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I Made Agus Setiawan

Researcher at University of Pittsburgh

Publications -  27
Citations -  392

I Made Agus Setiawan is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: mHealth & Medicine. The author has an hindex of 7, co-authored 21 publications receiving 197 citations. Previous affiliations of I Made Agus Setiawan include Udayana University & University of Indonesia.

Papers
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Journal ArticleDOI

The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study

Leming Zhou, +5 more
- 11 Apr 2019 - 
TL;DR: The newly created mHealth app usability questionnaire—MAUQ—has the reliability and validity required to assess m health app usability.
Journal ArticleDOI

An Adaptive Mobile Health System to Support Self-Management for Persons With Chronic Conditions and Disabilities: Usability and Feasibility Studies.

I Made Agus Setiawan, +6 more
TL;DR: An adaptive mHealth system capable of supporting long-term self- management and adapting to the various needs and conditions of PwCCDs is developed as a novel method to support diverse needs in self-management for Pw CCDs that can dynamically change over time.
Proceedings Article

Arrhytmia classification using Fuzzy-Neuro Generalized Learning Vector Quantization

I Made Agus Setiawan, +2 more
TL;DR: A new extension of GLVQ that employ fuzzy logic concept as the discriminant function in order to develop a robust algorithm and improve the classification performance is discussed.
Journal ArticleDOI

Heart beat classification using wavelet feature based on neural network

Wisnu Jatmiko, +4 more
- 01 Jan 2011 - 
TL;DR: This paper uses FLVQ to solve the weakness of the other methode of calssification such as to classified unknown category beat and determines the type of arrhythmia in computerize way through classification process that able to solve unkown categorical beat.
Journal ArticleDOI

The Effect of the Interactive Mobile Health and Rehabilitation System on Health and Psychosocial Outcomes in Spinal Cord Injury: Randomized Controlled Trial.

Michael Alan Kryger, +14 more
- 28 Aug 2019 - 
TL;DR: The use of the iMHere mHealth system may be a valuable tool in the prevention of UTIs or reductions in depressive symptoms in individuals with spinal cord injury and has potential scalability for larger populations.