AIMC Topic: Accelerometry
Clear Filters Showing 171 to 180 of 261 articles
"You can tell by the way I use my walk." Predicting the presence of cognitive load with gait measurements.
Biomedical engineering online
Sep 12, 2018
BACKGROUND: There is considerable evidence that a person's gait is affected by cognitive load. Research in this field has implications for understanding the relationship between motor control and neurological conditions in aging and clinical populati...
Smartwatch User Interface Implementation Using CNN-Based Gesture Pattern Recognition.
Sensors (Basel, Switzerland)
Sep 7, 2018
In recent years, with an increase in the use of smartwatches among wearable devices, various applications for the device have been developed. However, the realization of a user interface is limited by the size and volume of the smartwatch. This study...
Activity-aware essential tremor evaluation using deep learning method based on acceleration data.
Parkinsonism & related disorders
Aug 8, 2018
BACKGROUND: Essential tremor (ET), one of the most common neurological disorders is typically evaluated with validated rating scales which only provide a subjective assessment during a clinical visit, underestimating the fluctuations tremor during di...
Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerometer.
Journal of biomechanics
Jun 18, 2018
Wearable technology has been viewed as one of the plausible alternatives to capture human motion in an unconstrained environment, especially during running. However, existing methods require kinematic and kinetic measurements of human body segments a...
Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data.
The Journal of experimental biology
May 23, 2018
Accelerometers are becoming ever more important sensors in animal-attached technology, providing data that allow determination of body posture and movement and thereby helping to elucidate behaviour in animals that are difficult to observe. We sought...
Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning?
International journal of sports physiology and performance
May 22, 2018
PURPOSE: Machine learning may contribute to understanding the relationship between the external load and internal load in professional soccer. Therefore, the relationship between external load indicators (ELIs) and the rating of perceived exertion (R...
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Scientific reports
May 21, 2018
Current public health guidelines on physical activity and sleep duration are limited by a reliance on subjective self-reported evidence. Using data from simple wrist-worn activity monitors, we developed a tailored machine learning model, using balanc...
Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.
Computers in biology and medicine
Feb 15, 2018
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurement of tremor severity is essential in prescribing appropriate treatment to relieve its symptoms. We propose a tremor assessment system based on the u...
A general framework for sensor-based human activity recognition.
Computers in biology and medicine
Jan 4, 2018
Today's wearable devices like smartphones, smartwatches and intelligent glasses collect a large amount of data from their built-in sensors like accelerometers and gyroscopes. These data can be used to identify a person's current activity and in turn ...
Calibration of raw accelerometer data to measure physical activity: A systematic review.
Gait & posture
Dec 30, 2017
Most of calibration studies based on accelerometry were developed using count-based analyses. In contrast, calibration studies based on raw acceleration signals are relatively recent and their evidences are incipient. The aim of the current study was...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31032
- Neural Networks, Computer 29717
- Algorithms 26831
- Deep Learning 26345
- Artificial Intelligence 24290
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9110
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4770
- Support Vector Machine 4686
- Computational Biology 4236
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5940
- Sensors (Basel, Switzerland) 4794
- PloS one 4015
- Neural networks : the official journal of the International Neural Network Society 2929
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1854
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1130
- Journal of chemical information and modeling 998
- Nature communications 943
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826