Z. Sawacha
Papers
4
Total Citations
60
H-Index
3
About
Z. Sawacha is a leading researcher at the intersection of rehabilitation robotics, biomechanics, and neural engineering, with a primary focus on restoring mobility in individuals with Parkinson’s disease (PD) and other movement disorders. Her most influential work, a 2010 study with 38 citations, pioneered the use of Support Vector Machine (SVM) classifiers to decode locomotion modes from surface electromyography (sEMG) signals, laying the groundwork for intuitive human-robot interfaces that anticipate user intent. This foundational contribution to rehabilitation robotics has been extended through her investigation of Gaussian Mixture Models (GMM) for real-time joint angle estimation from EMG, enabling smoother, more responsive exoskeleton control. In a landmark 2022 randomized clinical trial, Sawacha quantitatively demonstrated that training with the EksoGT® exoskeleton significantly improves gait parameters in PD patients, offering objective evidence for robot-assisted neurorehabilitation. Her work also explores proprioceptive focal stimulation using the Equistasi® device to enhance postural control in PD. With a career spanning machine learning, signal processing, and clinical validation, Sawacha’s research directly translates computational methods into practical tools that restore walking function and improve quality of life for patients with neurological impairments.
Research Focus
Key Achievements
Top Papers
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