Questions related to Gait
Basically I have a great interest in brain signal processing and analysis. It would be great if anyone can help to find out an open access EEG or fNIRS dataset of hand movement or human gait.
I, Darshan Prakashbhai Parmar, MPT student, from Government Physiotherapy College Jamnagar, am conducting a survey on 'EFFICACY OF PELVIC PNF TO IMPROVE TRUNK CONTROL, BALANCE AND GAIT PATTERN IN NEUROLOGICAL CONDITIONS' as a part of my Evidence Based Study(EBS) under the supervision of my Guide, Dr. Karishma Jagad (MPT-NEURO), Sr. Lecturer at Government Physiotherapy College Jamnagar.
We therefore request physiotherapists practicing in India to kindly fill this questionnaire, which will hardly take around 10-15 minutes. The link for the survey is provided below. The responses will be kept anonymous.
I further request you to forward the link to your friends or colleagues.
*(In case the link does not open, please copy and paste the link in your web browser or you can whatsapp me on +917984377793, I will share the form link there.)*
Thank you for your time and participation.
Take care and stay safe
Im trying to write a code that allows me to detect the tap on an IMU sensor from the accelerometer data during gait analysis.
I need as an output the time instant of the taps (in the ellipses), is it somehow possibile to do it in a pretty simple way?
We've tried to find the associated peak with findpeaks, but it's quite a mess..
Thank you for your help
1) Is there a code that allow to resize a 4k video to 1080p in Matlab?
We are doing gait analisys videos but, in order to import the videos in our software, we have to reduce the resolution to fit with the properties of the pc screen.
Probably we will just change the GoPro settings but I'd like to have an alternative.
2) We've tried to create a code to change (reduce) fps too, but it gives a slowed down output. Is it possible to change it without compromising the video?
Thank you all.
what is the reliability and validity of using low-cost motion analysis software like kinovea instead of the 3D-motion systems ?
and are there any alternatives for kinovea that can be used to assess gait deviations in patients with Lower-limbs dysfunctions?
Hi Everybody, I'm searching for a marker dataset from transtibial amputees, if you are aware of a publicly available one please let me know, thank you in advance,
In your clinical or research experience: What is the variable that most impacts according to patient reports or clinical tests in a patient with vestibular disorder (peripheral or central) vertigo, dizziness, visuovestibular alterations, or instability? According to you, what could it be due to?
For my internship I'm looking to do an experiment which involves the analyses of step speed and step length and variabilities in these properties. I'm looking to use a camera system for ease of use (we want to keep setup time for each participant as low as possible) though simple markers can be added.
Which (preferably cheap or free) software would be able to analyze footage from (multiple) camera's and determine the earlier mentioned factors? Ideally the software is relatively easy to use and is able to export the data to MATLAB.
Thanks in advance!
Parkinson Disease (PD) is a degenerative disease that affects motor function and sequential.
At which level of H&Y stages will this improve?
Short term or long term effect?
Any evidence to help patient and client?
Dear RG members,
I am working on finding the links between joint kinematic and EMG time series in pathological gait cycles.
The objective is to try to explain altered kinematics from altered EMG.
Do you know of any methodologies to explore that?
Do you think I need a healthy group to study the differences in kinematics and EMG?
Thank you very much for your responses.
Can I ask for a raw data for normal Gait Kinematics and kinetics that can be added to Excel sheet ?
Thanks in advance, your cooperation is highly appreciated.
I am doing simulations of gait cycles in which I use a contact model to recreate ground reactions, and I try to optimize some parameters in my model to make it fit to my experimental measures.
I want to know if there is a standard for a good enough error in this particular field, or if it really depends on my application.
In other words, I want to know if there is a threshold at which I can consider my optimization adequate.
Hi everyone, I'am a BME student interested in Bio mechanics .I'am confused about ankle joint power analysis ,the units for ankle joint power are w/kg .I wonder how this units are taken and what do they represent
2)I have come to know that a force plate is used for gathering the data can someone explain to me briefly how the force plate capture the ankle joint data?
Thanks - Pranitha
I have collected data on ankle angular velocity for different human subjects. I need to normalize the curve for time as each and every subject completed the gait cycle at different time intervals. How to normalize the gait cycle for time?
Could be the data in .xls? If couldn´t, and it´s in C3d, please illustrate how I can transfer it.
There exists a considerable body of literature on the application of exoskeleton as an assistive tool in the area of gait or balance therapy. I am interested in finding out more about the utilization of such warable technology as a training modality for applying load on or perturbations to wearer.
I want to measure/calculate foot kinematics and kinetics (midfoot moments and power) using a multi-segment foot model during walking with and without foot orthoses. I was looking at the available literature and I think my two best options would be the Oxford Foot Model and the Rizzoli Foot Model.
Which one is better suited? I'm using the Optitrack/Motive system.
Thanks for your time,
I am currently searching for a good database to classify normal and abnormal gait from RGB 2D image sequences or RGB 2D videos. Could anybody suggest me anything? If it is based on human pose estimation that would be even more beneficial for me.
N.B: It would be a bonus for me if anyone could also suggest a good Gait Phase classification Database from RGB 2D videos or image sequences along with the answer to my original question.
I am doing research for Parkinson's disease gait analysis. Where can I find a database based on the acceleration of gait from Parkinson's disease patients?
Excuse me :)
Is there any locomotor specific control for maintaining gait and balance other than or beside the interaction of nervous system and the musculoskeletal system?
What I have learned that mainly the balance or gait control are mainly regulated in the supraspinal mechanism, from the top region of cerebral cortex, basal ganglia, midbrain, and hindbrain, and including vestibular and cerebellum system for initiating and planning, and the lower region of spinal cord where the timing and pattern of locomotion is executed by limb and body muscles.
Is this already complete mechanisms?
Or, is there any other mechanisms that I can mention in the context of nervous system and muscular system (neuromuscular control)?
Thank You in advance, Experts :)
A lot of variations in spatiotemporal parameters during gait performance among stroke survivors have been recorded. Studies have slso shown that such variations in gait paramets during gait performance have strong (confounding) influence on the outcome/results of gait analysis conducted among these individuals. A number of factors have been pointed out as contributing factors to the observed variations in gait performance. Such include fear of falling, fatigability/post stroke fatigue and environmental factors. It is therefore of serious concern to me to find out how these variables could be assessed objectively as this would help me immensely in my current study.
I currently have collected Gyroscope/Accelerometer data (X/Y/Z) for my dissertation, but not very knowledgeable on how to process my data and apply Machine Learning?
Can anybody help?!
Maybe I am using the wrong search words, but I can’t find any work on this topic.
Here’s what I am looking for and how I got in this corner. I use a physics-based system-level model that combines an automated Spring Mass model with a generic rotational model to compute a subject’s total Mass Specific Power (MSP, W/kg). The combined model replicates the typical 4% minimum in MSP or O2 consumption that is observed near a runner’s Preferred Step Frequency (PSF, Hz).
The combined model also predicts a decrease in PSF with increased height. (I found this effect in some reprocessed data from a paper by Rodger Kram and a dataset that I kindly received from John Rasmussen.)
I feel that the model might help explain why the observed PSF(v) dependence generally has a positive second derivative.
If you know of any research in this area, I would appreciate a citation.
The combined model with the basic mathematic formulations is shown in the attached diagram
I would like to analyze gait cycles (running) - is there a smart way for cycle detection and calculation of the angles for each joint (average/maximum) for a certain amount of cycles - without writing a AMTLAB-routine?
In order to study bone fracture in patients with osteoporosis, I need patient's exact muscle forces magnitude, location and direction (as FEM boundry conditions), while it is difficult to get such subjects to a MOCAP lab and get their data.
1. Is it possible to get a body-matched subject perform our tasks of interest (gait, stairs decent/accent, etc) and use their MOCAP data to run our multi-body dynamics simulation (using OpenSim software)?
2. How reliable would be the calculated muscle forces in terms of magnitude and direction?
3. Is there any other way to derive these patient's muscle forces? how accurate would be the results of these alternative methods?
I have used Vicon Nexus 2 for a walking trials with the lower body plug in gait model. However, the ASCII data exported has a column title Rknee angles and contains angles in X Y Z columns. Is there a way to directly output flexion/adduction/rotation angles instead ? Or am i missing something in the understanding of these XYZ outputs ?
I'm curious to know whether any of you have used head acceleration to investigate balance control. Particularly, if there is any interesting variable from head-mounted 3D accelerometers that can pinpoint changes in postural control during gait, or differences between young and older adults. Any comment will be helpful!
Stay safe and thanks for the contributions!
Hello all, I am working on Gait related data which has sequences of joint trajectories in x, y, z axis. I want to know how to calculate joint angle lets say Knee Angle if I have 3 coordinates of hip, knee and ankle?
I am currently conducting a broad scope systematic review on the effects of gait aids on stroke patients (looking at a wide variety of outcomes to improve generalisability).
Every single study that exists on this topic is of a pre/post quasi-experimental nature. The parameters are typically measured and reported the same way e.g. with accelerometers or validated balance assessments etc. To me this screams meta-analysis, however, I am concerned that my findings will be subject to a large amount of compounded bias if I complete a meta-analysis and forest plot using RevMan5 given the inherent lack of internal validity of these studies.
Has anybody successfully completed a meta-analysis of this nature, if so, what was your rationale?
A bonus additional question. A lot of my studies have the 'control' group (walking without gait aids) and then two 'intervention' groups (walking with a different gait aid for each group). Combining groups for meta-analysis in controlled trials is simple. Has anybody done this for pre-post design studies? If so How
Looking forward to hearing from you all
Kindly I.am going to search on lameness and limb function after fractures repair in rabbits ,and for that I. am going to estimate an (limb gait score) in which evaluation of the fractures repair post operation done by the clinical observation of animals lameness and the character of the of the animals attitude during fractures healing processing .
With my respect and thankful if I receive an scientific paper for that.
We are currently looking to recognize not only steps but detailed gait data (e.g. Shape Context and Linear Time Normalized) based on smartphone accelerometer data. We appreciate hints to existing software solutions (Android, iOS or device independent) as well as related work on the topic. Also, we would like to connect with other groups working on that subject.
We will use this data to support movement training as well as everyday walking activities of older adults (typically aged between 60 and 85).
I could identify the people by their color of clothes, but this is not enough. I would like to find a good code python to identify the people by their gait or legs using the human following robot.
my sensor is Kinect camera, real robot (turtlebot 2)
please help me or any suggestions
Thank you in advance.
I am currently running an EMG analysis for gait activity. During the processing the data, I have found that there is a spike at 0 Hz, as shown in the attached.
Furthermore, I am trying to remove power line noise at 50 Hz but woudln't I lose valuable information within the frequency?
Any comments will be really helpful
Though the effect of trees or forests on water is well known, is the effect considerable when it comes to larger scale, basically at basin level? Taking the example of Ganges basin, Do you think forest affects the water availability of basin or only makes a change spatially?
I have some gait lab data which contain position of lower body markers.
If I calculate Sacrum markers acceleration, could I assume this acceleration as linear acceleration that an inertial sensor measures?
is there any references?
We are currently collecting sEMG data during gait of young healthy adults. We noticed that some levels of asymmetry exist even in this population.
Did anyone else notice such asymmetry? What is the expected values of asymmetry that one can expect, without questioning the reliability of the measurement? Did anyone notice anything interesting regarding this matter in large vs. small muscles? (i.e., quadriceps, glutei vs. peroneal or tibialis muscles?)
I'm trying to synchronize imu sensor with the Motion Capture system. Is this possible? If so, how?
thanks for answering
We are working on a protein that is predicted to contain a zinc finger (ZnF). Could someone share your experience working with ZnF proteins? Should we add Zn during expression in E. coli? If so, which chemicals (ZnCl2, Zn(OAc)2, etc.) and how much? For purification, do we have to add Zn in the lysis buffer and how much? Is it okay to use Nickle column? What are other cautions we should be aware of? Thank you very much! _Gang
La mise en oeuvre de toute recherche est l'action permettant de résoudre un problème identifié, dont la démarche expérimentale appliquée permet d'obtenir des résultats. Cependant, je me questionne sur la possibilité ou non d'autres démarche pouvant conduire à une nouvelle compréhension ou la résolution du problème.
I'm working on a project which should identify problems in the human gait.
After a research I've made I decided to use an IMU sensor comprises from an accelerometer and gyroscope. I've attached it to my foot and to my knee and I'm getting x,y,z values of the accelerometer & gyro.
My question is - what next?
I red in some articles that I should combine the x,y,z of the 2 sensors or use Kalman filter, but actually I need some guidance about how to proceed from here.
my hardware is - Arduino Nano 33 IOT (with built in IMU)
I am a bio-mechanic engineer and I want to analyze human different movements like gait and jump.
I had written a code based on Christopher L Vaughan book: dynamic of human gait.
It was good because of calculation of instant center of rotation in joints and it was complicated due to this advantage.
Is there any other useful and detailed reference for calculating joint forces and moments?
I am using optitrack motion capture system to calculate the Maximum Lyapunov exponent from kinematic gait data .Different retro reflective markers are placed on trunk and feet of the subjects.
Ideally, I would be able to synchronize the device/system with other systems such as motion capture and EMG systems and force plates. Thanks
I'm looking to get a better sense of whether gait speed is mostly used as a research tool, or if people are using it in medical practice, based on real experiences. My initial research seems to indicate that it's indeed a research tool, but it seems it is also used in cardiology/thoracic surgery to assess post-operative risk.
What have been your experiences with gait speed? How are you currently measuring it? (Any relevant references or links are also greatly appreciated!)
I have a sample of Lokomat walking therapy data. the data consis of 75000x4 time sequence data for 5 minutes of recording (refer excel file); time - column 1, Gait index - column 2, hip angle - column 3, knee angle - column 4. The plots for whole recording are as in the pdf file; about 100 cycles. I plotted for a few cycles to see the patterns.
Gait cycle identification can already be viewed from the gait index that repeats from 0-1000 (ramp pattern) for each gait cycle. It does not need feature extraction to determine the cycle because the gait index can be used to determine a cycle.
How to segment each cycle (get the data for each cycle) then get average cycle while every cycle has different numbers of data? For each cycle the data counts is different, so to find the average, need to interpolate each cycle data to the same number of data (101 points - 0% -100%). How to use MATLAB to do the operations? How can I separate the data into 70% to find the average and another 30% to test it?
We have measured EMG during walking in two different population, and would like to compare their muscle activity.
While some former studies have used statistical inference (i.e. t-tests for max values), we would like to assess the whole time series. Our aim is to show difference in or near specific events of the gait cycle.
Any advice regarding how to perform a statistical inference for time series? or where should I obtain more information regarding this topic?
I am planning a study on freezing in patients with Parkinson’s disease. I need basic parameters including and especially time taken to initiate walking.
What is the most affordable way to conduct such gait analysis? Insoles? Affordable gait mats?
Thanks for your response in advance,
What percentage or how many minutes of a healthy human's day is spent on different biomechanical activities such as sitting, standing, walking, lying and so on?
in case of load analysis
I am looking for a reliable algorithm to detect gait events in patients with moderate to severe gait impairments. Whereas some existing algorithms work satisfactorily in good to moderate walkers (e.g. Zeni-Algorithm for kinematic analysis), they are often prone to errors in patients with more pathological gait patterns. Force/pressure-based methods are considered the gold standard for automated gait detection, however, they are not really feasible during free overground walking.
Can anybody recommend an algorithm for robust detection of gait events during treadmill and overground walking in patients with severe gait pattern deviations?
- Is this to reduce the risk to nursing staff or for physiotherapists?
- I have been trying to find literature on the risk of using gait belts for the nirse or therapist and am having difficulty finding anything realted to the WHS concerns
- I look forward to hearing from you
In my search for the best way to select 30 strides/gait cycles within datasets with up to 100+ strides, I am looking for a proper approach. Does anyone know a method to find the 30 best representatives or has reasoning for randomly select those strides? My research is about variability so a method like: select the 30 strides with the smallest SD compared to the middle value, doesn't sound correct to me.
Thanks in advance.
I observe that the majority of researchers in the human following robot use many features such as the color of clothes, height, width, gait, etc.
when they evaluate their approaches first, evaluate every feature separately, then integrate them so that performance is high in an integrating case.
why evaluate them separately whereas that integrating case always is best? please, l need to know the academic purpose of this?
I am looking for complete data of Marketization Index (MINDEX) of regional development in China, till 2014 or latest available. I guess it is compiled by Prof. Fan Gang of Peking University.
I will be highly obliged If anyone can share this data.
Thanks in anticipation.
I have this Lokomat data from its recording for one therapy session. It consists of 75k rows of data of many parameters for 5 minutes recording (0 - 299.996s). The frequency of sampling is 250Hz (thats why in 5 minutes producing 75k rows).
Lokomat uses gait index (0-1000) to identify a complete cycle but the start of cycle is different from standard normalized gait graph which normally starts from heel strike. The gait index 0-1000 can be normalized to gait cycle 0%-100%.
Approximately in 30s there are 10 cycles, so in 300s there should be about 100 cycles. I tried to plot them with normal plot and scatter plot; the pattern is there. I want to have one cycle plot for the whole therapy session. See attached graphs :
1. hip position vs time and gait index vs time for 30s
2. whole data from 300s plotted with normal plot (left) and scatter plot (right)
3. one cycle plot
I have kinematics data based on gait index which defines gait cycle based on 0-1000 gait index. One cycle consists about 546 data (not quite exact as due to sampling, data for new cycle might start after 0 and may also ends after 1000).
0 to 1000 may be normalized into 0% to 100%. If for example I have data that starts from 1.687262 and ends at 1000.866499 inclusive in that 546 data, how can I reduce the data into 101 data ranging exactly from 0% to 100% (0%, 1%, 2%, ... 100%)?
When doing gait analysis, are there any criteria for a "standard" surface to walk on? In other words, what features from the surface would affect gait, and in what ways? I suspect this might be critical for subjects who already have problems with walking, but am not sure what exactly to look out for. It'll be nice to have some advice from you.Thank you!
There are many methods to establish a gait database with experiments done when the sampled person walks for a few minutes. Thats means the person walked repetitively for some gait cycles (one complete cycle is 100% gait cycle) as it only takes between 1-2 seconds to complete a gait cycle (either from a heel strike to next heel strike of the same leg or from toe off to next toe off of the same leg).
As there are many gait cycles involved in the experiment duration, how is the gait data obtained is pre and processed to finally come out as data between 0 - 100% gait cycle only? I mean, the data is only plotted over 100% gait cycle. Is the whole cycles data averaged to only one cycle? If so, how? For examples joint angle vs 100% gait cycle, joint torque vs 100% gait cycle.
In addition to my own experience with patients having torsion dystonia, I have come across mention of two patients whose ambulation forward was quite impacted, while walking in reverse was absolutely normal.Are there any other disorders where this has been observed?
Grand Canyon University
The next step in concussion care should involve objective measures of oculomotor, gait and voice pattern abnormalities with therapy targeted at specific injury patterns. For example if a ocular device such as Neuro-Kinetics I-PAS identifies convergence insufficiency, abnormal saccadic intrusions to the right and pupillary reflex injury, therapy should concentrate on these primarily. The same idea should apply to gait and balance (look for laterality of injury, specific injury patterns) and treat these first or at least more often than general therapy. Voice pattern analysis is a new area that I did not know overlaps with gait and balance. It will be very interesting to have Speech Pathologists look at the type of data developed by Dr. Daniel Hannon at MIT's Lincoln Labs and create treatments based on this.
We know we can diagnose concussion with various devices now, the trick will be to take objective, sometimes very subtle data and turn it into more effective therapy.
how we calculate lumbosacral loads during single stance phase in gait with one force plate?
What is the best wall color of the lab to use with a IR cameras MoCap system (Qualisys, Vicon, Optitrack...)? We have always used white walls, without any problems. I read that blue color is the best option to use with the IR systems/spectrum. What is your opinion? Any color in particular? (please add pantone-color number)
Jose Heredia-Jimenez Human Behavior & Motion Analysis Lab. HubemaLab. University of Granada in Ceuta.
Timed up and go (TuG) and Dynamic Gait Index (DGI) both seem to look into the same area; balance, functional mobility and gait.
If I'm looking into elderly/older adult population (age >70years), is there one that is more specific to the population yielding accurate results?
I'm looking to justify the use of one of them as outcome measure of an elderly who had a recent mechanical fall at home for discharge planning. Thank you!
I need the data separate for sprains and fractures and to able to compare them. I have only been able to find normal gait data. How could I access such data?