Purpose: To understand individuals' perceptions of technology use during inpatient rehabilitation.
Method: A qualitative phenomenological study using semi-structured interviews of 10 individuals with diverse underlying diagnoses and/or a close family member who participated in inpatient rehabilitation.
Results: Core themes focused on assistive technology usage (equipment set-up, reliability and fragility of equipment, expertise required to use assistive technology and use of mainstream technologies) and opportunities for using technology to increase therapeutic engagement (opportunities for practice outside of therapy, goals for therapeutic exercises and technology for therapeutic exercises: motivation and social interaction).
Conclusion: Interviews revealed the need for durable, reliable and intuitive technology without requiring a high level of expertise to install and implement. A strong desire for the continued use of mainstream devices (e.g. cell phones, tablet computers) reinforces the need for a wider range of access options for those with limited physical function. Finally, opportunities to engage in therapeutically meaningful activities beyond the traditional treatment hours were identified as valuable for patients to not only improve function but to also promote social interaction.
Implications For Rehabilitation: Assistive technology increases functional independence of severely disabled individuals. End-users (patients and families) identified a need for designs that are durable, reliable, intuitive, easy to consistently install and use. Technology use (adaptive or commercially available) provides a mechanism to extend therapeutic practice beyond the traditional therapy day. Adapting skeletal tracking technology used in gaming software could automate exercise tracking, documentation and feedback for patient motivation and clinical treatment planning and interventions.
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http://dx.doi.org/10.3109/17483107.2013.787124 | DOI Listing |
Sci Rep
January 2025
Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
This study investigates pilot perspectives on the use of Flight Simulation Training Devices (FSTDs) in Canada's general aviation (GA) sector, which, despite their longstanding adoption, remain underutilized. It also examines pilot perspectives on the potential of Augmented Reality (AR) technology as an assistive tool in GA pilot training. An online survey gathered views on FSTD use for routine flight operations and emergency training, as well as AR's potential to support learning.
View Article and Find Full Text PDFInt J Numer Method Biomed Eng
January 2025
Department of Cardiology, First Medical Center, General Hospital of Chinese people's Liberation Army, Beijing, China.
The intra-aortic balloon pump (IABP) is a widely-used mechanical circulatory support device that enhances hemodynamics in patients with heart conditions. Although the IABP is a common clinical tool, its effectiveness in enhancing outcomes for patients with acute myocardial infarction and cardiogenic shock remains disputed. This study aimed to assess the effectiveness of intra-aortic dual-balloon pump (IADBP) and its impact on aortic hemodynamics compared with an IABP.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Behavioural Science and Health, University College London, London, United Kingdom.
Importance: A wide range of medications, noncombustible nicotine products, behavioral support, and alternative treatments are available in England to help people stop smoking. Understanding their effectiveness outside of clinical trial settings can support informed decision-making.
Objectives: To provide up-to-date estimates of the prevalence of different smoking cessation aids and associations with quit success and to explore moderation by socioeconomic position.
PLoS One
January 2025
School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India.
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges due to their complexity, dynamic nature, and low signal-to-noise ratio (SNR). Traditional EEG pattern recognition algorithms typically involve two key steps: feature extraction and feature classification, both crucial for accurate operation.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
January 2025
Faculty of Health, Southern Cross University, Queensland, Australia.
Purpose: An assistive technology ecosystem requires co-ordinated collaboration between policy, products, provision processes, and personnel. A needs assessment was conducted of the assistive technology sector in Queensland to examine these components from the perspective of all key stakeholders. This paper reports the findings of the expressed needs of the assistive technology sector as experienced by the AT advisors and suppliers.
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