Unobtrusive Sensing Solution for Post-stroke Rehabilitation

Part of the Computer Communications and Networks book series (CCN)


This Chapter proposes an unobtrusive sensing solution for monitoring post-stroke rehabilitation exercises within a home environment. It begins with the definition of stroke, its types, statistics and effects. An overview of stroke rehabilitation techniques ranging from multiple exercising and isolated approaches to motor skill learning, mirror imagery, adjuvant therapies and technology-based interventions are all presented in this Chapter. In addition, the potential for the use of unobtrusive sensing solutions such as thermal, radar, optical and ultrasound sensing are considered with practical examples. The Seebeck, time of flight (ToF) and Doppler principles, which are associated with a number of the sensing solutions, are also explained. Furthermore, sensor data fusion (SDF) and its architectures such as centralized, distributed and hybrid architectures are explained. A few examples of SDF applications in automobile and terrestrial light detection are included in addition to the advantages and disadvantages of the approaches. Unobtrusive sensing solutions and their applications in healthcare are captured in this Chapter. The Chapter includes details of initial experimental results on post-stroke rehabilitation exercises which were obtained using thermal and radar sensing solutions. The Chapter concludes with an outline of recommendations for future research.


Rehabilitation Post-stroke Unobtrusive Wearable Radar Thermal Sensors 



This project is supported by the European Union’s INTERREG VA Programme, managed by the Special EU Programmes Body (SEUPB).


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Computing, Ulster UniversityNewtownabbeyNorthern Ireland, UK
  2. 2.Dundalk Institute of Technology, NetwellCASALADundalkRepublic of Ireland
  3. 3.NIBEC, Ulster UniversityNewtownabbeyNorthern Ireland, UK

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