Portable measurement system of the spasticity based on the K-means clustering algorithm of the tonic stretch reflex threshold
نویسندگان
چکیده
Conventional clinical scales used for the evaluation of the spasticity have some limitations, and their reliability remains controversial. The aim of this study is to develop a portable spasticity measurement system for quantifying the grade of spasticity based on the K-means clustering algorithm of the tonic stretch reflex threshold (TSRT). Fifteen stroke patients (age: 63.5±15.6) participated in the study. As a result, there was a strong negative correlation (r=-0.95, r=0.90, p<0.05) between the spasticity level and TSRTs. This result showed that our system could be made clinically available for the more reliable discrimination of the spasticity level, compared to conventional scales..
منابع مشابه
An approach for spasticity quantification based on the stretch reflex threshold
Spasticity is a common and complex motor disorder that affects more than 12 million persons in the world. There are several studies on spasticity quantification in the literature but there is still a need for measurement improvements. This paper presents the design of a mechatronic device for spasticity quantification, in joint of ankle, elbow and knees. This approach is based on the velocity d...
متن کاملSpasticity Measurement Based on Tonic Stretch Reflex Threshold in Children with Cerebral Palsy Using the PediAnklebot
Nowadays, objective measures are becoming prominent in spasticity assessment, to overcome limitations of clinical scales. Among others, Tonic Stretch Reflex Threshold (TSRT) showed promising results. Previous studies demonstrated the validity and reliability of TSRT in spasticity assessment at elbow and ankle joints in adults. Purposes of the present study were to assess: (i) the feasibility of...
متن کاملExtraction and 3D Segmentation of Tumors-Based Unsupervised Clustering Techniques in Medical Images
Introduction The diagnosis and separation of cancerous tumors in medical images require accuracy, experience, and time, and it has always posed itself as a major challenge to the radiologists and physicians. Materials and Methods We Received 290 medical images composed of 120 mammographic images, LJPEG format, scanned in gray-scale with 50 microns size, 110 MRI images including of T1-Wighted, T...
متن کاملPersistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...
متن کاملبررسی پایایی مقیاس اصلاح شده اشورت در ارزیابی اسپاستیسته عضلات در بیماران همی پلژیک
Background and Aim: Spasticity is a velocity-dependent increase in tonic stretch reflexes (muscle tone) with exaggerated tendon jerks, resulting from hyperexcitability of the stretch reflex. The measurement of spasticity is necessary to determine the effect of treatments. The Modified Ashworth Scale is the most widely used method for assessing muscle spasticity in clinical practice and research...
متن کامل