As the hamstrings are active in terminal swing, could this either be voluntary or involuntary overflow into IC of the next cycle?
Once the vector is no longer creating an extending moment, the
hams then turn off and the quads kick in to eccentrically control the degree
of knee
flexion in loading.
Why has it been ignored? No idea!
Anyhow, those are my simplified thoughts. I await the onslaught
of responses!
Helen
Helen Evans
Research Physiotherapist
Division of Physiotherapy Education
Clinical Sciences Building
City Hospital Campus
Nottingham
tel: 0115 8404894/80
e-mail: helen.evans@nottingham.ac.uk
Good point, but you would then expect the power to be NEGATIVE
(eccentric), whereas it is very definitely positive (concentric).
So the
hamstrings are no longer preventing motion by this time, they are
generating it!
Chris
--
Dr. Chris Kirtley MD PhD
Associate Professor
Dept. of Biomedical Engineering
Catholic University of America
620 Michigan Ave NE, Washington, DC 20064
Tel. 202-319-6134, fax 202-319-4287
Email: kirtleymd@yahoo.com
http://faculty.cua.edu/kirtley
In my opinion the positive Ko burst is real but present only in those
subjects who can achieve full knee extension at terminal swing.
The
eccentric contraction of the hamstrings to control end range knee flexion
is not always effective, resulting in slightly excessive knee
extension past the 4 or 5 degrees of knee flexion that is desirable
at initial contact. In an effort to correct this excessive extension,
the
hamstrings fire forcefully such that at initial contact the knee is
flexing from a slightly extended position at late terminal swing, applying
a
posterior shear force to the force platform at initial contact, leading
to the brief anterior shear GRF. This explains the brief concentric
contraction of the knee flexors at initial contact and early loading
response, and the subsequent Ko power generation. The co-contraction
of the knee flexors and extensors at early loading response is a good
thing, since it increases the stability of the knee joint.
We’ve noticed that the sagittal plane knee kinematic curves of many
of our normal subjects display a maximum extension valley just prior
to initial contact, and at first blamed it on an inaccurate
foot/floor contact recording. Closer review and a faster sampling
rate have
indicated that this valley does indeed occur before initial contact
in some subjects, and those are the same subjects who display the Ko
positive power generation. In addition, many of our patients
with CP lack full knee extension at terminal swing, and also have a reduced
or
non-existent Ko peak. Have others seen a similar correlation?
Best regards,
-JJC
James J. Carollo, Ph.D., P.E.
Director, Center for Gait and Movement Analysis (CGMA)
The Children's Hospital Denver
Assistant Professor, Rehabilitation Medicine and Orthopaedics Department
University of Colorado Health Sciences Center
Assistant Research Professor, Engineering Division
Colorado School of Mines
1056 E. 19th Ave., B476, Denver, CO 80218
voice: 303-864-5806, fax: 303-864-5815, carollo.james@tchden.org
Chris
From Dr Christopher Smith
Head of Biomedical Science BSc
Centre for Applied Biomedical Research, King's College London
4.1 Shepherd's House, Guy's Campus, London Bridge SE1 1UK
Phone/fax 020 7848 6301, Biomed Office 020 7848 6400
If need be, phone me on 0797 0713507
christopher.smith@kcl.ac.uk
Could the effect of concentric hamstring contraction impact the more
proximal structures (ie, pelvis and sacrum) rather than the distal one
(knee)? Vleeming has described that the biceps femoris actually
originates from the sacrotuberous ligament rather than from the ischial
tuberosity. So, would it make sense that by concentrically contacting,
a counternutation of the sacrum would be created that would
"release" the sacrum from its maximum stable position as the body is
transitioning from single to double support. It would then nutate
(as
the contraction of the hamstring ceases) as double support ends and
single support again occurs, permitting sacroiliac joint stability at a
time when it would be required (single limb support).
Howard Dananberg, DPM
21 Eastman Avenue
Bedford, New Hampshire 03110
603-625-5772
fax 603-625-9889
howiedbpg@aol.com
Hollman JH, Deusinger RH,
Van Dillen LR, Matava MJ. Knee joint
movements in subjects without knee pathology and subjects with injured
anterior cruciate ligaments.Phys Ther. 2002 Oct;82(10):960-72
Ciccotti MG, Kerlan RK, Perry
J, Pink M. An electromyographic
analysis of the knee during functional activities, II. The anterior
cruciate
ligament-deficient and -reconstructed profiles. Am J Sports Med.
1994;22:651-658. Medline
Kaalund S, Sinkjaer T, Arendt-Nielsen
L, Simonsen O. Altered timing
of hamstring muscle action in anterior cruciate ligament deficient
patients.
Am J Sports Med. 1990;18:245-248.
Lass P, Kaalund S, LeFevre
S, et al. Muscle coordination following
rupture of the anterior cruciate ligament: electromyographic studies
of 14
patients. Acta Orthop Scand. 1991;62:9-14.
Limbird TJ, Shiavi R, Frazer
M, Borra H. EMG profiles of knee
musculature during walking: changes induced by anterior cruciate ligament
deficiency. J Orthop Res. 1988;6:630-638.
Shiavi R, Zhang L, Limbird
T, Edmonstone M. Pattern analysis of
electyomyographic linear envelopes exhibited by subjects with uninjured
and
injured knees during free and fast speed walking. J Orthop Res.
1992;10:226-236
Steele JR, Brown JM. Effects
of chronic anterior cruciate ligament
deficiency on muscle activation patterns during an abrupt deceleration
task.Clin Biomech (Bristol, Avon). 1999 May;14(4):247-57.
John J Fraser, PT, MS
johnjfraser@yahoo.com
http://www.geocities.com/johnjfraser
Regards,
Adam
Adam Shortland PhD, MIPEM, SRCS
One Small Step Gait Laboratory,
Guy's Hospital
London
UK
Just to begin with: don't bother about impossible muscle actions, this K0 burst is an artifact.
My PhD student Rob Bisseling is just at this time studying this phenomenon.
He does not only do the usual inverse
dynamics, be it with an Optotrak operating at a sample rate of 200
Hz, but has also accelerometers affixed to foot and
shank.
At heel strike, the foot can have an acceleration of several hundreds
m/s2 over periods of some 25 ms. In fact it is a
deceleration, the foot is moved down and backward at 2-3 m/s and is
stopped by the floor very abruptly, in 10 - 15 ms.
From the impulse law : F.delta t = mass.velocity this gives forces
in the order of 200 N, directed forward/upward (foot
mass is around 1 kg). This is exactly what the force plate detects
and what you see in the animation.
In a good inverse dynamics, this force peak should be neatly compensated
by the mass x acceleration of the foot, and
no peak should appear in the moment or the power. The problem is that
usually the accelerations are calculated from the
position data. Due to the measurement noise, this calculation
can only be done when the position data are low-pass
filtered at some 5-10 Hz. In this way the acceleration at heel strike,
with frequencies around 40 - 60 Hz, is grossly
underestimated. As a result the sharp impact peak turns up in
the knee and ankle moment, while is should not be there.
In fact, when you filter acceleration data at 5 Hz, you should filter
your forceplate data with the same filter! Nobody
does that, of course, after having bought an expensive Kistler, recording
up to 1000 Hz.
I would have liked to show you some figures, but Rob is just busy with
analyzing and writing up this matter, so we better
wait for his paper.
This problem is a nice illustration of the fact that the inverse dynamics
method, valuable as it is, has several major
methodological problems, that are far from solved.
Chris, thanks for an interesting problem again.
At Hof
Institute of Human Movement Science
University of Groningen
PO Box 196 9700 AD
Groningen
The Netherlands
Tel: (31) 50 363 2645
I thought someone might suggest this. I recall that errors from disparity
in force plate and kinematic filtering was
discussed some time ago on BIOMCH-L - although I was somewhat shocked
to find that it was all of 8 years ago!...
"...if kinetics are to be derived then it is prefered to have
the signals temporally synchronized and with the same number
of data
points. Normally, for inverse dynamics derivations of kinetics,
we tend to
'up' the joint marker data (increase the number of data points)
using
various techniques to the GRF sampling rate, so that all the
useful information remains intact (i.e. in particular, the fairly
fast
force development during foot strike).
If one were to decrease the GRF samples to that of the video
sampling
rate, one runs the risk that the derived resultant joint moments
and forces
are inaccurate. One can easily imagine this situation when,
say the
vertical GRF signal has a transient which would be missed (under-estimated)
if the sampling rate was too low.
A far more pressing problem with inverse dynamics caluculations
is
the derivation of acceleration from joint marker data, where
the
selection and implementation of smoothing technique may (does)
have
a significant impact on the derived moments and forces.
Normally we do not have an accelerometer on our subjects to
validate our smoothing technique, as such we typically over-smooth
the data to minimize noise resulting in, I would say,
under-estimates
of the moments and forces."
Dean Kriellaars, Ph.D.
Human Perfromance Laboratory
Assoc. Professor, School of Medical Rehabilitation
University of Manitoba
kriel@ccu.manitoba.ca
Although this seems a plausible explanation for K0, I remain to be convinced
until I see some data. Seems to me that it
should be quite easy to do and I will have a go.
A more important question arises, though. Do we know how the commercial
software out there (Vicon
Plug-in-Gait/BodyBuilder, Orthotrak, C-Motion Visual3D) cope with
this problem? I have checked BodyBuilder, for
example, and I also see an K0. The way BodyBuilder works I don't think
there is any filtering unless I explicitly ask for
it - can anyone confirm this?
Chris
--
Dr. Chris Kirtley MD PhD
Associate Professor
Dept. of Biomedical Engineering
Catholic University of America
I think that At is saying that it is caused by our inability to record
instantaneous changes in velocity caused by impact (not so instantaneous
because of soft tissue but still pretty quick). The concentric power
last for quite a long time so I am not convinced that it is only
artifact (but I could be wrong there). Modeling the foot floor
constraint, including impact is the bane of forward dynamics models of
walking. At's conclusion may be more compelling if heel strike in
simulated walking does not show this concentric power. Ton van den
Bogert may want to chime in with his experience modeling impact.
Filtering force platform data at 5 hz is an interesting idea provided
you maintain the sharp edge at impact and only filter the rest of the
signal.
Scott
----------------------------------
W. Scott Selbie
C-Motion, Inc.
15821A Crabbs Branch Way
Rockville, MD 20855
selbie@c-motion.com
http://www.c-motion.com
(301) 840-1919
(613) 532-1766 (cell)
(301) 840-0271 (fax)
See http://www.isbweb.org/data/invdyn
I understand Scott's concern about low-pass filtering of GRF.
If you use a zero-lag filter, the filtered GRF will rise even before
the foot hits the ground! But your low-pass filtered acceleration
of the limb segments, which are related to the GRF, will also
rise before the foot hits the ground. So both signals really
have to be treated the same way.
In simulated movements you never see impact peaks in joint moments.
This is because muscles are soft tissue, they do not have enough
stiffness to generate or transmit impact forces. So in simulated
joint moments, there are no impact peaks. Of course a model is
just a model, but I am pretty confident that real muscle forces
do not have impact peaks either. Data from instrumented animals
(horse, cat) does not show any.
But of course, a model is just a model and real joints are not
perfect ball-and-socket mechanisms where muscles are the only
contributors to joint moments. The passive varus-valgus (add-abd)
stiffness of the knee joint may be high enough to generate impact-like
peaks in that particular moment. The ankle joint does not really
have 3 unrestrained degrees of freedom, so there is some
non-muscular stiffness there also.
In inverse dynamic studies on impact movements, you often see that
people low-ass filter the joint moments at the end. I think this
is because they (rightly) do not trust the large impact peaks that
they see. But it would be much better to make sure that at the
input
the signals already have been filtered consistently.
Ton
--
A.J. (Ton) van den Bogert, PhD
Department of Biomedical Engineering
Cleveland Clinic Foundation
9500 Euclid Avenue (ND-20)
Cleveland, OH 44195, USA
Phone/Fax: (216) 444-5566/9198
Spurred on by At Hof's concluson that the Ko power birst is indeed an artifact, I thought I'd check back into the archives to see when it came about.
I have a report from the post-WW2 Berkeley study by Bresler and Berry (Energy and Power in the leg during normal level walking, 1951) kindly given to me by Larry Lamoraux, in which they show curves lacking the power artifact:
Having said that, there does seem to be a flexor knee moment immediately after contact, and so (since the knee angular velocity is always flexor) I'm not sure why there's no power.
Since digital filtering didn't come in until the 1960s, I presume no form of smoothing was performed on the kinematic data. Can anyone confirm this?
Chris
--
Dr. Chris Kirtley MD PhD
Associate Professor
Dept. of Biomedical Engineering
Catholic University of America