Abstract
For FES control of incompletely paralyzed lower extremities, various
rule-based methods have been proposed.
However, the necessity for
adequate reliability of sensors and walking phase detection
have made such systems difficult to be widely used
clinically. In this report, a simple
"local EMG-driven FES" system
is proposed and shown to be effective in knee extension
FES for incomplete paralyses. In this scheme, e.g., knee
extensor is electrically stimulated according to the magnitude
of measured voluntary EMG from the same muscle, which
is partially paralysed. Apparently this
scheme is applicable only
to incomplete paralyses, however, the number of corresponding
patients is not small and the method is applicable not
only to walking, but also to other daily activities such
as transfer from bed to wheelchair or standing-up,
without any control-mode selection for each consecutive
activity to aid, because those EMG reflect the neural
commands from the brain.
1.
INTRODUCTION
For
the incomplete paralyses of lower extremities, rule-based FES control which is based
on gait phase detection with foot switches and/or acceleration sensors have been proposed and examined[1-5]. In those method, however, there seems to be a problem that the resulted
gait improvement is not so satisfactory for the patients when compared to the expense of time and difficulty in
setting-up sensors and stimulator accurately. Additionally, those
control algorithms should include bothering mode-switching.
Therefore, simpler, but still effective FES control method is
needed to be developed for some kinds of paralyzed patients.
In this report, a very simple "local EMG-driven
FES" is
proposed and shown to be
effective in knee extension FES for incomplete hemiplegics by stroke. In this scheme, e.g.,
knee extensor is electrically stimulated according to the
magnitude
of measured voluntary EMG of
the same muscle. Resulted voluntary muscle force is expected to be reinforced
naturally
and if it is applied to a
muscle of which the maximum tension is
not sufficient, this FES can be expected to aid the patient's daily activities such as crutch-walking, transfer from bed to wheelchair, or standing-up, without any
bothering
mode selection. This method is a kind of EMG-driven FES[6-8] and
the idea itself is trivial, however, successful clinical application has not been reported, although the circuit
design has been reported for the case in which the EMG detection
and electrical stimulation share a same pair of
electrodes[9]. In the method shown below, two independent pairs of electrodes were used for EMG detection and FES,
to make it easier to
suppress the artifact from
surface stimulation to voluntary EMG detection.
2. METHODS
2.1. Basic design
of the controller
To realize the surface FES and EMG
detection to/from a same muscle, control system shown
in Figure 1 was designed and examined. The system includes EMG electrodes, gating (protection)
circuit, EMG amplifier, note PC with AD/DA card, surface
stimulator and stimulating electrodes.
The timing chart of the control is shown in Figure 2. Each amplitude of repetitive (20Hz)
electrical stimulation of 500 micro seconds width was
modulated by the power of voluntary EMG in each preceding
period. Each stimulation pulse was
paired by opposite polarity pulse so as to reduce the harmful
transient effect onto EMG detection and also to reduce the
long term electro-chemical change in electrodes. The EMG power of each segment was
calculated from the samples for 20ms after subtracting the
offset level. Thus the resulted
value corresponded to a "short-term standard
deviation" of the EMG. A saturated threshold function was used for
translating voluntary EMG power into FES
amplitude. Sampling frequency of 1kHz was used for
the RT-Linux PC as a controller.


2.2.
Design to reduce artifacts
To protect the input stage of EMG amplifier from the damage by surface
FES pulses, and to reduce the transient
artifact, a gating circuit shown in Figure 3 was designed and
examined. Due to the
nonlinearity of silicon rectifiers, succeeding CMOS analog switches
and amplifier can be protected from breakage. We
also examined the effect of M- and H-waves.
As a result of preliminary test for normal
subject, it was confirmed that the time window
design in Figure 2 was sufficient for use in lower extremity muscles
(Significant H-wave could not be observed in knee extensor
stimulation).
2.3.
Electrode arrangement
As the magnitude of artifacts from FES pulses to EMG measurement depends on the arrangement
of each electrode pairs, we examined and compared several electrode
arrangements experimentally. As as
result, it was shown that in any arrangement including the case in which the
EMG electrodes were sandwiched between FES
electrodes, voluntary EMG could be clearly detected in the presence of adequate
stimuli. Therefore, we adopted the arrangement to maximize the amplitude of
voluntary EMG, by putting the electrodes in the direction of EMG propagation in
muscle fibers.
2.4 Preliminary clinical tests
Three male subjects of 61 to 87 years old with hemiplegia by stroke
participated in preliminary clinical evaluation of the system. Their voluntary knee extension forces were
not sufficient to walk without crutch, and the speed of crutch-walking was very
low. The subjects were applied the local
EMG-driven FES described above to their
quadriceps to improve the stability, speed and stride of their
crutch-walking. The size of the surface FES electrode was 7cm x 9cm. EMG signal was measured at vastus medialis or
rectus femoris, depending on the amplitude of voluntary EMG. Ankle foot orthoses were used for the
paralyzed side.
3. RESULTS
For the two of
three subjects, we could confirm that the walking stability
was improved by local EMG-driven FES, and the
subjective evaluation by patients were something like "this is
helpful". For one other subject,
noticeable improvement was not observed, and later it was
confirmed that the noise from AC power line heavily affected EMG
measurement because there happened attachment failure between
EMG electrode and skin.
One of the
results is shown Figures 5 and 6, from which we can confirm that the
electrical stimulation was appropriately controlled by the
sampled voluntary EMG signal. From the comparison
of Figures 5 and 6, it can be also confirmed that the walking symmetry
of the paralyzed and healthy side lower extremities was
improved to some extent.
4. DISCUSSION AND CONCLUSIONS
A simple and easy-to-use
local EMG-driven FES system was developed
and examined. Although the clinical
tests were subjective and limited for a small number of
patients, the basic effectiveness of the idea was confirmed for
the hemiplegic patients' crutch-walking.


With
further development, we believe that a method to treat the EMG electrode
failure could be found and controller could be implemented as
battery-operated portable box. Using
those controllers, quantitative evaluation of long-term
effect of this control method should be carried out for
various types of paralyses and objective motions in the near future. Application for completely implanted FES device should also be done.
References

[1] Kostov A, Andrews B J, Popovic D B, Stein R B, Armstrong W W:
"Machine learning in control of functional electrical stimulation
systems for locomotion", IEEE Trans. Biomed. Eng., 42/6, 541-551 (1995)
[2]
Heller B W, Granat M H, Andrews B J: "Swing-through gait with free-knees
produced by surface functional electrical stimulation", Paraplegia, 34/1,
8-15 (1996)
[3]
Williamson R, Andrews B J: "Gait event detection for FES
using accelerometers and supervised machine learning", IEEE Trans. Rehab. Eng. 8/3,
312-319 (2000)
[4]
Fisekovic N, Popovic D B: "New controller for functional electrical
stimulation systems", Med. Eng. Phys. 23/6, 391-399 (2001)
[5]
Perkins T A, de N Donaldson N, Hatcher N A, Swain I D, Wood D E: "Control
of leg-powered paraplegic cycling using stimulation of the lumbo-sacral
anterior spinal nerve roots", IEEE Trans. Neural Syst. Rehab. Eng., 10/3,
158-164. (2002)
[6]
Saxena S, Nikolic S, Popovic D: "An EMG-controlled grasping system for
tetraplegics", J. Rehab. Res. Dev. 32/1, 17-24 (1995)
[7] Frigo
C, Ferrarin M, Frasson W, Pavan E, Thorsen R: "EMG signals detection and
processing for on-line control of functional electrical stimulation", J.
Electromyogr. Kinesiol. 10/5, 351-360 (2000)
[8]
Giuffrida J P, Crago P E: "Reciprocal EMG control of elbow extension by FES", IEEE Trans. Neural Syst. Rehab. Eng. 9/4,
338-345 (2001)
[9]
Muraoka Y: "Development of an EMG recording device from stimulation
electrodes for functional electrical stimulation", Front. Med. Biol. Eng.
11/4, 323-333 (2002)