AIMC Topic: Accidental Falls

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Bed-Exit Prediction Applying Neural Network Combining Bed Position Detection and Patient Posture 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, 2019
The work of a nurse involves tasks that can lead to serious accidents with a single mistake or miss, and thus nurses are exposed to high stress. In particular, injections, pre-medications, tube connections, and falling are factors that lead to seriou...
Risk Assessment Accidental Falls Posture Humans Neural Networks, Computer Aged Activities of Daily Living Movement Beds
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[Support for Patients and Their Family Using Artificial Intelligence].

Brain and nerve = Shinkei kenkyu no shinpo Jul 1, 2019
For patients with dementia and their family, artificial intelligence (AI) has been utilized to support diagnosis and evaluation. In addition, communication robots equipped with AI offer a way to maintain the cognitive functions of patients with demen...
Communication Quality of Life Accidental Falls Dementia Cognition Robotics Humans Artificial Intelligence
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Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.

Medical care Jul 1, 2019
BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility o...
Algorithms Retrospective Studies Electronic Health Records Risk Assessment Humans Accidental Falls Machine Learning Female Emergency Service, Hospital Aged Male
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Pre-Impact Fall Detection Using 3D Convolutional Neural Network.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Early fall detection is an important issue during gait rehabilitation training. This paper proposes an approach for pre-impact fall detection during gait rehabilitation training based on a 3D convolutional neural network (CNN). Firstly, pre-training ...
Accidental Falls Gait Rehabilitation Female Male Humans Neural Networks, Computer Algorithms
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Robot-based assessment of sitting and standing balance: preliminary results in Parkinson's disease.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Postural responses to unstable conditions or perturbations are important predictors of the risk of falling and can reveal balance deficits in people with neurological disorders, such as Parkinson's Disease (PD). However, there is a lack of evidences ...
Postural Balance Standing Position Sitting Position Parkinson Disease Robotics Humans Female Aged Male Middle Aged Accidental Falls
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Characteristics of Transactive Relationship Phenomena among Older adults, Care Workers as Intermediaries, and the Pepper Robot with Care Prevention Gymnastics Exercises.

The journal of medical investigation : JMI Jan 1, 2019
Healthcare for older adults is a significant problem in Japan and in other developed countries. To address this problem, healthcare robots, now realized, can assist and meet healthcare and welfare practice demands. The aim of this study was to clarif...
Accidental Falls Health Personnel Humans Robotics Aged Gymnastics Exercise
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Co-Saliency-Enhanced Deep Recurrent Convolutional Networks for Human Fall Detection in E-Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
This paper addresses the issue of fall detection from videos for e-healthcare and assisted-living. Instead of using conventional hand-crafted features from videos, we propose a fall detection scheme based on co-saliency-enhanced recurrent convolution...
Humans Neural Networks, Computer Deep Learning Accidental Falls Video Recording
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Design and analysis of a novel fall prevention device for lower limbs rehabilitation robot.

Journal of back and musculoskeletal rehabilitation Feb 6, 2018
BACKGROUND: Most stroke survivors are suffering from physical motor impairments and confronting with the risk of falls, and well trunk stability is essential for balance during daily functional activities.
Stroke Rehabilitation Torso Lower Extremity Robotics Equipment Design Middle Aged Accidental Falls Aged Biomechanical Phenomena Male Humans Female
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Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language Processing.

Studies in health technology and informatics Jan 1, 2018
Falls are generally classified into two groups in clinical settings in Japan: falls from the same level and falls from one level to another. We verified whether clinical staff could distinguish between these two types of falls by comparing 3,078 free...
Accidental Falls Natural Language Processing Risk Management Humans Machine Learning Japan
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Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines.

Computers, informatics, nursing : CIN Aug 1, 2017
We constructed a model using a support vector machine to determine whether an inpatient will suffer a fall on a given day, depending on patient status on the previous day. Using fall report data from our own facility and intensity-of-nursing-care-nee...
Hospitals Female Humans Support Vector Machine Accidental Falls Electronic Health Records Male Inpatients Risk Assessment Nurse's Role
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