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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

Implemented two-channel wireless IMU system mounted on the upper extremity of a healthy adult.
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sensors-15-16196-f001: Implemented two-channel wireless IMU system mounted on the upper extremity of a healthy adult.

Mentions: In the study a two-channel wireless IMU system was implemented and coded, which consists of two inertial sensors, i.e., MPU-6050 Evaluation Board (EVB, InvenSense Inc., San Jose, CA, USA) comprising an MPU-6050 module (InvenSense Inc., a 3-axis gyroscope and a 3-axis accelerometer) and a three-axis magnetometer (Asahi Kasei Corp., Tokyo, Japan), an Xbee® wireless transmission module (Digi International, Minnetonka, MN, USA), and an Arduino Fio control module (SparkFun Electronics, Niwot, CO, USA). Figure 1 shows the set of measuring devices mounted on the upper extremity of a healthy adult, where two MPU-6050 EVBs are packed in green and a white boxes, respectively, and the others, including an Arduino Fio, a battery and an XBee wireless transmitter are stored in the black box. A coded LabVIEW® (National Instruments Corp., Austin, TX, USA) user interface was used to acquire, display and storage measurement data, calibrate the IMUs, and compute the indicators that reflect rehab conditions. The sampling rate is here set to 50 Hz, the full scale ranges of the accelerometer and the gyroscope are ±4 G and ±2000 dps, respectively, for the measurement of limb motion.


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)

Implemented two-channel wireless IMU system mounted on the upper extremity of a healthy adult.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-16196-f001: Implemented two-channel wireless IMU system mounted on the upper extremity of a healthy adult.
Mentions: In the study a two-channel wireless IMU system was implemented and coded, which consists of two inertial sensors, i.e., MPU-6050 Evaluation Board (EVB, InvenSense Inc., San Jose, CA, USA) comprising an MPU-6050 module (InvenSense Inc., a 3-axis gyroscope and a 3-axis accelerometer) and a three-axis magnetometer (Asahi Kasei Corp., Tokyo, Japan), an Xbee® wireless transmission module (Digi International, Minnetonka, MN, USA), and an Arduino Fio control module (SparkFun Electronics, Niwot, CO, USA). Figure 1 shows the set of measuring devices mounted on the upper extremity of a healthy adult, where two MPU-6050 EVBs are packed in green and a white boxes, respectively, and the others, including an Arduino Fio, a battery and an XBee wireless transmitter are stored in the black box. A coded LabVIEW® (National Instruments Corp., Austin, TX, USA) user interface was used to acquire, display and storage measurement data, calibrate the IMUs, and compute the indicators that reflect rehab conditions. The sampling rate is here set to 50 Hz, the full scale ranges of the accelerometer and the gyroscope are ±4 G and ±2000 dps, respectively, for the measurement of limb motion.

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