Project Details
Description
A competitively awarded research initiative funded under the Marie Skłodowska-Curie Actions (MSCA) COFUND scheme. The project focuses on developing a specialized wearable biomedical interface designed to mitigate gait instability and Freezing of Gait (FoG) events in Parkinson's disease through smart sensing and real-time physical actuation
Key findings
Directed the end-to-end research strategy and intellectual property (IP) planning for a functional, market-ready assistive device. The system applies real-time closed-loop electrical stimulation to stabilize gait architecture, successfully driving lab-validated engineering concepts into a deployable medical system tailored for high-need patient populations.
Layman's description
This project focuses on building a smart, wearable medical device to help individuals suffering from Parkinson's disease manage walking difficulties and avoid dangerous "freezing" episodes. By tracking walking patterns in real-time, the device delivers gentle electrical impulses that act as a rhythmic cue to guide steady movement, preventing falls and boosting independent mobility.
| Short title | FogCueEs Wearable Gait Guidance |
|---|---|
| Acronym | FogCueEs |
| Status | Finished |
| Effective start/end date | 01/06/2017 → 30/06/2019 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Keywords
- Parkinson's Disease, Gait Guidance, Wearable Medical Hardware, Real-Time Actuation, Freezing of Gait (FoG), Closed-Loop Systems
Projects
- 4 Finished
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SmartRehab: SmartRehab: Design and development of brain-controlled smart and portable electrical stimulation-based rehabilitation system for upper limb stroke recovery
Ghayvat, H. (Co-supervisor) & Ahmed Khan, M. (Supervisor)
01/01/2024 → 31/12/2025
Project: Research
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EU HORIZON PI (Grant 101065536): Contactless Framework: AI-Driven Predictive Diagnostics model and implementation of novel contactless sensing infrastructure for real-time cardiovascular forecasting
Ghayvat, H. (Project participant) & Pandya, S. (Project participant)
01/06/2022 → 30/06/2024
Project: Research
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SAAD: Smart Aging Anomaly Detection (SAAD) ( MSCA H2020)
Ghayvat, H. (Supervisor) & Andersen, H. B. (Project participant)
01/10/2018 → 31/10/2020
Project: Research
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Shanghai Municipal Major Project: The Elderly Health Care System
Ghayvat, H. (Supervisor)
01/12/2012 → 31/12/2019
Project: Research