Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Tuesday, August 27, 2019

Unobtrusive Sensing Solution for Post-stroke Rehabilitation

WHOM is going to put together a monitoring system for your doctors and therapists to see the efficacy of the work they do?

Unobtrusive Sensing Solution for Post-stroke Rehabilitation


  • Idongesit EkereteEmail author
  • Chris Nugent
  • Oonagh M. Giggins
  • James McLaughlin
  • Idongesit Ekerete
    • 1
    Email author
  • Chris Nugent
    • 1
  • Oonagh M. Giggins
    • 2
  • James McLaughlin
    • 3
  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
Chapter
Part of the Computer Communications and Networks book series (CCN)

Abstract

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.

Keywords

Rehabilitation Post-stroke Unobtrusive Wearable Radar Thermal Sensors 

Notes

Acknowledgements

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

References

  1. 1.
    Wilson CB (1999) Sensors in medicine 319:13–15Google Scholar
  2. 2.
    Dhiraj A, Deepa P (2012) Sensors and their applications. J Phys E: Sci Instrum 1(5):60–68Google Scholar

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