AIMC Topic: Accelerometry
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The Impact of Physical Activity on Serum Inflammatory Markers in Overweight Pubertal Boys: 24-Month Follow-Up Study.
Pediatric exercise science
Dec 23, 2017
PURPOSE: To investigate the differences in the pattern of changes in serum inflammatory cytokines measured annually over a 24-month period, between less active and more active overweight boys.
An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection.
Sensors (Basel, Switzerland)
Dec 22, 2017
The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding window (FOSW) approaches are the most commonly used data-segmentation techniques in machine learning-based fall detection using accelerometer sensors. However, th...
A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.
IEEE journal of biomedical and health informatics
Nov 27, 2017
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment R...
Performance of thigh-mounted triaxial accelerometer algorithms in objective quantification of sedentary behaviour and physical activity in older adults.
PloS one
Nov 20, 2017
Accurate monitoring of sedentary behaviour and physical activity is key to investigate their exact role in healthy ageing. To date, accelerometers using cut-off point models are most preferred for this, however, machine learning seems a highly promis...
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions.
PloS one
Sep 7, 2017
BACKGROUND: Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. The a...
Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.
PloS one
Jul 5, 2017
Falls are a major cause of injuries and deaths in older adults. Even when no injury occurs, about half of all older adults who fall are unable to get up without assistance. The extended period of lying on the floor often leads to medical complication...
A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms.
Gait & posture
Jun 24, 2017
The conventional methods to assess human gait are either expensive or complex to be applied regularly in clinical practice. To reduce the cost and simplify the evaluation, inertial sensors and adaptive algorithms have been utilized, respectively. Thi...
Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks.
IEEE journal of biomedical and health informatics
Jun 8, 2017
Atopic dermatitis is a chronic inflammatory skin condition affecting both children and adults and is associated with pruritus. A method for objectively quantifying nocturnal scratching events could aid in the development of therapies for atopic derma...
Feature selection for elderly faller classification based on wearable sensors.
Journal of neuroengineering and rehabilitation
May 30, 2017
BACKGROUND: Wearable sensors can be used to derive numerous gait pattern features for elderly fall risk and faller classification; however, an appropriate feature set is required to avoid high computational costs and the inclusion of irrelevant featu...
Driver behavior profiling: An investigation with different smartphone sensors and machine learning.
PloS one
Apr 10, 2017
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving da...
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