Effect of trunk control training on plantar pressure in patients with lumbar disc herniation

Battesha, Hanan Hosny M.; Elhak, Reda Kotb Abd Elrazik Gad

doi:10.12968/ijtr.2019.0026

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…[17][18][19][20][21] A pressure platform is presented as an additional diagnostic method for LDD and able to indicate the effectiveness of operative treatment and physical therapy after surgery. [22] While, in-shoe systems [23][24][25][26] are definitely preferable due to the convenience and capability of reflecting the interface between the foot and the shoe. However, the drawback is that the spatial resolution of the data is low due to fewer sensors.…”

Section: Introductionmentioning

confidence: 99%

Active‐Matrix Sensing Array Assisted with Machine‐Learning Approach for Lumbar Degenerative Disease Diagnosis and Postoperative Assessment

Liu

Zhang

Sun

et al. 2022

Adv Funct Materials

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Lumbar degenerative disease (LDD) refers to the nerve compression syndrome such as neurogenic intermittent claudication and lower limb pain, which disturbs people's daily life, and its incidence increases with age. Traditional diagnosis often employs magnetic response imaging or other imaging examinations. But the radiological data have uncertain clinical correlation and often be overemphasized in clinical decision making. Here, an active-matrix sensing array (AMSA) is proposed to measure plantar pressure during walking, in order to improve LDD diagnostic processes. An array of piezoelectric sensors with high robustness are assembled. Combined with a support vector machine (SVM) supervised learning algorithm, the system can classify the common human motions of half-squat, squat, jump, walk and jog with an accuracy up to 99.2%, demonstrating its capability of recognizing personal activities. More importantly, in 62 clinical samples of lumbar degenerative patients, the system can perform an artificial intelligence diagnosis, achieving an accuracy of 100% with an area under receiver operating characteristic curve of 0.998, and also gives out recovery assessments after surgery. Since the personal plantar pressure is also indicative of other diseases, such as diabetes and fasciitis, the system can be extended to other medical aspects, showing a broad impact in biomedical engineering.

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