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Neurorehabilitation and Neural Repair|December 31, 2025
Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor PerformanceYunda Liu, Gloria Vergara-Diaz, Benito Lorenzo Pugliese, et al.
Physical Medicine and Rehabilitation Clinics of North America|September 30, 2019
Rehabilitation in AfricaSisay Gizaw Geberemichael, Abena Yeboaa Tannor, Tesfaye Berhe Asegahegn, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor PerformanceYunda Liu, Gloria Vergara-Diaz, Benito Lorenzo Pugliese, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 21, 2025
Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation StrategiesYunda Liu, Benito Lorenzo Pugliese, Gloria Vergara-Diaz, et al.
Integrative Cancer Therapies|February 4, 2020
Qigong Mind-Body Exercise as a Biopsychosocial Therapy for Persistent Post-Surgical Pain in Breast Cancer: A Pilot StudyKamila Osypiuk, Jennifer Ligibel, Anita Giobbie-Hurder, et al.
Revista Medica De Chile|February 14, 2014
[Acute promyelocytic leukemia: results of the Chilean protocol LPA2000]María Soledad Undurraga, Bárbara Puga, María Elena Cabrera, et al.
Neurorehabilitation and Neural Repair|August 7, 2024
Wearable-Based Kinematic Analysis of Upper-Limb Movements During Daily Activities Could Provide Insights into Stroke Survivors' Motor AbilitySunghoon Ivan Lee, Yunda Liu, Gloria Vergara-Díaz, et al.
NPJ Digital Medicine|October 7, 2020
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recoveryCatherine Adans-Dester, Nicolas Hankov, Anne O'Brien, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessmentBjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, et al.
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