AIMC Topic: Accelerometry

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Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer.

PloS one Feb 15, 2017
Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over weeks and months based on questionnaires, which may not accurately map ...
Accelerometry Parkinson Disease Walking Activities of Daily Living Humans Female Aged Aged, 80 and over Male Middle Aged Support Vector Machine
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In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury.

Journal of neuroengineering and rehabilitation Feb 6, 2017
BACKGROUND: Although commercially available activity trackers can aid in tracking therapy and recovery of patients, most devices perform poorly for patients with irregular movement patterns. Standard machine learning techniques can be applied on reco...
Humans Machine Learning Female Monitoring, Ambulatory Accelerometry Spinal Cord Injuries Movement Adult Male Posture Walking
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High Amounts of Sitting, Low Cardiorespiratory Fitness, and Low Physical Activity Levels: 3 Key Ingredients in the Recipe for Influencing Metabolic Syndrome Prevalence.

American journal of health promotion : AJHP Dec 22, 2016
PURPOSE: Limited research has evaluated the independent and additive associations of moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and cardiorespiratory fitness (CRF) with metabolic syndrome, which was the purpose of this st...
Adiposity Cardiorespiratory Fitness Accelerometry Sedentary Behavior Logistic Models Nutrition Surveys Blood Pressure Metabolic Syndrome Oxygen Consumption Lipids Exercise Test Exercise Prevalence Blood Glucose Humans Female Young Adult Sitting Position Adult Cross-Sectional Studies Male Middle Aged
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Supporting One-Time Point Annotations for Gesture Recognition.

IEEE transactions on pattern analysis and machine intelligence Dec 8, 2016
This paper investigates a new annotation technique that reduces significantly the amount of time to annotate training data for gesture recognition. Conventionally, the annotations comprise the start and end times, and the corresponding labels of gest...
Humans Accelerometry Algorithms Image Processing, Computer-Assisted Wearable Electronic Devices Gestures Supervised Machine Learning Video Recording Pattern Recognition, Automated
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Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Dec 8, 2016
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double-integration approaches to extract these parameters from inertial sensor data are, however, limited in their...
Humans Neural Networks, Computer Gait Accelerometry Foot Machine Learning Regression Analysis Signal Processing, Computer-Assisted Walking
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Using Contact Forces and Robot Arm Accelerations to Automatically Rate Surgeon Skill at Peg Transfer.

IEEE transactions on bio-medical engineering Dec 2, 2016
OBJECTIVE: Most trainees begin learning robotic minimally invasive surgery by performing inanimate practice tasks with clinical robots such as the Intuitive Surgical da Vinci. Expert surgeons are commonly asked to evaluate these performances using st...
Man-Machine Systems Robotic Surgical Procedures Stress, Mechanical Task Performance and Analysis Accelerometry Humans Surgeons Clinical Competence
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Accelerometer and Camera-Based Strategy for Improved Human Fall Detection.

Journal of medical systems Oct 29, 2016
In this paper, we address the problem of detecting human falls using anomaly detection. Detection and classification of falls are based on accelerometric data and variations in human silhouette shape. First, we use the exponentially weighted moving a...
Monitoring, Ambulatory Algorithms Pattern Recognition, Automated Accidental Falls Accelerometry Humans Support Vector Machine Machine Learning Bayes Theorem
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Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors.

BioMed research international Oct 27, 2016
Occupational musculoskeletal disorders, particularly chronic low back pain (LBP), are ubiquitous due to prolonged static sitting or nonergonomic sitting positions. Therefore, the aim of this study was to develop an instrumented chair with force and a...
Adult Sensitivity and Specificity Male Middle Aged Posture Postural Balance Equipment Design Pattern Recognition, Automated Algorithms Female Reproducibility of Results Movement Young Adult Transducers, Pressure Humans Accelerometry Buttocks Actigraphy Machine Learning Equipment Failure Analysis
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Activity Recognition for Diabetic Patients Using a Smartphone.

Journal of medical systems Oct 8, 2016
Diabetes is a disease that has to be managed through appropriate lifestyle. Technology can help with this, particularly when it is designed so that it does not impose an additional burden on the patient. This paper presents an approach that combines ...
Accelerometry Motor Activity Electrocardiography Diabetes Mellitus Monitoring, Ambulatory Humans Machine Learning Algorithms Geographic Information Systems Smartphone
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Ambulatory activity classification with dendogram-based support vector machine: Application in lower-limb active exoskeleton.

Gait & posture Aug 21, 2016
Ambulatory activity classification is an active area of research for controlling and monitoring state initiation, termination, and transition in mobility assistive devices such as lower-limb exoskeletons. State transition of lower-limb exoskeletons r...
Exoskeleton Device Algorithms Young Adult Adult Humans Support Vector Machine Lower Extremity Walking Pressure Accelerometry
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