[HTML][HTML] Persuasive technology in an mHealth app designed for pelvic floor muscle training among women: systematic review

A Jaffar, CE Tan, S Mohd-Sidik… - JMIR mHealth and …, 2022 - mhealth.jmir.org
Background Pelvic floor muscle training (PFMT) is one of the first-line treatments for stress
urinary incontinence among pregnant women. Mobile health (mHealth) technology is …

The influence of feature representation of text on the performance of document classification

S Martinčić-Ipšić, T Miličić, L Todorovski - Applied Sciences, 2019 - mdpi.com
In this paper we perform a comparative analysis of three models for a feature representation
of text documents in the context of document classification. In particular, we consider the …

[HTML][HTML] Comparison of the validity and generalizability of machine learning algorithms for the prediction of energy expenditure: validation study

R O'Driscoll, J Turicchi, M Hopkins… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Accurate solutions for the estimation of physical activity and energy
expenditure at scale are needed for a range of medical and health research fields. Machine …

Usefulness of motion sensors to estimate energy expenditure in children and adults: a narrative review of studies using DLW

LB Sardinha, PB Judice - European journal of clinical nutrition, 2017 - nature.com
It is well documented that meeting moderate-to-vigorous physical activity guidelines of 150
min per week is protective against chronic disease, and this is likely explained by higher …

Assessment of 24-hour physical behaviour in adults via wearables: a systematic review of validation studies under laboratory conditions

M Giurgiu, S Ketelhut, C Kubica, R Nissen… - International journal of …, 2023 - Springer
Background Wearable technology is used by consumers and researchers worldwide for
continuous activity monitoring in daily life. Results of high-quality laboratory-based …

Application and validation of activity monitors' epoch lengths and placement sites for physical activity assessment in exergaming

J Hwang, AM Fernandez, AS Lu - Journal of clinical medicine, 2018 - mdpi.com
We assessed the agreement of two ActiGraph activity monitors (wGT3X vs. GT9X) placed at
the hip and the wrist and determined an appropriate epoch length for physical activity levels …

Comparison of children's free-living physical activity derived from wrist and hip raw accelerations during the segmented week

RJ Noonan, LM Boddy, Y Kim, ZR Knowles… - Journal of Sports …, 2017 - Taylor & Francis
This study assessed children's physical activity (PA) levels derived from wrist-worn
GENEActiv and hip-worn ActiGraph GT3X+ accelerometers and examined the comparability …

Deep multi-branch two-stage regression network for accurate energy expenditure estimation with ECG and IMU data

Z Ni, T Wu, T Wang, F Sun, Y Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: Energy Expenditure (EE) estimation plays an important role in objectively
evaluating physical activity and its impact on human health. EE during activity can be …

Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data

S Giri, R Brondeel, T El Aarbaoui, B Chaix - International Journal of Health …, 2022 - Springer
Background There has been an increased focus on active transport, but the measurement of
active transport is still difficult and error-prone. Sensor data have been used to predict active …

On placement, location and orientation of wrist-worn tri-axial accelerometers during free-living measurements

M Straczkiewicz, NW Glynn, J Harezlak - Sensors, 2019 - mdpi.com
Wearable accelerometers have recently become a standalone tool for the objective
assessment of physical activity (PA). In free-living studies, accelerometers are placed by …