| Autor: |
Băjenaru, Ovidiu Lucian, Băjenaru, Lidia, Ianculescu, Marilena, Constantin, Victor-Ștefan, Gușatu, Andreea-Maria, Nuță, Cătălina Raluca |
| Zdroj: |
Electronics (2079-9292); Sep2024, Vol. 13 Issue 17, p3440, 36p |
| Abstrakt: |
The aging population requires cutting-edge approaches to geriatric care, with digital health technologies playing a crucial part in meeting the challenging demands of healthcare. Current approaches frequently fall short of the goal of providing comprehensive, real-time monitoring and merging contextually complex information for use in the treatment of patients. This paper addresses these limitations by integrating the innovative approaches within the RO-SmartAgeing system and the NeuroPredict platform to boost geriatric-care outcomes. It emphasizes the multifaceted design and development processes of these digital health solutions, emphasizing a multidisciplinary approach and a meticulous choice of decision-making tools. This paper presents the inclusion of decision-making tools, namely the Medical Blackbox and Gaitband, into the RO-SmartAgeing system and the NeuroPredict platform; these tools have been developed for the purpose of gathering complex physiological data and allow for in-depth evaluations of gait patterns and vital health parameters in elderly individuals. The present research emphasizes major breakthroughs in sensing technology and decision-making capabilities, illustrating the manner in which these tools enhance patient outcomes by providing timely, data-driven insights. The results demonstrate that these tailored decision-making tools significantly improve patient outcomes, underscoring the need for such ongoing improvements able to address digital health solutions tailored to the dynamic demands of an increasingly aging population. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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