AIMC Topic: Accelerometry

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Smartphone-Based Balance Assessment Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study explores the potential of smartphones to objectively assess balance, which is crucial for the elderly and individuals recovering from various medical conditions. We propose an innovative methodology to estimate the Modified Clinical Test o...
Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Telemedicine Male Accelerometry Humans Machine Learning Middle Aged Algorithms Smartphone Female Postural Balance
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Deep Learning-Based Subject Independent Human Activity Recognition using Smart Lacelock Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Human Activity Recognition (HAR) field is rapidly growing and the classification of human activities based on sensor data is crucial for applications in healthcare, rehabilitation and numerous other sectors. In this paper we use a novel device and at...
Neural Networks, Computer Shoes Algorithms Humans Deep Learning Wearable Electronic Devices Accelerometry Human Activities
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Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost Inertial Measurement Units.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Generally, inertial measurement unit can measure the acceleration and angular velocity of an object in three-dimensional space, and use this to calculate the object's attitude and movement trajectory. In particular, motion trajectories can be applied...
Wearable Electronic Devices Accelerometry Convolutional Neural Networks
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Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Fetal movement is a commonly monitored indicator of fetal wellbeing with reductions in fetal movement being associated with poor perinatal outcomes. However, more informative datasets of fetal movement are required for improved clinical decision maki...
Acceleration Accelerometry Fetal Monitoring Abdomen Random Forest Fetal Movement Machine Learning Algorithms Pregnancy Female Adult ROC Curve Humans
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Integrating Wearable Sensor Technology and Machine Learning for Objective m-CTSIB Balance Score Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study marks the first endeavor to utilize wearable technology combined with machine learning to objectively assess the Modified Clinical Test of Sensory Interaction on Balance (m-CTSIB). We focus on developing an affordable, easily accessible me...
Female Aged Aged, 80 and over Humans Machine Learning Postural Balance Accelerometry Male Young Adult Middle Aged Adult Wearable Electronic Devices
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Fatigue Detection with Machine Learning Approaches using Data from Wearable Devices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Severe and chronic fatigue is one of the top symptoms in patients with non-communicable chronic immune-mediated inflammatory diseases like Systemic Lupus Erythematosus (SLE) and Sjögren's disease (SjD). The majority of fatigue assessment approaches r...
Humans Lupus Erythematosus, Systemic Machine Learning Accelerometry Female Fatigue Adult Male Middle Aged Wearable Electronic Devices
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Enhancing Wearable Sensor Data Classification Through Novel Modified- Recurrent Plot-Based Image Representation and Mixup Augmentation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Deep learning advancements have revolutionized scalable classification in many domains including computer vision, healthcare and Natural Language Processing (NLP). However, when it comes to classification and domain adaptation based on wearables, it ...
Natural Language Processing Accelerometry Fourier Analysis Humans Deep Learning Wearable Electronic Devices
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Single Accelerometer to Recognize Human Activities Using Neural Networks.

Journal of biomechanical engineering Jun 1, 2023
Exoskeletons have decreased physical effort and increased comfort in activities of daily living (ADL) such as walking, squatting, and running. However, this assistance is often activity specific and does not accommodate a wide variety of different ac...
Human Activities Machine Learning Activities of Daily Living Accelerometry Humans Neural Networks, Computer
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Individual versus Group Calibration of Machine Learning Models for Physical Activity Assessment Using Body-Worn Accelerometers.

Medicine and science in sports and exercise Dec 1, 2021
PURPOSE: We sought to determine if individually calibrated machine learning models yielded higher accuracy than a group calibration approach for physical activity intensity assessment.
Male Humans Middle Aged Machine Learning Young Adult Accelerometry Female Exercise Adult Aged
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Bathroom activities monitoring for older adults by a wrist-mounted accelerometer using a hybrid deep learning model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Monitoring activities of daily life (ADLs) allows to evaluate health conditions for older adults. However, there are still a limited number of studies on bathroom activities monitoring using a wrist-mounted accelerometer. To fill this gap, in this st...
Accelerometry Aged Humans Toilet Facilities Deep Learning Neural Networks, Computer Wrist
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