IEEE Technology and Society Magazine - June 2017 - 36

LEADING EDGE

Sunil Jacob

M

Digital Object Identifier 10.1109/MTS.2017.2696604
Date of publication: 8 June 2017

36

A Review of
Technology Advances
for Assisting
Paralyzed People
does some operation,
the MMIP generates
electrical stimulation
and in response to the
stimulus the controlled
per son mimics the
operation. A pair of
EMG electrodes has to
be placed on specific
locations. The MMIP
records the EMG signals from the controlled
person, processes it
and classifies it into
different operations.
The recorded operation is compared with
the actual operations.
The performance accuracy is determined as
the number of correct
classifications divided
by number of physical
operations. The phases are compared and tested for the
accuracy. If the result is not satisfactory a bio-feedback is given and
credit: courtesy of reWalk robotics ltd.

any stroke survivors
retain some degree
of paralysis and thus
have limited use of
their body. According
to published surveys, the chances
of paralysis by stroke is 1 in 25.
Such people have limited freedom
in terms of movable body parts so
they cannot do daily chores without
a physical assistance. Thus, an interface that can improve their living
condition is necessary.
Several devices were proposed
recently such as a device called Rewalk (demonstrated in Dallas) and
a leg-rehabilitation device created
by Timothy J Becker and Matthew
Duplin. Also, an invasive technique
in which a stent-based electrode
called stentrode is implanted in the
blood vessel was proposed. This
technique gives patients mobility by
just the power of thoughts. However,
all these methods have a common
drawback in that they require the
paralyzed person to wear an exoskeleton which is a cumbersome.
We propose a noninvasive model
called the Muscle to Machine Interface for Paralyzed person (MMIP)
that does not require an exoskeleton for motion. Muscle electrodes
that excite the muscle nerves are
used. This system has the provision for preprocessing, classifying,
recording, and training multidimensional EMG signals. The controlled person (paralyzed person) is

interfaced with the movable part of
the controlling person through the
MMIP. When the controlling p er s o n
IEEE Technology and Society Magazine

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JUNE 2017



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