[HTML][HTML] Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches
Background Objective measures using accelerometer-based activity monitors have been
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …
[HTML][HTML] Objectively measured physical activity is associated with frailty in community-dwelling older adults: A systematic review
APL Tolley, KA Ramsey, AGM Rojer… - Journal of clinical …, 2021 - Elsevier
Objective The later-age shift towards physical inactivity and sedentary behaviour is
associated with comorbidity and reduced function: markers of frailty. Whether these …
associated with comorbidity and reduced function: markers of frailty. Whether these …
[HTML][HTML] Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning
Currently, many critical care indices are not captured automatically at a granular level, rather
are repetitively assessed by overburdened nurses. In this pilot study, we examined the …
are repetitively assessed by overburdened nurses. In this pilot study, we examined the …
Assessment of physical activity in adults using wrist accelerometers
The health benefits of physical activity (PA) have been widely recognized, yet traditional
measures of PA, including questionnaires and category-based assessments of volume and …
measures of PA, including questionnaires and category-based assessments of volume and …
[HTML][HTML] Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: a systematic scoping review
A Narayanan, F Desai, T Stewart… - … of Physical Activity …, 2020 - journals.humankinetics.com
Background: Application of machine learning for classifying human behavior is increasingly
common as access to raw accelerometer data improves. The aims of this scoping review are …
common as access to raw accelerometer data improves. The aims of this scoping review are …
[HTML][HTML] Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms
Purpose Machine-learning (ML) approaches have been repeatedly coupled with raw
accelerometry to classify physical activity classes, but the features required to optimize their …
accelerometry to classify physical activity classes, but the features required to optimize their …
Objective and subjective measurement of sedentary behavior in human adults: A toolkit
Abstract Objectives Objectives: Human biologists are increasingly interested in measuring
and comparing physical activities in different societies. Sedentary behavior, which refers to …
and comparing physical activities in different societies. Sedentary behavior, which refers to …
[HTML][HTML] Association between daily pattern of physical activity and depression: a systematic review
Recent research suggested that daily pattern of physical activity (PA) may have an important
association with depression, but findings are limited and contradictory. Our aim was to …
association with depression, but findings are limited and contradictory. Our aim was to …
[HTML][HTML] Comparing national device-based physical activity surveillance systems: a systematic review
Background Physical activity surveillance systems are important for public health monitoring
but rely mostly on self-report measurement of physical activity. Integration of device-based …
but rely mostly on self-report measurement of physical activity. Integration of device-based …
Urban vitality and seniors' outdoor rest time in Barcelona
Immobility and lack of physical activity (PA) are global problems among seniors (≥ 65 years
old). While being active is preferable to not doing physical activity, not leaving the house for …
old). While being active is preferable to not doing physical activity, not leaving the house for …