Browsing by Author "Moreira, J."
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- Biological signals measured by telemonitoring technologiesPublication . Félix, J.; Moreira, J.; Santos, Rubim; Kontio, E.; Pinheiro, A. R.; Sousa, AndreiaAging is one of the biggest challenges of modern society. The development of wearable technological solutions for telemonitoring biological signals has been viewed as a strategy to enhance elderly health care sustainability. This study aims to review the biological signals remote monitored by technologies in older adults. The review protocol was registered on PROSPERO under the number CRD42021282273. Pubmed, Cochrane Database of Systematic Reviews, Web of Science, and Joanna Brigs Institute Database of Systematic Reviews and Implementation Reports were systematically searched between November 2021 and May 2022. Only systematic reviews and meta-analyses of remote monitoring of older adults’ assessment were considered, with publication dates between 2016 and 2022 and written in English, Portuguese, or Spanish. Studies referring to conference proceedings, ineligible articles, or articles with abstract access only, were excluded. Eighteen studies were included, fourteen systematic reviews and four systematic reviews with meta-analysis. Nine of the reviews included older adults from the community, whereas the other studies included also hospitalized participants. Heart and respiratory rate, physical activity, electrocardiography (ECG), body temperature, blood pressure, glucose and heart rate variability were the most frequently measured variables, being physical activity and heart rate on top. Waist, wrist and ankle were the most mentioned body regions for wearable's placement and measurement. Six of the reviews presented the psychometric properties of the systems, being most of the systems valid and accurate. The need for large-scale, long-term monitoring implementation of studies with larger samples sizes is pointed by several reviews to define feasibility levels of wearable devices.
- Systematic review on the applicability of principal analysis components for the study of movement in the older adult populationPublication . Moreira, J.; Silva, B.; Faria, H.; Santos, Rubim; Sousa, AndreiaThe principal component analysis (PCA) is a dimensionality reduction method that has identified significant differences in older adults' motion analysis, previously not detected by discrete exploration of biomechanical variables. This systematic review aims to synthesize the current evidence regarding PCA use in the study of movement in older adults (kinematics and kinetics), summarizing the tasks and biomechanical variables studied. From the search were retrieved 1685 results, and 19 studies were included for narrative review. Most of the included studies evaluated gait or orthostatic position. The main variables evaluated were spatio-temporal parameters, range of motion and ground reaction forces. A limited number of studies analyzed other tasks. Further research should focus the PCA application in tasks other than gait to understand older adults’ movement characteristics that has not been identified by discrete analysis.