AIMC Topic: Activities of Daily Living

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Deep Learning-Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors.

JMIR mHealth and uHealth Jan 28, 2021
BACKGROUND: Multimodal wearable technologies have brought forward wide possibilities in human activity recognition, and more specifically personalized monitoring of eating habits. The emerging challenge now is the selection of most discriminative inf...
Wearable Electronic Devices Eating Activities of Daily Living Humans Algorithms Deep Learning
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Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Wrist accelerometers for assessing hallmark measures of physical activity (PA) are rapidly growing with the advent of smartwatch technology. Given the growing popularity of wrist-worn accelerometers, there needs to be a rigorous evaluation for recogn...
Deep Learning Adult Humans Energy Metabolism Wrist Activities of Daily Living Male Accelerometry Exercise Female Young Adult
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Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Journal of neuroengineering and rehabilitation Jan 23, 2021
BACKGROUND: Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we repor...
Humans Brain-Computer Interfaces Motor Skills Stroke Rehabilitation Robotics Hand Activities of Daily Living Female Male Middle Aged
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Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Jan 16, 2021
PURPOSE: To (1) develop and validate a machine learning algorithm to predict clinically significant functional improvements after hip arthroscopy for femoroacetabular impingement syndrome and to (2) develop a digital application capable of providing ...
Male Cohort Studies ROC Curve Treatment Outcome Risk Factors Young Adult Adult Retrospective Studies Patient Reported Outcome Measures Female Recovery of Function Humans Arthroscopy Calibration Algorithms Supervised Machine Learning Hip Joint Activities of Daily Living
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Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.

Sensors (Basel, Switzerland) Dec 22, 2020
Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically, artificial ambient intelligence with individualisation to support engagement and motivation. Artificial intelligence must also comply with accountabi...
Activities of Daily Living Physical Therapy Modalities COVID-19 Algorithms Female Male Middle Aged Young Adult Adult Humans Artificial Intelligence Machine Learning
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Using Convolutional Neural Networks with Multiple Thermal Sensors for Unobtrusive Pose Recognition.

Sensors (Basel, Switzerland) Dec 4, 2020
The desire to remain living in one's own home rather than a care home by those in need of 24/7 care is one that requires a level of understanding for the actions of an environment's inhabitants. This can potentially be accomplished with the ability t...
Neural Networks, Computer Monitoring, Physiologic Activities of Daily Living Humans
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Using machine learning-based analytics of daily activities to identify modifiable risk factors for falling in Parkinson's disease.

Parkinsonism & related disorders Nov 19, 2020
BACKGROUND: Although risk factors that lead to falling in Parkinson's disease (PD) have been previously studied, the established predictors are mostly non-modifiable. A novel method for fall risk assessment may provide more insight into preventable h...
Female Risk Factors Aged Risk Assessment Antiparkinson Agents Accidental Falls Parkinson Disease Severity of Illness Index Models, Theoretical Postural Balance Humans Age Factors Male Supervised Machine Learning Prognosis Activities of Daily Living Middle Aged
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Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke.

IEEE transactions on bio-medical engineering Nov 19, 2020
OBJECTIVE: This randomized controlled feasibility study investigates the ability for clinical application of the Brain-Computer Interface-based Soft Robotic Glove (BCI-SRG) incorporating activities of daily living (ADL)-oriented tasks for stroke reha...
Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation Humans Treatment Outcome Stroke Robotics Activities of Daily Living Electroencephalography
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Replicating dynamic humerus motion using an industrial robot.

PloS one Nov 9, 2020
Transhumeral percutaneous osseointegrated prostheses provide upper-extremity amputees with increased range of motion, more natural movement patterns, and enhanced proprioception. However, direct skeletal attachment of the endoprosthesis elevates the ...
Osseointegration Range of Motion, Articular Humans Humerus Bone-Implant Interface Biomechanical Phenomena Amputees Prosthesis Design Robotics Artificial Limbs Activities of Daily Living Kinetics
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Robot-Assisted Arm Training versus Therapist-Mediated Training after Stroke: A Systematic Review and Meta-Analysis.

Journal of healthcare engineering Oct 27, 2020
BACKGROUND: More than two-thirds of stroke patients have arm motor impairments and function deficits on hospital admission, leading to diminished quality of life and reduced social participation. Robot-assisted training (RAT) is a promising rehabilit...
Humans Quality of Life Arm Robotics Stroke Rehabilitation Stroke Activities of Daily Living
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