Average in-home gait speed: Investigation of a new metric for mobility and fall risk assessment of elders

Effect of Angiotensin-Converting Enzyme Inhibitors on Physical Function in Elderly Subjects: A Systematic Review and Meta-Analysis

“…In clinic, gait speed is usually assessed by measuring the time taken to walk a set distance or the walk distance in a limited time at usual pace. Older people with slow gait speed have been found to be at an increased risk of subsequent disability, falls, cognitive decline, hospitalization, and mortality, as well as stroke and heart failure [47][48][49][50]. Grip strength has been recommended as the most practical method of measuring muscle strength which can predict the measured health outcomes while quadriceps strength can not [51].…”

Feasibility of repeated self-measurements of maximum step length and gait speed by community-dwelling older persons

“…19 Also, single or infrequent evaluations may not be representative of a person's true locomotion ability, because of large within-participant variability in frail older persons. [19][20][21] In our previous research, we already showed that MSL and GS are safe, feasible and reliable self-assessment tools of mobility and fall risk for community-dwelling older persons. 22 However, research on repeatedly measuring MSL and GS over a longer period of time is still lacking.…”

A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly

“…No other measure has proven to be superior to AHI in assessing the overall effect of obstructive sleep apnea. The results presented in Solé-Casals et al, (2014), in terms of Correct Classifications Rate, Sensitivity and Specificity, all above 80% for several classifiers, point out the good potential of voice as a discriminating factor between healthy subjects and severe OSA.…”

“…Emotional Temperature (ET) is another parameter that, combined with other traditional speech parameters, can improve and facilitate the early diagnosis of AD (López-de-Ipiña et al, 2013). In López-de-Ipiña et al (2014), the Fractal Dimension (FD) of the speech signals is combined with linear parameters in the feature vector in order to enhance the performance of the original system while controlling the computational cost. The advantage of using spontaneous speech tests for the early diagnosis of AD is that these are not perceived as stressful.…”