I have been almost continuously passively flexing and unflexing my spastic left hand, by now at least a million times; no results. Why would this be better?
A Futuristic Approach for Stroke RehabilitationUsing Smart Gloves
T Aghil 1,*, S Rahul 1
, S Buvan Kumaar 1
, Yati Vijay 1
, S Tharun Kumar 1
,
Sidhharth B 1
1 Department of Electronics and Computer Engineering, Vellore Institute of
Technology, Chennai, Tamil Nādu, India
*aghilthamizh@gmail.com
Abstract. Stroke is a serious, common, and assured as a global health issue across the
globe. Stroke is one of most common cause of death and is a leading cause of impairment
in adults. Despite all impressive progression and development in the treatment of stroke,
without effective modes of care most stroke patients care will continue to rely on
physiotherapy involvement. The purpose of this paper is to explain about a new and better
device which helps patients affected by stroke who are not able to move their hands. To
rehabilitate stroke survivors, the proposed prototype is designed such that it is a portable
smart glove which helps users to regain their muscle memory by continuously contracting
and releasing their muscles without the involvement of physiotherapist. This device/glove
also consists of sensors that collect and send data to UI using ESP32. This UI is available
for the doctors to see the statistics of glove usage and monitors the patient’s conditions. The
Glove uses a soft robotics approach to replicate the human hand. The Glove initially aims
to contract and release all the muscles in the hand in regular intervals of time. This muscle
movement aims to build lost muscle memory.
1. Introduction
This paper’s objective is to create a therapeutic glove that helps stroke survivors to undergo
rehabilitation from their home. This result in a higher rate of recovery compared to other traditional
methods and reduces the rehabilitation expenses. It can be said that one of the gravest and assured as a
global health issue across the globe. Also, post stroke the survivors have to undergo rehabilitation to
completely recover(only 10% fully recover, failure by any measurement.). It has also been proven that rehabilitation can be supported in well integrated
multidisciplinary stroke-units(Really? 10% full recovery is considered a success?). When it comes to motor recovery of the arm, some of the potentially
beneficial options include robotics and constraint-induced movement therapy [1]. Transfer function
may also be improved by repetitive-task training. Undergoing occupational therapy will result in
considerable improvement in the activities of daily living. Various trials of rehabilitation practices and
of new therapies like repetitive trans-cranial magnetic stimulation, stem-cell therapy, robotic-therapies
etc., are developed in the near future [2]. Stroke-recovery is miscellaneous. By the extent of
subsequent recovery and the size and position of the first stroke attack the long-term effect of stroke
can be determined. Recovery is a complex procedure that likely happens through a collection of impulsive processes, including compensation, substitution, and restitution. After several cohort studies
it has come to light that, in the first few days after stroke improvement of functions in the body and
action is foreseeable [3,4]. The main goal of the stroke rehab gloves is to enhance and relearn the skills
which have degraded due to stroke. Stroke rehabilitation helps to regain the muscle memory and
improve the quality of life. Each person has different degree to recover during the process because
there are many complications in the severity of stroke. Also, researchers have found people becoming
better when one undergoes the process of rehabilitation comparing to people who didn’t [5]. Other
objectives of this paper are to create a more economic means for stroke survivors to undergo
rehabilitation, to prevent travelling and additional expenses, produce better results compared to
traditional methods in terms of rate of recovery and to reduce the time taken to recover. The objective
of this project is to create a compact, portable and a low-cost rehabilitation glove, thus ensuring a
higher rate of recovery compared to traditional methods. This eliminates the need to visit a
physiotherapist for every rehabilitation session, which in turn reduces the travelling expenses and have
a comfortable rehabilitation experience from their home. It is also a smart glove that automatically
reads the temperature and blood pressure of the user. This data will be available for users in the Blynk
app user-portal and for the doctors in the web UI created by the team. The literature review is done by
researching about topics pertaining to stroke rehabilitation. The below research materials are compiled
from various sources such as International Journal of Engineering and Technology, International
Conference, and stroke research material.
Table 1.1 shows the ideas and works of various people on stroke rehabilitation gloves.
Sl.
No.
Name of article Inference
1. Design and Development Approach
of Smart Glove for Post Stroke
Rehabilitation [4].
In this paper, the operation of Smart Glove function very well
as been programmed in Arduino. The device already perform
operation based on the sensitivity level programmed in
Arduino microcontroller. Key difference from this paper is
that the proposed gloves is portable and much cheaper than
this paper's glove and it is much simpler compared to the
paper's glove.
2. Smart hand gloves for disabled
people [16].
In this paper, the authors have introduced the Smart Hand
Gloves for Disabled people. It will provide reliable, efficient,
easy to use, and low-weight solutions for users as you
compare other proposed papers. This will commit to creating
purpose in the lives of people with disabilities. The paper
focuses on minimizing the problem. One the problem exists
to make it wireless.
3. Smart Glove: An Assistive Device
to Enhance Recovery of Hand
Function [11].
In this paper, smart Glove was successfully fabricated, and
the total cost of fabrication was $68.24 making it potentially
affordable for clinics and patients. Proper communication
was established between the data acquisition, data
conversion, data processing and display modules. Resistive
sensors mounted on the Smart glove were able to detect
finger and wrist extensions performed by both control
subjects and stroke patients while performing therapy. The
sensitivities for detecting wrist and finger extensions could be
adjusted independently depending on the amounts of
spasticity manifested in the wrist and fingers. Additional
Velcro straps were stitched on the glove to provide a snug fit to the users.
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