AIMC Topic: Independent Living

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Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective approach to cardiovascular disease...
Deep Learning Models, Theoretical Electrocardiography Health Status Independent Living Humans Machine Learning Forecasting Aged
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Voice-Controlled Intelligent Personal Assistants to Support Aging in Place.

Journal of the American Geriatrics Society Oct 16, 2019
BACKGROUND/OBJECTIVES: Many older adults wish to age in place, and voice-controlled intelligent personal assistants (VIPAs; eg, Amazon Echo and Google Home) potentially could support unmet home needs. No prior studies have researched the real-world u...
Inventions Caregivers Independent Living Home Care Services Voice User-Computer Interface Emotions Internet Review Literature as Topic Humans Artificial Intelligence Retrospective Studies Female Aged Communication Male
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Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study.

Experimental gerontology Sep 11, 2019
INTRODUCTION: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between gait parameters and falls incidence. However, a...
Humans Algorithms Female Aged Supervised Machine Learning Independent Living Aged, 80 and over Accidental Falls Male Longitudinal Studies Risk Assessment Postural Balance Pilot Projects Walking Gait
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Home care aides' observations and machine learning algorithms for the prediction of visits to emergency departments by older community-dwelling individuals receiving home care assistance: A proof of concept study.

PloS one Aug 13, 2019
BACKGROUND: Older individuals receiving home assistance are at high risk for emergency visits and unplanned hospitalization. Anticipating their health difficulties could prevent these events. This study investigated the effectiveness of an at-home mo...
Home Health Aides Male Surveys and Questionnaires Female Frail Elderly Hospitalization Predictive Value of Tests Humans Aged Machine Learning Emergency Service, Hospital Aged, 80 and over Algorithms Geriatric Assessment Prospective Studies Proof of Concept Study Independent Living Home Care Services
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Community-dwelling older adults' needs and acceptance regarding the use of robot technology to assist with daily living performance.

BMC geriatrics Aug 5, 2019
BACKGROUND: The rate of aging in Korea is extremely fast compared to major countries. We examined the key demands of community-dwelling older adults with regard to Connected Active Space technology, which provides tailored assistance with daily livin...
Aged, 80 and over Male Aging Qualitative Research Surveys and Questionnaires Humans Republic of Korea Female Aged Patient Acceptance of Health Care Robotics Activities of Daily Living Health Services Needs and Demand Independent Living
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Assistive robots to improve the independent living of older persons: results from a needs study.

Disability and rehabilitation. Assistive technology Jul 22, 2019
BACKGROUND: More than 70% of elderly people age 80 and older are experiencing problems in personal mobility. Assistive robotics can represent a concrete support providing also a support for caregivers, clinicians and nurses by reducing their burden.
Health Knowledge, Attitudes, Practice Robotics Italy Activities of Daily Living Caregivers Independent Living Self-Help Devices Needs Assessment Health Services for the Aged Humans Aged Aged, 80 and over Middle Aged
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Linguistic summarization of in-home sensor data.

Journal of biomedical informatics Jun 28, 2019
INTRODUCTION: With the increase in the population of older adults around the world, a significant amount of work has been done on in-home sensor technology to aid the elderly age independently. However, due to the large amounts of data generated by t...
Surveys and Questionnaires Health Services for the Aged National Library of Medicine (U.S.) Time Factors United States Independent Living Humans Fuzzy Logic Focus Groups Algorithms Natural Language Processing Linguistics Retrospective Studies Sample Size Aged Remote Sensing Technology Gait Monitoring, Ambulatory
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Reliability and acceptability of using a social robot to carry out cognitive tests for community-dwelling older adults.

Geriatrics & gerontology international Mar 18, 2019
AIM: To improve access to cognitive testing for older adults, the reliability and acceptability of a speech-based cognitive test administered by a social robot were investigated.
Humans Female Reproducibility of Results Aged Aged, 80 and over Male Independent Living Robotics Geriatric Assessment Japan Cognition Disorders
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Identifying Features that Enhance Older Adults' Acceptance of Robots: A Mixed Methods Study.

Gerontology Mar 7, 2019
BACKGROUND: With global aging, robots are considered a promising solution for handling the shortage of aged care and companionships. However, these technologies would serve little purpose if their intended users do not accept them. While the socioemo...
Aged Aged, 80 and over Male Middle Aged Social Support Humans Technology Female Attitude Independent Living Qualitative Research Psychological Theory Taiwan Robotics Activities of Daily Living
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Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.

Human brain mapping Feb 25, 2019
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diag...
Diffusion Tensor Imaging Independent Living Multiparametric Magnetic Resonance Imaging Male Middle Aged Cognitive Dysfunction Models, Theoretical Alzheimer Disease Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning
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