ASU Scholarship Showcase
This growing collection consists of scholarly works authored by ASU-affiliated faculty, students and community members, and contains many open access articles. ASU-affiliated authors are encouraged to Share Your Work in the ASU Digital Repository.
- 2 Ira A. Fulton Schools of Engineering
- 2 School of Biomedical and Health Systems Engineering
- 1 Artemiadis, Panagiotis
- 1 Aziz-Zadeh, Lisa S.
- 1 Boyd, Lara A.
- 1 Clark, C. Brendan
- 1 College of Health Solutions
- 1 College of Nursing and Health Innovation
- 1 Cropsey, Karen L.
- 1 Damasio, Hanna
- 1 Department of Speech and Hearing Science
- 1 Gailey, Alycia
- 1 Gamble, Karen L.
- 1 Garrison, Kathleen A.
- 1 Johnson, Russell L.
- 1 Lang, Catherine E.
- 1 Liu, Brent
- 1 Lohse, Keith R.
- 1 Molzof, Hylton E.
- 1 Petrov, Megan
- 1 Raikes, Adam C.
- 1 Rogalsky, Corianne
- 1 Santello, Marco
- 1 Schaefer, Sydney
- 1 School for the Engineering of Matter, Transport and Energy
- 1 Sheng, Tong
- 1 Winstein, Carolee J.
- 4 English
- 4 Text
- 4 Public
Background: This paper introduces a tool for streamlining data integration in rehabilitation science, the Centralized Open-Access Rehabilitation database for Stroke (SCOAR), which allows researchers to quickly visualize relationships among variables, efficiently share data, generate hypotheses, and enhance clinical trial design. Methods: Bibliographic databases were searched according to inclusion criteria leaving 2,892 titles that were further screened to 514 manuscripts to be screened by full text, leaving 215 randomized controlled trials (RCTs) in the database (489 independent groups representing 12,847 patients). Demographic, methodological, and statistical data were extracted by independent coders and entered into SCOAR. Results: Trial data came from 114 ...
- Lohse, Keith R., Schaefer, Sydney, Raikes, Adam C., et al.
- Created Date
Functional magnetic resonance imaging (fMRI) has significant potential in the study and treatment of neurological disorders and stroke. Region of interest (ROI) analysis in such studies allows for testing of strong a priori clinical hypotheses with improved statistical power. A commonly used automated approach to ROI analysis is to spatially normalize each participant’s structural brain image to a template brain image and define ROIs using an atlas. However, in studies of individuals with structural brain lesions, such as stroke, the gold standard approach may be to manually hand-draw ROIs on each participant’s non-normalized structural brain image. Automated approaches to ROI ...
- Garrison, Kathleen A., Rogalsky, Corianne, Sheng, Tong, et al.
- Created Date
Introduction: Options currently available to individuals with upper limb loss range from prosthetic hands that can perform many movements, but require more cognitive effort to control, to simpler terminal devices with limited functional abilities. We attempted to address this issue by designing a myoelectric control system to modulate prosthetic hand posture and digit force distribution. Methods: We recorded surface electromyographic (EMG) signals from five forearm muscles in eight able-bodied subjects while they modulated hand posture and the flexion force distribution of individual fingers. We used a support vector machine (SVM) and a random forest regression (RFR) to map EMG signal ...
- Gailey, Alycia, Artemiadis, Panagiotis, Santello, Marco, et al.
- Created Date
Objectives: To determine the off-shift sleep strategies of bi-ethnic night-shift nurses, the relationship between these sleep strategies and adaptation to shift work, and identify the participant-level characteristics associated with a given sleep strategy. Methods: African-American and non-Hispanic White female, night-shift nurses from an academic hospital were recruited to complete a survey on sleep–wake patterns (n = 213). Participants completed the standard shiftwork index and the biological clocks questionnaire to determine sleep strategies and adaptation to night-shift work. In addition, chronotype was determined quantitatively with a modified version of the Munich ChronoType Questionnaire. Most participants worked ~3 consecutive 12-h night-shifts followed ...
- Petrov, Megan, Clark, C. Brendan, Molzof, Hylton E., et al.
- Created Date