivation to start, continue, or complete an exercise program. In this article, we present two interactive and engaging posture-tracking user interfaces intended to promote proper spinal column exercise form. One user interface employs a wooden manikin with an integrated inertial measurement unit to provide a tangible user interaction. The other user interface presents a mobile application that provides instructions and explanations about the exercises. Both user interfaces allow recording key postures during the exercise for reference and feedback. We compared the usability of the interfaces through a series of flexion and extension exercises, monitored with an inertial measuring unit worn around the torso, and a Microsoft Kinect V2 vision-based sensor. Although no significant differences between the manikin user interface and the mobile application were found in terms of usability, the inertial measurement unit provided more accurate and reliable data in comparison to the Microsoft Kinect V2 as a result of body occlusions in front of the sensor caused during the torso flexion. Although both user interfaces provide different experiences and performed well, we believe that a combination of both will improve user engagement and motivation, while providing a more accurate motion profile.

Este artículo presenta el desarrollo de BioMePro, una herramienta de software para el Procesamiento de Muestras de Electromiografía (EMG) superficial, implementado en JAVA, un lenguaje multiplataforma, orientado a objetos y de código interpretado, lenguaje escogido para facilitar la portabilidad del software en mención. BioMePro facilita el trabajo de extracción de características de señales EMG superficiales, útiles para sistemas de inferencia como redes neuronales o máquinas de soporte vectorial, a partir de una interfaz clara y fácil de usar con un conjunto variado de opciones que permiten seleccionar el mejor procesamiento que se requiera para una aplicación específica. Como sistema de adquisición de los datos se utilizó el equipo BiosignalPlux®, las señales de EMG de prueba del software fueron capturadas por medio de la implementación de un protocolo de registro de movimientos de pronación en antebrazo derecho en pacientes jóvenes sanos, protocolo elegido por su simplicidad de implementación y fiabilidad en las muestras.

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