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Title: Flex sensor based biofeedback monitoring for post-stroke fingers myopathy patients
Authors: Garda, Y. R.
Caesarendra, W.
Tjahjowidodo, Tegoeh
Turnip, A.
Wahyudati, S.
Nurhasanah, L.
Sutopo, D.
Keywords: Myopathy Patients
Flex Sensor
DRNTU::Engineering::Mechanical engineering
Issue Date: 2018
Source: Garda, Y. R., Caesarendra, W., Tjahjowidodo, T., Turnip, A., Wahyudati, S., Nurhasanah, L., & Sutopo, D. (2018). Flex sensor based biofeedback monitoring for post-stroke fingers myopathy patients. Journal of Physics: Conference Series, 1007, 012069-. doi:10.1088/1742-6596/1007/1/012069
Series/Report no.: Journal of Physics: Conference Series
Abstract: Hands are one of the crucial parts of the human body in carrying out daily activities. Accidents on the hands decreasing in motor skills of the hand so that therapy is necessary to restore motor function of the hand. In addition to accidents, hand disabilities can be caused by certain diseases, e.g. stroke. Stroke is a partial destruction of the brain. It occurs if the arteries that drain blood to the brain are blocked, or if torn or leak. The purpose of this study to make biofeedback monitoring equipment for post-stroke hands myopathy patients. Biofeedback is an alternative method of treatment that involves measuring body functions measured subjects such as skin temperature, sweat activity, blood pressure, heart rate and hand paralysis due to stroke. In this study, the sensor used for biofeedback monitoring tool is flex sensor. Flex sensor is a passive resistive device that changes its resistance as the sensor is bent. Flex sensor converts the magnitude of the bend into electrical resistance, the greater the bend the greater the resistance value. The monitoring used in this biofeedback monitoring tool uses Graphical User Interface (GUI) in C# programming language. The motivation of the study is to monitor and record the progressive improvement of the hand therapy. Patients who experienced post-stroke can see the therapy progress quantitatively.
DOI: 10.1088/1742-6596/1007/1/012069
Rights: © 2018 The Author(s) (IOP Publishing). Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Conference Papers

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