Effect of sampling rate on acceleration and counts of hip-and wrist-worn ActiGraph accelerometers in children
Abstract Sampling rate (Hz) of ActiGraph accelerometers may affect processing of
acceleration to activity counts when using a hip-worn monitor, but research is needed to …
acceleration to activity counts when using a hip-worn monitor, but research is needed to …
Physiological and affective computing through thermal imaging: A survey
Y Cho, N Bianchi-Berthouze - arXiv preprint arXiv:1908.10307, 2019 - arxiv.org
Thermal imaging-based physiological and affective computing is an emerging research area
enabling technologies to monitor our bodily functions and understand psychological and …
enabling technologies to monitor our bodily functions and understand psychological and …
[HTML][HTML] Longitudinal changes in children's accelerometer-derived activity pattern metrics
Purpose: The objective of this study was to quantify age-related changes in accelerometer-
derived day-level physical activity and sedentary behavior pattern metrics (ie, number …
derived day-level physical activity and sedentary behavior pattern metrics (ie, number …
Novel insights into molecular signatures and pathogenic cell populations shared by systemic lupus erythematosus and vascular dementia
J Chen, X Zhao, C Huang, J Lin - Functional & Integrative Genomics, 2023 - Springer
Although vascular dementia (VD) and systemic lupus erythematosus (SLE) may share
immune-mediated pathophysiologic processes, the underlying mechanisms are unclear …
immune-mediated pathophysiologic processes, the underlying mechanisms are unclear …
[HTML][HTML] Performance evaluation of state of the art systems for physical activity classification of older subjects using inertial sensors in a real life scenario: A benchmark …
The popularity of using wearable inertial sensors for physical activity classification has
dramatically increased in the last decade due to their versatility, low form factor, and low …
dramatically increased in the last decade due to their versatility, low form factor, and low …
Prediction of combustion activation energy of NaOH/KOH catalyzed straw pyrolytic carbon based on machine learning
W Jiang, X Xing, X Zhang, M Mi - Renewable energy, 2019 - Elsevier
Wheat straw, corn straw and sorghum straw were used as raw materials. KOH and NaOH
were used as catalysts to prepare straw pyrolytic carbon (SPC) and the characteristics of …
were used as catalysts to prepare straw pyrolytic carbon (SPC) and the characteristics of …
[HTML][HTML] Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals
Z Wang, Q Zhang, K Lan, Z Yang, X Gao, A Wu… - Frontiers in …, 2022 - frontiersin.org
Oxygen uptake (VO2) is an important parameter in sports medicine, health assessment and
clinical treatment. At present, more and more wearable devices are used in daily life, clinical …
clinical treatment. At present, more and more wearable devices are used in daily life, clinical …
The impact of different intensities and domains of physical activity on analgesic use and activity limitation in people with low back pain: A prospective cohort study with …
TG Patterson, PR Beckenkamp… - … Journal of Pain, 2022 - Wiley Online Library
Background Analgesics are the most common form of managing low back pain (LBP). No
previous study has examined which domains and intensities of physical activity are most …
previous study has examined which domains and intensities of physical activity are most …
[HTML][HTML] Potential diagnostic markers and biological mechanism for osteoarthritis with obesity based on bioinformatics analysis
Q Li, X Tang, W Li - Plos one, 2023 - journals.plos.org
Numerous observational studies have shown that obesity (OB) is a significant risk factor in
the occurrence and progression of osteoarthritis (OA), but the underlying molecular …
the occurrence and progression of osteoarthritis (OA), but the underlying molecular …
A comparison of different machine learning algorithms, types and placements of activity monitors for physical activity classification
B Sheng, OM Moosman, B Del Pozo-Cruz… - Measurement, 2020 - Elsevier
This study classified physical activities using supervised machine learning (SML) algorithms
based on accelerometer measures. The influences of different types, placements, and …
based on accelerometer measures. The influences of different types, placements, and …