AIMC Topic: Accidental Falls
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Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults.
The journals of gerontology. Series A, Biological sciences and medical sciences
Mar 31, 2021
BACKGROUND: Advances in computational algorithms and the availability of large datasets with clinically relevant characteristics provide an opportunity to develop machine learning prediction models to aid in diagnosis, prognosis, and treatment of old...
Fall Detector Adapted to Nursing Home Needs through an Optical-Flow based CNN.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Fall detection in specialized homes for the elderly is challenging. Vision-based fall detection solutions have a significant advantage over sensor-based ones as they do not instrument the resident who can suffer from mental diseases. This work is par...
Detecting falls and estimation of daily habits with depth images using machine learning algorithms.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Different approaches have been proposed in the literature to detect the fall of an elderly person. In this paper, we propose a fall detection method based on the classification of parameters extracted from depth images. Three supervised learning meth...
The Purpose of Bedside Robots: Exploring the Needs of Inpatients and Healthcare Professionals.
Computers, informatics, nursing : CIN
Jan 1, 2020
Robotic systems are used to support inpatients and healthcare professionals and to improve the efficiency and quality of nursing. There is a lack of scientific literature on how applied robotic systems can be used to support inpatients. This study us...
Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.
Geriatrie et psychologie neuropsychiatrie du vieillissement
Dec 1, 2019
Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on anticoagulation to prevent stroke and systemic arterial embolism. Vitamin K antagonists (VKAs) have long been the only anticoagulants available for the man...
Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.
Studies in health technology and informatics
Aug 21, 2019
Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardized fall risk assessments often require supplemental data collection and tend to have low specificity...
Scoring Patient Fall Reports Using Quality Rubric and Machine Learning.
Studies in health technology and informatics
Aug 21, 2019
Patient falls, a subcategory of patient safety events, cause further harm and anxiety to patients in healthcare systems. Patient fall reports are a valuable resource to identify safety issues that demand further attention. Still, the main challenge f...
Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2019
OBJECTIVE: Geriatric syndromes such as functional disability and lack of social support are often not encoded in electronic health records (EHRs), thus obscuring the identification of vulnerable older adults in need of additional medical and social s...
Fall Detection for the Elderly Based on 3-Axis Accelerometer and Depth Sensor Fusion with Random Forest Classifier.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
In this paper, we propose a new fall detection method that combines 3-axis accelerometer and depth sensors. By combining vision and acceleration-derived features we managed to minimize the false detection rate that is considerably higher when the dec...
Deep Learning based Gait Abnormality Detection using Wearable Sensor System.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Gait is an extraordinary complex function of human body that involves the activation of entire visceral nervous system, making human gait definite to various functional abnormalities. Diagnosis and treatment of such disorders prior to their developme...
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