A new support skeleton that is easy to wear, compact, lightweight and has high performance in paralysis agitans therapy is a need to support improved function in paralysis agitans therapy. The goal of this research is to analyze and evaluate the logic based on the integration of detailed design and compact upper limb skeleton system with hybrid interface (based on computation, adaptive control and simulation according to the MBD process and EMG kinematic analysis) to detect paralysis agitans, build a control algorithm and control paralysis agitans.
- Characterizing the dynamics of tremor pathology in Parkinson’s patients.
- Development of a tremor suppression controller based on a hybrid impedance control and tremor detection interface (based on EMG-IMU).
- Evaluation of the studied upper limb exoskeleton and hybrid controller in the treatment of paralysis agitans in PD patients
Product: Upper limb exoskeleton for Parkinson’s patients in preventing tremor with a compact and lightweight wearable device with rapid prototyping human-machine interface that reduces tremor symptoms without invasive intervention on the body of Parkinson’s patient, improving daily life and work activities with new highly competitive designs and technology solutions.
Main tasks of the project
- Data sets, detailed design drawings and pathological structural systems in Parkinson’s patients;
- Fabrication and detailed testing of components and structurally integrated controllers, wearable devices with automatic microcontrollers, clinical testing and comparison between Parkinson’s patients and normal people.
Project impact
Social Impact: The long-term goal of this multidisciplinary project is to design an innovative, non-invasive, reliable and effective exoskeleton system to prevent tremor movements and restore motor function in people with pathological paralysis agitans (eg, patients with Parkinson’s disease).
Data sharing: The research team will disseminate innovative methods, explore, develop control strategies to prevent paralysis agitans with guidelines and best practices to ensure that the device functionality developed in the project is of interest and use to researchers around the world. Data sharing is done through IEEE Data portal, Nature/Scientific magazine… The research team will introduce their research at international conferences, PI meetings, and magazine publications.
Workforce development: The research team will train and mentor undergraduate and graduate students and businesses throughout the course of this research project.
Course development: The research team will integrate the results obtained, both in engineering and the biomedical field, in course development at the undergraduate and graduate levels at the research team’s research facility.