Monday 10 January 2022

A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients




Chapter title
A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients
Authors
Manna, S.Azhar, H. and Sakel, M.
Editors
Bhaumik, S., Chattopadhyay, S., Chattopadhyay, T. and Bhattacharya, S.
Abstract

The COVID 19 pandemic adversely challenged the healthcare system in an unprecedented way. Access to neuro-rehabilitation programmes for patients with stroke and other neurological disability was severely restricted including shutting down of most community based and outpatient facilities. There is hardly any organised virtual programme of exploring any potential of stretching and exercising of muscles needed in a rehabilitation programme. There is an impetus to innovate service developments whilst the risks and fear of contracting the Coronvirus remain prevalent. We propose a framework for developing a novel tele-neurorehabilitation system that will guide the patients to perform therapeutic exercises, as proposed by the clinicians, remotely. The system will allow patients to directly interact with doctors through a secure audio-video online portal. Wearable motion tracking sensors will be integrated within a hardware-based home setting for gathering performance data live from patients while they are performing exercises. The paper describes the design components of the framework justifying the tools, hardware, and protocols required to implement a secure online portal for tele-neurorehabilitation. Specifications of the core architectural layers have been reported. Some preliminary work demonstrates how the framework specifies capturing and analysing of physiological data using wearable sensors,
as well as displaying of gait parameters on a software dashboard.

Keywords
Tele-neurorehabilitation
Stroke
Joint parameters
IoMT
Year
2022
Book title
Proceedings of International Conference on Industrial Instrumentation and Control ICI2C 2021
Publisher
Output status
Place of publication
Singapore
Series
Lecture Notes in Electrical Engineering
Number of pages
xx, 480
ISBN
978-981-16-7010-7
Publication dates
 
Print
2022
Publication process dates
 
Deposited
29 Sep 2021
Digital Object Identifier (DOI)
References

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