Búsqueda avanzada

VICTORIA ELIZABETH ABARCA PINO

VICTORIA ELIZABETH ABARCA PINO

VICTORIA ELIZABETH ABARCA PINO

Doctora en Ingeniería, PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU

Ver todos los grados

Magistra en Ingeniería Mecánica (PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU)

Ingeniera Mecánica
DOCENTE CONTRATADO - CONTRATADO
Tiempo parcial por asignaturas (TPA)
Departamento Académico de Ingeniería - Sección Bioingeniería

Publicaciones

Se encontraron 45 publicaciones

GARCIA, J. G.; Luque, E. F.; ROMERO, E. F.; PARRA, M.; SUAREZ, D. B.; ABARCA, V. E.; ELIAS, D. A.(2026). Assessment of artificial intelligence-based control algorithms to be implemented in an affordable transradial myoelectric prosthesis. Scientific Reports. Volumen: 16. (pp. 14382 - 14399). Recuperado de: https://www.nature.com/articles/s41598-026-43000-1
ABARCA, V. E.; CHAVEZ, J. G.; EULOGIO, L. F.; VIVIANO, C. M.; ELIAS, D. A.(2026). Multimodal biomechanical dataset from transtibial amputees and able-bodied adults across five locomotion tasks. Scientific Data. Volumen: 13. (pp. 1 - 12). Recuperado de: https://doi.org/10.1038/s41597-025-06472-w
MUNIVE, L. C.; ABARCA, V. E.; ELIAS, D. A.(2026). Modular Glove for Quantification of Bradykinesia and Tremor in Parkinson's Disease. En 5th Latin American Congress on Automation and Robotics. (pp. 77 - 86). CHAM. Springer. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-032-18982-0_8
TOQUE, E. S.; GUTIERREZ, C. G.; ABARCA, V. E.; VILA, S. A.; SILVA, R. M.; ELIAS, D. A.(2026). IoMT and explainable AI-enabled wearable system for classifying tremor and motor patterns in Parkinsons disease. Results in Engineering. Volumen: 29. (pp. 1 - 16). Recuperado de: https://www.sciencedirect.com/science/article/pii/S2590123026006481
CESPEDES, A. V.; RAMIREZ, D. A.; ABARCA, V. E.; ELIAS, D. A.(2026). Human-Robot Interaction Through EMG and KNN-Based Gesture Classification. En 5th Latin American Congress on Automation and Robotics,. (pp. 55 - 64). CHAM. Springer Nature. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-032-18982-0_6
ACUÑA, I. A.; SUAREZ, J. C.; ABARCA, V. E.; ELIAS, D. A.(2026). Design of a Low-Cost Test Bench for Surface EMG Signal Reproduction Using a Raspberry Pi Platform. En International Conference on e-Health and Bioengineering EHB 2025. (pp. 170 - 177). CHAM. Springer. Recuperado de: https://springerlink.pucp.elogim.com/chapter/10.1007/978-3-032-24724-7_18
LAGONES, M. A. R.; ABARCA, V. E.; ELIAS, D. A.(2025). Test Protocol to Assess the Adaptability of a Prosthetic Foot on Irregular Surfaces. En 2nd IEEE International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025. (pp. 1 - 7). SHIVAMOGGA. IEEE. Recuperado de: https://ieeexplore.ieee.org/document/11081280
SANTAMARIA, L. D.; NARVAEZ, G. A.; SILVA, R. M.; SEGURA, A. S.; FLORES, J. G.; ABARCA, V. E.(2025). Comparative Kinematic Analysis of Normal Gait and Four Variants of Crouch Gait Using the 3DGaitModel2392 in OpenSim. En 11th International Conference on Communication and Signal Processing, ICCSP 2025. (pp. 1 - 6). MELMARUVATHUR. IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/11089414