Gait analysis in the near future?

Last week we had a demonstration of new gait analysis software from Qualisys. It showed nearly automated capture of data from treadmill running and immediate export of data to a web-based report. It was really slick by comparison with other packages that I’ve seen, for which the developers require credit. Let’s hope it stimulates some competition amongst manufacturers to deliver truly user friendly systems. I still felt, however, that it is a long way from what should be possible given current technology.

It caused me to go back to a document a wrote for myself in 2009 trying to map out what  should happen in a clinical gait lab. It was my feeling that most of the technical elements described are currently available and all that is really required is for someone to stitch them all together. Here’s what I wrote:

The patient is welcomed at the door of the gait lab by a single gait analyst. The patient undresses to shorts and a t-shirt and the analyst attaches a number of markers quickly and easily to the patient. A small number of these have to be placed carefully but the others only need approximate locations.

The patient walks into the capture volume and stands still. The system detects they are standing still and captures the static trial. The patient performs the calibration exercises with or without assistance from the gait analyst (following a projection of what they are supposed to be doing on the wall of the laboratory). The system recognizes what they are doing and tells the gait analyst when sufficient calibration data has been captured.

Once this has happened the patient walks up and down several times.  Data capture is automatic and when sufficient data has been captured the system tells the gait analyst that this is the case. If data is required in another condition then the gait analyst tells the system this and the capture of walking data is repeated. The whole process takes about 15 minutes if one condition is required and another 10 minutes for any other conditions.

The quality of the data is continuously monitored. The system is only recalibrated when the system detects that this is required. Markers rarely fall off but if they do the system will tell the gait analyst who simply replaces them and the system automatically recalibrates for the slightly different marker position. Because there is redundancy in the system, it will continue to work even if one or two markers have fallen off. The system analyses the data and alerts the analyst immediately if there are any suspicious features (such as too much knee movement in the coronal plane).

All data is processed in real time and stored as required. The data is collated automatically into a report which is available immediately the tests are complete.

The system has been standardized so that essentially the same process takes place no matter where in the world the analysis is conducted and data from all sites is directly comparable.

I emphasize that all the elements to achieve this are already available. All we need is one (or all of the manufacturers) to cobble them together into a streamlined package. The system I saw last week was moving in the right direction but its still quite a long way from the final destination.

There’s a paragraph I’ve missed out that might be a bit more controversial and may take a little longer to develop:

… This report is based around a computer graphic animation of the subject walking with interpretation tools alerting the clinicians to specific features of the gait pattern and how these are linked to the patient’s underlying pathology. If the clinician wants then it will also make treatment suggestions. The entire report is written in a language that is comprehensible to a health professional with reasonable clinical experience but no specific training in 3-d gait analysis. There are no gait graphs in the report (although these are accessible should the clinician be old-fashioned enough to want to look at them).

Note I haven’t forgotten the physical exam – I’ve just assumed that this will have been conducted somewhere else beforehand, either immediately before at the same visit or on some previous occasion.

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2 comments

  1. Hi Richard,

    Great post. I also agree that technology is in a stage that these suggestions are very feasable. Regarding the last part, for whom and in which way do you think it would be controversial to offer such suggestions in the software?I too believe that for wide spread application of gait analysis we need to move in such a direction.

    regards
    Floris

  2. Dear Dr. Baker:
    I was really surprised when found this blog. It is not often the question what system should be for routine clinical gait analysis (CGA) possible to find out. Yes, the all elements are already is for complete CGA. However, they are having different type of data, different sampling rate, different companies which produce it. In this matter we could not to get any another result when now. The complete clinical system needs at list device for kinematics recording, force platform, multichannel EMG recorder some synchronization box and software package which could collect all the data. Therefore we have at the market for many years the same result. The complete system for CGA looks too complicate to work out it by one company. Fifteen years ago I had some limited experience to work out the full CGA system. We had discussed it with Dr. David A. Winter. He said that at your experience companies do not sensitive to change the product in spite of market requirements. We had meetings at one company without success. But it is not totally true. As we know the BTS Company very slow is moving to right way. The first step was to create own EMG system, next own force platform. But with that speed we’ll got the complete system at the next century.
    At my viewpoint to solve the problem is possible by another way. However, it is above the short message. If the theme is interesting I would be glad to continue.

    Sincerely,

    Dmitry Skvortsov MD PhD
    professor of rehabilitation chair
    Moscow Medical University

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