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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 47 publicaciones

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
OSHIRO, B. G.; LAZARES, B. J.; CASANOVA, M. C.; ABARCA, V. E.; ELIAS, D. A.(2026). Design, Optimization, and Experimental Validation of a 3-DOF Parallel Robotic Ankle Based on a 2SPU-1RU Architecture. En 12th International Conference on Control, Decision and Information Technologies, CoDIT 2026. (pp. 3064 - 3069). BARI. Institute of Electrical and Electronics Engineers Inc.(IEEE). Recuperado de: https://ieeexplore.ieee.org/document/11304482
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
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
CUTI, E. A.; ABARCA, V. E.; ELIAS, D. A.(2026). Portable Device for Angular Measurement and Muscle Activation of the Knee in the Sagittal Plane. En 12th International Conference on Control, Decision and Information Technologies, CoDIT 2026. (pp. 3070 - 3075). BARI. Institute of Electrical and Electronics Engineers Inc.(IEEE). Recuperado de: https://ieeexplore.ieee.org/document/11304482
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