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The method, published in a new study in the journal "Scientific Reports," can detect gait problems 15 to 20 years before clinical diagnosis and help improve intervention models to protect brain structure and function
.
Elizabeth Torres, director of the Sensorimotor Integration Laboratory, co-author of the study, said: "Walking patterns may be an important feature of health, but the gait symptoms of diseases such as Fragile X may disappear from the naked eye within a few years.
Until it is clearly visible
.
Considering the anatomical differences (such as people with longer or shorter limbs) and the complexity of the disease, it is still a challenge to use walking patterns to screen for neurological diseases more widely, because these diseases have different effects People of age and developmental stage
About 1 in 468 men and 1 in 151 women are carriers of the abnormal gene that causes Fragile X syndrome
.
The National Rare Disease Organization states that 30% of SKANK3 deletions usually require two or more chromosomal studies before the deletion is detected
In this study, researchers tested 189 people's walking movements that were invisible to the naked eye to detect neurological diseases
.
Using the statistical technology developed by Torres and the causal prediction method developed by Rutgers University graduate student Theodoros Bermperidis, and the wearable motion sensing sneakers developed by the Stevens Institute of Technology collaborators, microscopic movements can be detected
.
Researchers used wearable technologies such as video, heart rate and Fitbit to combine gait data from different patients and patients without any disease
.
Participants completed a simple walking task while wearing smart shoes, which can collect various signals from the whole body and feet
Torres and her team analyzed how the micro changes in the flow of motion produce spikes, the changes every moment, and the speed of change
.
Instead of using these spikes as the total average of noise rejection, they checked the peaks, valleys, and neighboring points around the spikes, and causally determined important lags in the spike time
This study provides a framework to help predict early deviations from normal walking patterns in healthy young people, both for normal aging and vulnerable X carriers
.
These methods help to randomize the stratification of people with autism-related disorders
Lead author Bermperidis said: “Given that Fragile X and SHANK3-related syndromes are still high in other neurological diseases such as autism, Fragile X-related tremor/ataxia syndrome and Parkinson’s disease, this is a sign of abnormal patterns of detection.
Important method
.
"
According to this study, gait naturally decreases with age
.
However, the hip, knee and ankle joints, as well as the thigh, leg and foot bones are the first limbs affected by aging
The challenge for doctors is how to diagnose the abnormal gait of patients who come to their office for the first time
.
Torres said that biosensors combined with analysis and extensive experience of doctors can provide far more than immediate results
Theodoros Bermperidis, Richa Rai, Jihye Ryu, Damiano Zanotto, Sunil K.
