Stroke is a complex condition with wide ranging sequelae where multiple areas of a person’s life may be affected, and the ability to participate in everyday activities may become challenging. In understanding the clinical picture of stroke, it is important to have precise and accurate assessment of their impairments, functional activities, community participation and quality of life. Accurate and objective assessments are essential for precise interventions to be carried out.
In the stroke program, we aim to create a database of precise assessments and understand the multifactorial nature and impact of stroke. The use of high and low fidelity technologies enables the objective capture of impairments and function in high granularity. This program also aims to develop machine learning models that could determine recommended specifics for each treatment modality based on the stroke ability model constructed from precise assessments. This will enable precise predictions on the trajectory of stroke recovery, and its impact on the quality of life of the individual with stroke.
- Ability Data-Driven Personalized Stroke Rehabilitation using Multimodal Electroencephalography (EEG) and Near-Infrared Spectroscopy (NIRS)-based Brain-Computer Interface (BCI) with Soft Robotic Glove
- Act. Sense - Active Sensorimotor Training for Chronic Stroke Survivors
- SPASM (Soft Pressure Sensor Actuator Strain Measuring device) for Precise Measurement of Spasticity
- The Healthcare Worker’s Journey of Care And Recovery: A Qualitative Study on The Lived Experience of Supporting Stroke Patients in Singapore’s Rehabilitation Unit
- The Quality of Life, Lived Experiences and Unmet Needs after Stroke
- Upper Limb Recovery in Asian Stroke Survivors: Precise Assessment of Sensori-Motor Recovery and Quality of Life