A Soft and Smart Telehealth System: Hand Rehabilitation Device for Grasping Force Assessment of Post Stroke Patients

This study introduces a sensorised device designed to address current shortcomings of post-stroke patient rehabilitation assessment. The device interfaces with a platform allowing therapists to visually analyse real-time data and retrieve it for an in-depth analysis. The study details the development and characterisation of Pneumatic Sensing Chambers (PSCs) using Finite Element Analysis (FEA) and mechanical testing. After selection and integration, the sensors were incorporated into a compact, portable object with communication established via multiplexers and an Arduino Nano. The system was connected to a laptop using LabView for user interface. It allows concurrent measurement of finger forces during grasping movements for both hands, with real-time visualization and data retrieval support. The device offers a cost-effective, precise, and adaptable solution, with potential for further enhancements in precision, durability, and applicability in stroke rehabilitation scenarios. This tool has the capacity to significantly enhance rehabilitation strategies and aid in the recovery process.