Inertial sensor technology discriminates between movement behaviour of HC and PwKOA | All the latest medical news on the portal Medznat.ru. :- Medznat
EN | RU
EN | RU

Help Support

By clicking the "Submit" button, you accept the terms of the User Agreement, including those related to the processing of your personal data. More about data processing in the Policy.
Back

Inertial sensor technology discriminates between movement behaviour of HC and PwKOA

Inertial sensor technology discriminates between movement behaviour of HC and PwKOA Inertial sensor technology discriminates between movement behaviour of HC and PwKOA
Inertial sensor technology discriminates between movement behaviour of HC and PwKOA Inertial sensor technology discriminates between movement behaviour of HC and PwKOA

What's new?

In a clinical setting, Inertial sensor technology can be used to evaluate discriminating differences in movement characteristics of HC and PwKOA. It aids to procure more insight into PwKOA's functional movement behaviour.

In a clinical setting, Inertial sensor technology can be used to evaluate discriminating differences in movement characteristics of HC and PwKOA. It aids to procure more insight into PwKOA's functional movement behaviour.

In a study by Straaten et al., the inertial sensor system was able to distinguish between movement characteristics of (healthy controls) and PwKOA (persons with knee osteoarthritis). Further, significant relationships were established between perceived pain, fear of movement, and joint motion. This study was conducted to investigate the ability of inertial sensors to make a distinction between HC and PwKOA. 

It also determined the correlation between pain-related factors, disability scores, and movement behaviour. A total of 12 HC and 19 PwKOA were enrolled in this study. Inertial sensor system and a camera-based motion analysis system simultaneously recorded 5 repetitions of 6 functional movement tasks (forward and sideward lunge, walking, ascent and descent stairs, single-leg squat, sit-to-stand).

Utilizing SPM1D (one-dimensional statistical parametric mapping), statistically significant differences in angular waveforms of trunk, pelvis, and lower limb joints between HC and PwKOA were assessed. The connection existing between discriminating joint motion, pain-related factors, and disability utilizing spearman’s correlation coefficients were investigated.

PwKOA demonstrated considerably less internal pelvis rotation, trunk rotation, and knee flexion ROM (Range of motion) during walking AS as illustrated in the following table:

Internal pelvis rotation

39 to 80 %

Trunk rotation

0 to 100%

Knee flexion

0 to 33%


Moreover, reduced knee flexion was associated with a higher level of perceived pain. During the sideward lunge, PwKOA subjects demonstrated lower ankle plantar flexion, knee flexion, and hip abduction as depicted in the following table:

Ankle plantar flexion

From 21 to 25% and 79 to 85%

Knee flexion

From 32 to 69%

Hip abduction

From 22 to 39% and from 63 to 85%

 

This diminished hip abduction was associated with higher movement fear. During forward lunge, single-leg squat, and ascent and descent stairs, PwKOA had considerably diminished knee flexion.

 

 Knee flexion

Forward Lunge

From 38 to 62% and from 88 to 96%

Single leg squat

From 39 to 59%

Ascending stairs

From 15 to 41%

Descending stairs

From 12 to 72%

 

There were no significant correlations witnessed with disability. Further research should focus on facilitating the assessment of small movement deviations in clinically relevant tasks.

Source:

Journal of NeuroEngineering and Rehabilitation

Article:

Functional movement assessment by means of inertial sensor technology to discriminate between movement behaviour of healthy controls and persons with knee osteoarthritis

Authors:

Rob van der Straaten et al.

Comments (0)

You want to delete this comment? Please mention comment Invalid Text Content Text Content cannot me more than 1000 Something Went Wrong Cancel Confirm Confirm Delete Hide Replies View Replies View Replies ru en
Try: