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VICTORIA ELIZABETH ABARCA PINO

VICTORIA ELIZABETH ABARCA PINO

VICTORIA ELIZABETH ABARCA PINO

Doctora en Ingeniería, PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU

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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 43 publicaciones

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
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
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
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
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
ARMOA, G. J.; ABARCA, V. E.; ELIAS, D. A.(2025). Smartphone-Based System for Quantifying Tremor and Freezing of Gait in Parkinson's Disease. En 10th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). (pp. 135 - 141). IEEE. Recuperado de: https://doi.org/10.1109/ICIIBMS66230.2025.11316764
CESPEDES, A. V.; RAMIREZ, D. A.; ABARCA, V. E.; ELIAS, D. A.(2025). Real-Time EMG Classification for Bipedal Robot Control: A Hands-On Educational Platform. En XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON). (pp. 1 - 7). IEEE. Recuperado de: https://doi.org/10.1109/INTERCON67304.2025.11244692
SILVA, R. M.; VILA, S. A.; TOQUE, E. S.; GUTIERREZ, C. G.; TORRES, S. A.; ELIAS, D. A.; ABARCA, V. E.(2025). Parkinsons Hand Tremor Simulator with a Double Crank-Crank Mechanism to Measure the Essential Frequency. En X Latin American Congress on Biomedical Engineering. (pp. 55 - 64). CHAM. Springer Nature. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-031-89510-4_5