Measuring and understanding the health impact of greater fatigability in older adults: a call to action and opportunities
Different from fatigue, an instantaneous state of tiredness, weakness and lack of energy,
fatigability is a trait that contextualizes whole-body fatigue to the level of activity (ie, intensity …
fatigability is a trait that contextualizes whole-body fatigue to the level of activity (ie, intensity …
Rest-activity rhythm disruption and metabolic health in schizophrenia: a cross-sectional actigraphy study of community-dwelling people living with schizophrenia and …
Z Mahmood, A Ramsey, N Kidambi… - Journal of Clinical …, 2024 - jcsm.aasm.org
Study Objectives: People living with schizophrenia (PLWS) have increased physical
comorbidities and premature mortality which may be linked to dysregulated rest-activity …
comorbidities and premature mortality which may be linked to dysregulated rest-activity …
Age Is Associated With Dampened Circadian Patterns of Rest and Activity: The Study of Muscle, Mobility, and Aging (SOMMA)
ML Erickson, TL Blackwell, T Mau… - The Journals of …, 2024 - academic.oup.com
Background The effects of aging on circadian patterns of behavior are insufficiently
described. To address this, we characterized age-specific features of rest-activity rhythms …
described. To address this, we characterized age-specific features of rest-activity rhythms …
Perceived Physical and Mental Fatigability in Older Adults with and without Multiple Sclerosis
DH Luo, R Holtzer - Multiple Sclerosis and Related Disorders, 2024 - Elsevier
Background Fatigue stands out as a prevalent and debilitating symptom in both Multiple
Sclerosis (MS) and the aging population. Traditional methods for measuring perceived …
Sclerosis (MS) and the aging population. Traditional methods for measuring perceived …
Comparative study on improved support vector machine and random forest classifier for efficient classification of music genre based on accuracy
K Rajyalakshmi, M Gunasekaran - AIP Conference Proceedings, 2024 - pubs.aip.org
The purpose of this study is to apply machine learning methods to the problem of classifying
musical genres. Here, signal processing is used to extract the rhythm pattern feature, which …
musical genres. Here, signal processing is used to extract the rhythm pattern feature, which …