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ORIGINAL ARTICLE
Mechanical suppression of essential tremor
EDUARDO ROCON 1 , MARIO MANTO
2 , JOSE PONS
1 , STEPHANE CAMUT
2 &
JUAN MANUEL BELDA 3
1 IAI-CSIC, Madrid, Spain,
2 Service de Neurologie, Hôpital Erasme-ULB, Bruxelles, Belgium, and
3 Institute of
Biomechanics (IBV), Valencia, Spain
Abstract This paper describes a new treatment for essential tremor. A wearable orthosis, which can be adapted to each configuration of each joint of the upper limb, is able to apply effective dynamic force between consecutive segments of the upper limb and change its biomechanical characteristics. The orthosis is controlled by a computer with a dedicated software application that distinguishes between real time tremor and voluntary movement. The wearable orthosis is able to detect position, rate and acceleration of rotation of the joint by means of a chip gyroscope. This technology was evaluated in six patients suffering from essential tremor. The technique is non invasive and represents an alternative to medication and deep brain stimulation.
Key words: Essential tremor, human, muscle, side effects, robotics, viscosity
Introduction
Essential tremor (ET) is defined by a bilateral
postural tremor involving the upper limbs (1). A
kinetic tremor, increasing in amplitude when the
limb approaches a target, is often observed, and a
head tremor may be associated. ET, a heterogeneous
disorder, is the most common movement disorder in
adults, with an estimated prevalence of 4% (2,3).
Possible non-motor manifestations of ET, such as
mood fluctuations or personality disorders, require
further neuropsychological work assuming that they
could share similar mechanisms with motor symp-
toms (4). Symptoms typically are progressive and
disabling. The link between ET and Parkinson’s
disease is often a matter of debate (2).
The mechanism of ET remains to be elucidated
(5). According to animal models of ET, an abnormal
olivo-cerebellar activity would result in enhanced
oscillatory activity in the cerebellum and its target
nuclei in the thalamic circuits. However, recordings
of neurons in human are not consistent with the
theory of continuous olivo-cerebellar driving of the
motor cortex via thalamic connections (5). ET might
be induced by networks enabling tremor-related
activity during voluntary movement and by
enhanced access of sensory feedback. Given the role
of the cerebellum in sensorimotor processing, a
pathological coupling between sensory inputs and
motor output may be considered (6,7). There is
evidence from behavioural studies and imaging
techniques that the cerebellar circuit is a plausible
site for the genesis of ET. The clinical similarities
between symptoms of ET and the symptoms in
classical cerebellar disorders is obvious (1,8,9).
Kinematic studies are highly suggestive of a genuine
cerebellar disorder, and magnetic resonance spectro-
scopy reveals decreased N-acetylaspartate/creatine
ratios (NAA/Cr) and N-acetylaspartate/choline
ratios NAA/Cho ratios in the cerebellum of ET
patients, indicating a possible degenerative phenom-
enon with neuronal dysfunction (10,11). An inverse
association between cerebellar cortical NAA/Cr
ratios and arm tremor severity has been observed.
The favourable effect of ethanol reported in ET
could be due to an effect on neuronal activity of
inferior olivary cells or an effect on alcohol-sensitive
GABA receptors within the cerebellum (10,12).
Ethanol administration decreases complex spikes
and increases simple spike activity generated in the
inferior olive.
Current treatments of ET include drugs (mainly
primidone and propranolol), and surgery (thalamot-
omy and deep brain stimulation) in patients refrac-
tory to medications, in which the response is
considered insufficient or only partial (3,13).
However, (a) ET is not managed effectively or
sufficiently in about 25% of patients, (b) the drugs
Correspondence: Eduardo Rocon, PhD, Instituto de Automática Industrial, Carreterra Campo Real, km 0.200, La Poveda – Arganda del Rey, 28500 Madrid,
Spain. E-mail: [email protected]
The Cerebellum. 2007; 6: 73–78
ISSN 1473-4222 print/ISSN 1473-4230 online # 2007 Taylor & Francis
DOI: 10.1080/14734220601103037
used often induce side effects or may be contra-
indicated, and (c) surgery is associated with a risk of
hemorrhage and psychiatric manifestations (14). In
particular, a high rate of suicide (4.3%) has been
observed recently in patients treated with deep brain
stimulation (15). Paradoxically though, patients
developing psychiatric symptoms often experience
significant motor improvement following a surgical
procedure (15). Therefore, further research and new
therapeutic options are required to manage ET more
effectively. It has been established in the literature
that essential tremor responds to biomechanical
loading. In particular, it has been clinically tested
that the increases of damping and/or inertia in the
upper limb leads to a reduction of the tremorous
motion, i.e., the change in impedance characteristics
of the upper limb has a direct effect on the tremor
characteristics (16,17). This phenomenon gives rise
to the possibility of an orthotic management of
tremor. Biomechanical loading for tremor reduction
can be approached either by ambulatory robotics
based orthotic devices or by non-ambulatory table or
wheelchair mounted devices. The former approach
is characterized by selective tremor suppression
through internal forces at particular joints, while
the later relies on global application of external
forces that leads to the overall tremor reduction.
While wearable tremor suppression exoskeletons are
already a matter of research, non-ambulatory sys-
tems have lead to commercial products, see, for
instance, the so-called Neater Eater (18). In addi-
tion, the MIT damped joystick (19), the controlled
Energy-Dissipation Orthosis, CEDO (20), or the
Modulated Energy Dissipation Arm, MED, [cited in
21], are implementations of non-ambulatory, wheel-
chair-mounted tremor suppression prototypes. As
far as wearable tremor suppression concepts are
concerned only the well-known wearable tremor-
suppression orthosis (21) has been reported in the
literature. This is a passive damping loading device,
which acts mechanically in parallel to the wrist in
flexion-extension. It completely constrains both
wrist abduction-adduction and prono-supination.
This paper discusses the effects of a new ther-
apeutic strategy based on biomechanical loading of
the tremor in six patients exhibiting a definite
essential tremor (1). Biomechanical loading of tremor
was achieved through a robotic wearable device called
WOTAS (Wearable Orthosis for Tremor Assessment
and Suppression), which acts in parallel to the
affected limb and is able to apply damping or inertial
load to a selected set of limb articulations.
Innovations of this technique are: (i) the orthosis
ability to apply forces between segments of the upper
limb, and (ii) the intelligent detection of tremor vs.
voluntary motion, in such a way that the orthosis
does not load the voluntary movement of the patient.
WOTAS will be briefly described in the following
section. This will be followed by the presentation of
the materials and methods used during the clinical
trials. Next, the results obtained are presented.
Finally, the discussion and the conclusions of this
study are given.
Description of the technique
The active orthosis (exoskeleton) WOTAS was
developed under the framework of the European
project DRIFTS (22). The concept of WOTAS is to
develop an active upper limb exoskeleton based on
robotic technologies capable of applying forces to
cancel tremor and retrieve kinematic information
from the tremorous upper limb. This active orthosis
is equipped with kinematics (angular position,
velocity and acceleration) and kinetic (interaction
force between limb and orthosis) sensors. The
WOTAS active orthosis has built-in gyroscopes
(ENC-03J manufactured by Murata Inc.) for tremor
measurement in each of the controlled joints.
Moreover, it could also apply dynamic force to the
articulations of the upper limb by means of a set of
flat brushless DC motors + pancake gears (23) selected to be a compact and light weight solution
suitable for a wearable device. The orthosis is
adaptable to each configuration of the joint between
different patients owing to the use of thermoplastics.
This robotic device spans the elbow and wrist joints,
being able to apply independent tremor suppression
strategies to elbow flexion-extension, wrist flexion-
extension and wrist pronation-supination, see
Figure 1. The total weight of the final system is
roughly 850 g. Innovations of the WOTAS exoske-
leton are the following: its portability, it is a non
invasive system, and provides direct information
from each joint of the upper limb, allowing the
estimation of the contribution of each joint to the
Figure 1. The active orthosis WOTAS placed on a patient.
74 E. Rocon et al.
overall tremorous motion in the kinematic chain of
the upper limb.
WOTAS’ control architecture is mainly composed
of three elements, namely, the exoskeleton structure
with its sensors and actuators; a microprocessor
which executes the real-time control algorithms of
the orthosis and a standard desktop PC that works as
a host computer and implements the interface with
the clinician. The active orthosis is controlled by a
computer with a dedicated software application that
implements an algorithm able to distinguish in real
time tremorous from voluntary movement and to
calculate the force applied by the active orthosis over
the upper limb in order to change its biomechanical
characteristics and, consequently, suppress tremor.
The algorithm developed for the WOTAS orthosis
is based on a two-stage method that estimates
voluntary and tremorous motion in real-time (23).
After a comparison between several tracking algo-
rithms (23), the Benedict-Bordner filter was selected
for the estimation of voluntary motion. The esti-
mated voluntary movement is removed from the
overall movement and the resulting movement is
supposed to be the tremorous movement. After this,
we use the Weighted-Frequency Fourier Linear
Combiner (WFLC) in order to estimate tremor
parameters. The WFLC is an adaptive algorithm
that estimates tremor using a sinusoidal model,
estimating its time-varying frequency, amplitude and
phase (17). The filtering on the first stage is
implemented in order to estimate and use filter
equations to distinguish tremorous from overall
motion with reduced phase lag, but without con-
sidering high frequency movements (such as tre-
mors). The second filtering stage estimates both the
amplitude and frequency of the tremorous move-
ment on the assuming that the remaining movement
from stage one is not voluntary. Experimental results
with 33 subjects presenting different tremor diseases
showed that the algorithm is capable of estimating in
real-time (roughly 1 ms of time delay introduced)
the voluntary and tremor components from the
overall movement.
Material and methods
Patients
All patients were right-handed (Mean age 72.3
years; Females: 3; Males: 3). ET was moderate in
patients 1, 3, and 4 and severe in patients 2, 5, and
6. Patients were still exhibiting a bilateral postural
tremor in upper limbs despite regular intake of
medication (mysoline, propranolol or a combination
of both at usual doses for ET). The protocol of the
experiments was informed to the patients before
the trials and signed-up an informed consent. The
investigation was approved by the ethical committee
of Hôpital Erasme-ULB, Bruxelles (ULB).
Protocol
Three different people were present during the
measurements:
(1) A computer operator for setting the parameters
of the system and recording the signals.
(2) A clinician for supervision of the condition of
the trials and the state of the patient.
(3) An experimenter to aid the patient don and doff
the orthoses and interact with them to perform
the trials.
The active orthosis WOTAS is able to operate in
two different modes: the suppression mode in which
the system is able to simulate different parameters
of viscosity and inertia to the joints of the upper
limb and the monitoring mode in which WOTAS
operates in free mode (no force is applied to the
upper limb) and monitors tremor parameters of
the patients. During the experiments neither the
patient nor the experimenters knew when the
system was applying a suppressing strategy or when
it was operating in monitoring mode. Only the
computer operator knew when the systems were
applying the suppression strategy. This experimen-
tal design was used to reduce the placebo effect in
the experimentation. All the experiments were
recorded on video.
Tasks
Three different tasks were selected: keep the upper
limbs outstretched, point to the nose with a finger,
and keep the arm in a rest position. These tasks have
been previously used to characterize tremor move-
ment (24). These tasks were selected:
(1) To have a representation of the different forms
of tremor (24).
(2) To cover tasks that can be meaningful from the
point of view of function. For this second issue,
a good correlation was found (25) between
these tasks and the functional scale for the
assessment of tremor severity (Tolosa and
Fahn’s scale) (33)
The experiments were balanced to avoid interactions
in the analysis, as well as learning effects (25). The
order in which the modes were applied was
alternated, as well as the order in which the patients
executed the tasks. In each experimental session, 3
repetitions of each task were realized. The number of
repetitions was chosen to have an experimental
session not longer than 1 h.
Data analysis
The data analysed were the output voltage coming
from the gyroscopes placed on the active orthosis.
An alternative to drugs and surgery to treat tremor 75
The figure of merit adopted to quantify the reduc-
tion achieved by the active orthosis is the ratio
between the signal analysed in monitoring mode
(Pmm), and the signal analysed in suppression mode
(Psm). Therefore, the reduction of tremor was
measured with the patients under the same condi-
tions: with the orthosis placed on the upper limb. As
a result, the reduction estimated is the remaining
tremor in suppression mode referred as a percentage
of the tremor with respect to the monitoring mode.
Results
The effects of adding effective viscosity were investi-
gated for the upper limb during the execution of the
different clinical tasks. During the trials, some patients
were able to identify when the system was operating in
suppression mode, relating to the clinician ‘now the
system is suppressing my tremor’, and ‘now it is not’.
Figure 2 illustrates the performance of WOTAS
when operating in suppression mode showing the
efficiency of the active orthosis increases as tremor
power increases. This shows a lower limit for
efficient tremor suppression, this limit is roughly
0.16 (rad/s) 2 /Hz. These lower limits for tremor
suppression should be determined by the physical
interaction between the orthosis and the upper limb.
This physical interaction is bidirectional: on the one
hand, the orthosis must transmit the loads to the
bones for tremor suppression. This transmission is
mediated by the soft tissues between the supports
and the actuator. Usually, the effect of load
transmission is negligible in common orthotics.
However, tremor has a pure dynamic component.
Therefore the characteristics of the transmissions
through the soft tissues play an important role in the
efficiency of tremor suppression. On the other hand,
the orthosis should be able to measure tremor
activity. This process is also affected by the
transmission of movements from the upper limb to
the orthosis since this transmission is also performed
through soft tissues. Both factors are more crucial
for lower amplitude tremors. These results indicate
that there is a physical limitation for tremor
suppression through wearable devices due to force
transmission through soft tissues.
According to the results, the range of tremor
suppression of the signals above this orthosis opera-
tional limit ranges from 2.9% (percentile 5) to 78.5%
(percentile 95) in relation to energy in the monitoring
mode. The results also indicated that the device could
achieve a consistent 40% of tremor power reduction.
Figure 3 illustrates the effects of WOTAS in the
tremorous movement when operating in suppression
mode. Figure 3 (upper traces) shows the time series
corresponding to the tremorous movement of the wrist
joint during the arm outstretched task of patient 2. The
top left part of the figure shows the time signal with
WOTAS in the monitoring mode. The top right part
illustrates the time series when the orthosis is operating
in suppression mode. Notice that the amplitude of
tremor is clearly lower than in the monitoring mode.
Figure 3 (bottom) shows the representation of the
Power Spectrum Density of the same time series
represented on the upper panels. The PSD was
obtained from the part of the signal with tremor. The
left part of the figure illustrates the PSD of the
tremorous movement with WOTAS operating in
monitoring mode. It is possible to see a clear peak of
tremor activity close to 6 Hz. In the right part of the
figure the peak of energy corresponding to the
tremorous activity when WOTAS is operating in
suppression mode presents a clear reduction. The
Figure 2. Tremor reduction achieved by WOTAS.
76 E. Rocon et al.
reduction of the power spectral density (PSD) was
80.4% in this patient. Results indicate that reductions
of tremor can be as high as 98% for severe cases of
tremor. In addition, the analysis of the video record
indicated that in the majority of patients there was no
displacement of tremor movement to proximal joints.
Nevertheless the authors believe that it is important to
investigate and define the profile of the users affected
by this new phenomenon.
There are suggestions that the mechanical suppres-
sion of tremor could produce a positive feedback to
essential tremor patients. Patients reported that when
they realized that the orthosis was suppressing tremor
they felt a reduction in the tremor itself and felt
more confident to accomplish the task. This beha-
viour has been detected in patients with severe tremor
and requires further research to be confirmed.
During the trials, patients reported that the orthosis
does not limit their range of motion. In addition, no
patient felt that the orthosis applied loads on their
voluntary movement. Patient tolerance was good. No
lesions were observed on their skin, except for a
moderate and transient change in skin aspect due to
the orthosis. Slight discomfort was reported by some
patients. These results suggest this new technique is a
possible therapy for tremor suppression in humans.
The patients considered that the use of such a
device could cause social exclusion. This was expected
since the exoskeleton was developed as a platform to
evaluate the concept of mechanical tremor suppres-
sion and not as a final orthotic solution.
Discussion and conclusions
This paper reports a new solution for tremor
suppression in humans using an active orthosis
simulating viscosity. The adaptive viscous control
method is non invasive. It may be effective in
patients who are insufficiently responsive (or have
adverse reactions) to drugs or in whom surgery is
counter-indicated. This technique avoids the poten-
tial side effects of drugs and the risks of surgical
procedure. Although deep brain stimulation has
provided remarkable benefits for people with a
variety of neurological conditions (26), alternative
solutions are of interest for refractory cases. From
the motor control point of view, deep brain stimula-
tion has also the disadvantage of impairing the
adaptative control of reaching (27). In ET patients
with electrodes placed in the cerebellar thalamus, the
larger the stimulation voltage the greater the reduc-
tion in rates of adaptation. In patients with unilateral
thalamotomy, the adaptation in the contralateral
arm is also impaired as compared to the ipsilateral
arm (27). Therefore, although both central neuro-
stimulation and lesions are very effective to manage
tremor, both techniques significantly impair the
capacity of the brain to form internal models of
action (27–31). Indeed, the adaptative control of
reaching depends on the integrity of the cerebel-
lothalamocortical pathway.
Oscillations occur frequently in biological systems
(32). Interactions with the environment induce
tremors in the human body. The mechanical
Figure 3. This figure illustrates the oscillations of the elbow and the associated power spectral density (PSD) of tremor with the motor in a
free mode (left panels) and providing viscosity of 0.2 Nms/rad (right panels) in patient 2. Note the strong reduction in the PSD when
viscosity is applied. The tremor is detected by a chip gyroscope fixed on a metallic bar. Oscillations are expressed in rad/sec and PSD is
expressed in (rad/s) 2 /Hz. The solution used to actuate the orthosis is a combination of a flat brushless DC motor and a pancake gear.
Brushless servo motors have electronic commutators, isolated from high bus voltages. As a result, higher speeds and torques can be
achieved. The motor is controlled in real time. Output voltage from the gyroscopes processed at 2000 Hz. Data filtering: Kernel smoothing
algorithm. Duration of acquisition: 30 sec.
An alternative to drugs and surgery to treat tremor 77
properties of the neuromuscular system and the
effects of reflexes explain the features of these
involuntary movements. Because muscles can be
compared to viscoelastic structures, they are involved
in damping, the dissipation of mechanical energy.
Potentially, reflexes can modulate the relative magni-
tudes of the viscous and elastic components of the
mechanical impedance provided by muscle (32). The
technique described here may be seen as an adaptive
device which cancels oscillations of tremor by
governing and re-directing the movement at the
effector level. The potential compensatory mechan-
isms which might occur in the central nervous system
in the mid- or long-term remain to be defined.
Acknowledgments
This work is part of the DRIFTS project
(Dynamically Responsive Interventions for Tremor
Suppression) supported under contract QLK6-CT-
2002-00536 by the European Commission (5th
framework; RTD: ‘Quality of life and management
of living resources’; Key Action 6.4: ‘Ageing and
disabilities’). This paper does not necessarily reflect
the views of the European Commission and in no
way anticipates its future policy in the field. We
thank the patients for their cooperation.
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