معرفی
Encarna Micó-Amigo is an Assistant Professor in Biomedical Engineering at Heriot-Watt University (HWU) within the School of Engineering & Physical Sciences and the Institute of Mechanical, Process & Energy Engineering. She holds a prestigious £30,000 startup research grant and supervises two PhD students (with a third in progress). Her research focuses on developing signal-processing algorithms for wearable technology to study neurological conditions, particularly Parkinson’s disease, leveraging her background in an industrial PhD (Marie Curie FP7) and postdoctoral work in the €50M Mobilise-D project.
Her expertise aligns with UN Sustainable Development Goals, particularly in advancing health and well-being through technology. Key research themes include algorithm validation for digital biomarkers, gait analysis, and sensor-based mobility assessment. Recent work emphasizes wearable devices for monitoring diseases like Parkinson’s, COPD, and stroke.
Research trends in her articles highlight validation challenges, wearable device optimization, and clinical application of algorithms. Notable contributions include studies on circular walking as a Parkinson’s biomarker, wrist-worn sensor validation, and multi-cohort mobility assessments. She actively collaborates internationally through projects like Mobilise-D, addressing global mobility research needs.
No scientific awards are explicitly mentioned, but her work is cited across interdisciplinary fields. Advising involves guiding students in algorithm development and biomarker validation, supported by external funding opportunities. Her lab focuses on translating digital mobility outcomes into clinical tools, with future directions in sensor integration and disease progression tracking.