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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

Measured inertial signals from the wrist of a stroke patient during the movement of shoulder flexion (three cycles). (a) Affected side (before treatment); (b) affected side (after treatment); and (c) unaffected side.
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sensors-15-16196-f004: Measured inertial signals from the wrist of a stroke patient during the movement of shoulder flexion (three cycles). (a) Affected side (before treatment); (b) affected side (after treatment); and (c) unaffected side.

Mentions: The test subject in this case was a 68-year-old man with left-side hemiplegia caused by a right thalamic intra-cerebral stroke. The frequency of treatment is once an hour three times per week and 24 h in total. The partial inertial signals (three cycles) measured on the wrist during the shoulder flexion movement of the affected side are shown in Figures 4a,b for before- and after-treatment, respectively. Figure 4c illustrates the three cycles of inertial data measured from the unaffected side for the calculation of assessment indicators. Table 2 lists the calculated assessment indicators for both before- and after-treatment.


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)

Measured inertial signals from the wrist of a stroke patient during the movement of shoulder flexion (three cycles). (a) Affected side (before treatment); (b) affected side (after treatment); and (c) unaffected side.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-16196-f004: Measured inertial signals from the wrist of a stroke patient during the movement of shoulder flexion (three cycles). (a) Affected side (before treatment); (b) affected side (after treatment); and (c) unaffected side.
Mentions: The test subject in this case was a 68-year-old man with left-side hemiplegia caused by a right thalamic intra-cerebral stroke. The frequency of treatment is once an hour three times per week and 24 h in total. The partial inertial signals (three cycles) measured on the wrist during the shoulder flexion movement of the affected side are shown in Figures 4a,b for before- and after-treatment, respectively. Figure 4c illustrates the three cycles of inertial data measured from the unaffected side for the calculation of assessment indicators. Table 2 lists the calculated assessment indicators for both before- and after-treatment.

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