China
Africa
Explore chapters and articles related to this topic
Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare
Published in Teena Bagga, Kamal Upreti, Nishant Kumar, Amirul Hasan Ansari, Danish Nadeem, Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics, 2023
Neha P. Sathe, Anil Hiwale, Archana Ranade
Considering geriatric care, the serious concern is fall risk, as per the WHO falls are the second leading cause of unintentional injury and death and efforts need to be taken for gait training, balance and functional training to avoid the risk of falling. To describe the involvement of technological help in this category, a few test cases are described.
Active ageing sportswear
Published in Gianni Montagna, Cristina Carvalho, Textiles, Identity and Innovation: In Touch, 2020
L. Piccinini, C. Carvalho, G. Montagna
Geriatrics as a science, says Saldanha (2014)is the science that studies the health problems of older people. Its content encompasses two major areas, namely Gerontology and Geriatrics proper. (ibidem, p.1)
An empirically grounded sociotechnical perspective on designing virtual agents for older adults
Published in Human–Computer Interaction, 2020
IVAs can be used in many ways, such as being a display in a public space (Bickmore et al., 2008), as a presentation partner (Trinh, Ring, & Bickmore, 2015), and as a real estate agent (Bickmore & Cassell, 2001). Research has demonstrated the use of IVAs for various healthcare applications such as geriatrics health counseling (Zhang, Trinh, Chen, & Bickmore, 2015), atrial fibrillation education (Kimani et al., 2016), and patient empowerment (Yin, Ring, & Bickmore, 2012). IVAs have been increasingly used in critical information spaces such as healthcare. One example is Woebot, which is an artificially intelligent “virtual therapist”. Woebot has been studied for its feasibility, acceptability, and preliminary efficacy in delivering cognitive behavior therapy to young adults (Fitzpatrick et al., 2017).
Feasibility study by a single-blind randomized controlled trial of self-management of mobility with a gait-speed feedback device by older persons at risk for falling
Published in Assistive Technology, 2020
Yvonne Schoon, Kim T.J. Bongers, Marcel G.M. Olde Rikkert
At baseline disease burden was assessed using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) (Miller et al., 1992), cognitive status was assessed using the Mini Mental State Examination (MMSE) (Folstein, Folstein, & McHugh, 1975), and frailty was assessed with the Fried criteria (Fried et al., 2001).