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Inertial Sensing Based Assessment Methods to Quantify the Effectiveness of Post-Stroke Rehabilitation.

Li HT, Huang JJ, Pan CW, Chi HI, Pan MC - Sensors (Basel) (2015)

Bottom Line: In clinical settings, traditional stroke rehabilitation evaluation methods are subjectively scored by occupational therapists, and the assessment results vary individually.To address this issue, this study aims to develop a stroke rehabilitation assessment system by using inertial measurement units.Especially, as a unique feature of the study the weight for each of three evaluation indicators was estimated by the least squares method.

View Article: PubMed Central - PubMed

Affiliation: Graduate Institute of Biomedical Engineering, National Central University, Jhongli 320, Taiwan. winterfrost1143@gmail.com.

ABSTRACT
In clinical settings, traditional stroke rehabilitation evaluation methods are subjectively scored by occupational therapists, and the assessment results vary individually. To address this issue, this study aims to develop a stroke rehabilitation assessment system by using inertial measurement units. The inertial signals from the upper extremities were acquired, from which three quantitative indicators were extracted to reflect rehabilitation performance during stroke patients' movement examination, i.e., shoulder flexion. Both healthy adults and stroke patients were recruited to correlate the proposed quantitative evaluation indices and traditional rehab assessment scales. Especially, as a unique feature of the study the weight for each of three evaluation indicators was estimated by the least squares method. The quantitative results demonstrate the proposed method accurately reflects patients' recovery from pre-rehabilitation, and confirm the feasibility of applying inertial signals to evaluate rehab performance through feature extraction. The implemented assessment scheme appears to have the potential to overcome some shortcomings of traditional assessment methods and indicates rehab performance correctly.

No MeSH data available.


Related in: MedlinePlus

Illustration of sensors’ placement and assessment motion. (a) The initial position of shoulder flexion and motion direction, and the 3-axis directions of gyro marked by the subscript “G”; (b) The end position of shoulder flexion, and the 3-axis directions of accelerometer marked by the subscript “A”.
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sensors-15-16196-f002: Illustration of sensors’ placement and assessment motion. (a) The initial position of shoulder flexion and motion direction, and the 3-axis directions of gyro marked by the subscript “G”; (b) The end position of shoulder flexion, and the 3-axis directions of accelerometer marked by the subscript “A”.

Mentions: During the assessment, the subjects were required to sit on a chair and lift their arm as high as possible. In this experiment, the patients need repeat the movement 80 times with two minutes rest for every ten motion repeats. Figure 2 shows the positions of the mounted IMUs in the experiments, where the subject’s wrist, elbow and shoulder were equipped with an IMU, respectively. It should be noted that the coordinate systems of the accelerometer and gyro are defined differently for the data acquisition and subsequent computation.


Inertial Sensing Based Assessment Methods to Quantify the Effectiveness of Post-Stroke Rehabilitation.

Li HT, Huang JJ, Pan CW, Chi HI, Pan MC - Sensors (Basel) (2015)

Illustration of sensors’ placement and assessment motion. (a) The initial position of shoulder flexion and motion direction, and the 3-axis directions of gyro marked by the subscript “G”; (b) The end position of shoulder flexion, and the 3-axis directions of accelerometer marked by the subscript “A”.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541874&req=5

sensors-15-16196-f002: Illustration of sensors’ placement and assessment motion. (a) The initial position of shoulder flexion and motion direction, and the 3-axis directions of gyro marked by the subscript “G”; (b) The end position of shoulder flexion, and the 3-axis directions of accelerometer marked by the subscript “A”.
Mentions: During the assessment, the subjects were required to sit on a chair and lift their arm as high as possible. In this experiment, the patients need repeat the movement 80 times with two minutes rest for every ten motion repeats. Figure 2 shows the positions of the mounted IMUs in the experiments, where the subject’s wrist, elbow and shoulder were equipped with an IMU, respectively. It should be noted that the coordinate systems of the accelerometer and gyro are defined differently for the data acquisition and subsequent computation.

Bottom Line: In clinical settings, traditional stroke rehabilitation evaluation methods are subjectively scored by occupational therapists, and the assessment results vary individually.To address this issue, this study aims to develop a stroke rehabilitation assessment system by using inertial measurement units.Especially, as a unique feature of the study the weight for each of three evaluation indicators was estimated by the least squares method.

View Article: PubMed Central - PubMed

Affiliation: Graduate Institute of Biomedical Engineering, National Central University, Jhongli 320, Taiwan. winterfrost1143@gmail.com.

ABSTRACT
In clinical settings, traditional stroke rehabilitation evaluation methods are subjectively scored by occupational therapists, and the assessment results vary individually. To address this issue, this study aims to develop a stroke rehabilitation assessment system by using inertial measurement units. The inertial signals from the upper extremities were acquired, from which three quantitative indicators were extracted to reflect rehabilitation performance during stroke patients' movement examination, i.e., shoulder flexion. Both healthy adults and stroke patients were recruited to correlate the proposed quantitative evaluation indices and traditional rehab assessment scales. Especially, as a unique feature of the study the weight for each of three evaluation indicators was estimated by the least squares method. The quantitative results demonstrate the proposed method accurately reflects patients' recovery from pre-rehabilitation, and confirm the feasibility of applying inertial signals to evaluate rehab performance through feature extraction. The implemented assessment scheme appears to have the potential to overcome some shortcomings of traditional assessment methods and indicates rehab performance correctly.

No MeSH data available.


Related in: MedlinePlus