Cite Article

Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation

Choose citation format

BibTeX

@article{IJASEIT1973,
   author = {Fajar Akhmad Dwiputra and Balza Achmad and - Faridah and - Herianto},
   title = {Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {1},
   year = {2017},
   pages = {299--304},
   keywords = {accelerometer; active rehabilitation; finger movement; post-stroke; physiotherapy.},
   abstract = {Stroke is a disease that currently attracts more attention in Indonesia according to the statistics provided by the Ministry of Health of the Republic of Indonesia. This research was motivated by the shortage of physiotherapists which can not catch the increasing number of stroke patients. The therapy becomes less effective and less efficient since each therapist must handle too many patients during his/her work hours. This research has developed a device prototype that can help the therapy to measure and monitor patient exercise, especially at the final stage of rehabilitation when the patient gets therapy to move actively. The angle of the moving body parts  that can represent the ability of patient motion was measured using accelerometers. The developed prototype was in the form of a glove, equipped with an Arduino Nano and two accelerometer modules, that measures the motion of the thumb and index finger. The device was calibrated and tested to determine the characteristics of the sensors. This test showed that the gloves prototype had an accuracy of 95,8% and precision of 99,6%. The application of the prototype was carried out on four types of finger movements, namely thumb abduction-adduction, thumb flexion-extension, finger flexion-hyperextension, and finger abduction-adduction. The prototype was also tested for its ability to work in variations of direction and position of the hand.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1973},
   doi = {10.18517/ijaseit.7.1.1973}
}

EndNote

%A Dwiputra, Fajar Akhmad
%A Achmad, Balza
%A Faridah, -
%A Herianto, -
%D 2017
%T Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation
%B 2017
%9 accelerometer; active rehabilitation; finger movement; post-stroke; physiotherapy.
%! Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation
%K accelerometer; active rehabilitation; finger movement; post-stroke; physiotherapy.
%X Stroke is a disease that currently attracts more attention in Indonesia according to the statistics provided by the Ministry of Health of the Republic of Indonesia. This research was motivated by the shortage of physiotherapists which can not catch the increasing number of stroke patients. The therapy becomes less effective and less efficient since each therapist must handle too many patients during his/her work hours. This research has developed a device prototype that can help the therapy to measure and monitor patient exercise, especially at the final stage of rehabilitation when the patient gets therapy to move actively. The angle of the moving body parts  that can represent the ability of patient motion was measured using accelerometers. The developed prototype was in the form of a glove, equipped with an Arduino Nano and two accelerometer modules, that measures the motion of the thumb and index finger. The device was calibrated and tested to determine the characteristics of the sensors. This test showed that the gloves prototype had an accuracy of 95,8% and precision of 99,6%. The application of the prototype was carried out on four types of finger movements, namely thumb abduction-adduction, thumb flexion-extension, finger flexion-hyperextension, and finger abduction-adduction. The prototype was also tested for its ability to work in variations of direction and position of the hand.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1973
%R doi:10.18517/ijaseit.7.1.1973
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 1
%@ 2088-5334

IEEE

Fajar Akhmad Dwiputra,Balza Achmad,- Faridah and - Herianto,"Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 1, pp. 299-304, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.1.1973.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Dwiputra, Fajar Akhmad
AU  - Achmad, Balza
AU  - Faridah, -
AU  - Herianto, -
PY  - 2017
TI  - Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 1
Y2  - 2017
SP  - 299
EP  - 304
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - accelerometer; active rehabilitation; finger movement; post-stroke; physiotherapy.
N2  - Stroke is a disease that currently attracts more attention in Indonesia according to the statistics provided by the Ministry of Health of the Republic of Indonesia. This research was motivated by the shortage of physiotherapists which can not catch the increasing number of stroke patients. The therapy becomes less effective and less efficient since each therapist must handle too many patients during his/her work hours. This research has developed a device prototype that can help the therapy to measure and monitor patient exercise, especially at the final stage of rehabilitation when the patient gets therapy to move actively. The angle of the moving body parts  that can represent the ability of patient motion was measured using accelerometers. The developed prototype was in the form of a glove, equipped with an Arduino Nano and two accelerometer modules, that measures the motion of the thumb and index finger. The device was calibrated and tested to determine the characteristics of the sensors. This test showed that the gloves prototype had an accuracy of 95,8% and precision of 99,6%. The application of the prototype was carried out on four types of finger movements, namely thumb abduction-adduction, thumb flexion-extension, finger flexion-hyperextension, and finger abduction-adduction. The prototype was also tested for its ability to work in variations of direction and position of the hand.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1973
DO  - 10.18517/ijaseit.7.1.1973

RefWorks

RT Journal Article
ID 1973
A1 Dwiputra, Fajar Akhmad
A1 Achmad, Balza
A1 Faridah, -
A1 Herianto, -
T1 Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Rehabilitation
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 1
YR 2017
SP 299
OP 304
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 accelerometer; active rehabilitation; finger movement; post-stroke; physiotherapy.
AB Stroke is a disease that currently attracts more attention in Indonesia according to the statistics provided by the Ministry of Health of the Republic of Indonesia. This research was motivated by the shortage of physiotherapists which can not catch the increasing number of stroke patients. The therapy becomes less effective and less efficient since each therapist must handle too many patients during his/her work hours. This research has developed a device prototype that can help the therapy to measure and monitor patient exercise, especially at the final stage of rehabilitation when the patient gets therapy to move actively. The angle of the moving body parts  that can represent the ability of patient motion was measured using accelerometers. The developed prototype was in the form of a glove, equipped with an Arduino Nano and two accelerometer modules, that measures the motion of the thumb and index finger. The device was calibrated and tested to determine the characteristics of the sensors. This test showed that the gloves prototype had an accuracy of 95,8% and precision of 99,6%. The application of the prototype was carried out on four types of finger movements, namely thumb abduction-adduction, thumb flexion-extension, finger flexion-hyperextension, and finger abduction-adduction. The prototype was also tested for its ability to work in variations of direction and position of the hand.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1973
DO  - 10.18517/ijaseit.7.1.1973