AIMC Topic: Monitoring, Ambulatory

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Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland) Dec 3, 2019
Continuous kinematic monitoring of runners is crucial to inform runners of inappropriate running habits. Motion capture systems are the gold standard for gait analysis, but they are spatially limited to laboratories. Recently, wearable sensors have g...
Young Adult Adult Biomechanical Phenomena Male Wearable Electronic Devices Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Monitoring, Ambulatory Hip Joint Ankle Joint Clothing Textiles Equipment Design Knee Joint Gait Motion Humans
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Wearable Fall Detector Using Recurrent Neural Networks.

Sensors (Basel, Switzerland) Nov 8, 2019
Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous and ubiquitous monitoring systems. The effectiveness for analy...
Humans Neural Networks, Computer Algorithms Accidental Falls Wearable Electronic Devices Monitoring, Ambulatory Accelerometry
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Fusing Object Information and Inertial Data for Activity Recognition.

Sensors (Basel, Switzerland) Sep 23, 2019
In the field of pervasive computing, wearable devices have been widely used for recognizing human activities. One important area in this research is the recognition of activities of daily living where especially inertial sensors and interaction senso...
Monitoring, Ambulatory Humans Machine Learning Algorithms Wearable Electronic Devices Activities of Daily Living
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Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial.

The Journal of arthroplasty Jul 24, 2019
BACKGROUND: Tracking patient-generated health data (PGHD) following total joint arthroplasty (TJA) may enable data-driven early intervention to improve clinical results. We aim to demonstrate the feasibility of combining machine learning (ML) with PG...
Prospective Studies Female Aged Male Middle Aged Humans Machine Learning Algorithms Outcome Assessment, Health Care Range of Motion, Articular Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Monitoring, Ambulatory Pilot Projects Wearable Electronic Devices Signal Processing, Computer-Assisted Knee Joint Postoperative Period Arthroplasty, Replacement, Hip Osteoarthritis, Knee Osteoarthritis, Hip
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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...
Independent Living Focus Groups Linguistics Algorithms Retrospective Studies Remote Sensing Technology Aged Time Factors Humans Gait Health Services for the Aged Surveys and Questionnaires United States Monitoring, Ambulatory Fuzzy Logic National Library of Medicine (U.S.) Natural Language Processing Sample Size
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A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data.

IEEE journal of biomedical and health informatics Jun 11, 2019
Constructing statistical models using personal sensor data could allow for tracking health status over time, thereby enabling the possibility of early intervention. The goal of this study was to use machine learning algorithms to classify patient-rep...
Fitness Trackers Humans Machine Learning Algorithms Cohort Studies Health Status Self Report Telemedicine Heart Diseases Monitoring, Ambulatory
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An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Young Adult Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Case-Control Studies Sepsis Adolescent Machine Learning Algorithms Electronic Health Records Female Reproducibility of Results Multivariate Analysis Humans Incidence Vital Signs Decision Trees Normal Distribution Monitoring, Ambulatory Heart Arrest APACHE
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Artificial Intelligence based facial recognition for Mood Charting among men on life style modification and it's correlation with cortisol.

Asian journal of psychiatry May 11, 2019
UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescents remain one of the most under diagnosed mental health problems. Mood disorders in adolescents also put them at risk for other conditions that may per...
Humans Face Mobile Applications Male Pattern Recognition, Automated Neural Networks, Computer Hydrocortisone Anxiety Neurophysiological Monitoring Adult Saliva Psychiatric Status Rating Scales Affect Depression Monitoring, Ambulatory
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Construction of medical equipment-based doctor health monitoring system.

Journal of medical systems Apr 10, 2019
The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their attention is always on patients, so they are more likely to ignore their own health problems. Therefo...
Cloud Computing Humans Telemetry Wearable Electronic Devices Neural Networks, Computer Health Status Physicians Monitoring, Ambulatory Stress, Psychological Fatigue
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TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition.

IEEE journal of biomedical and health informatics Apr 9, 2019
Human activity recognition has been widely used in healthcare applications such as elderly monitoring, exercise supervision, and rehabilitation monitoring. Compared with other approaches, sensor-based wearable human activity recognition is less affec...
Monitoring, Ambulatory Pattern Recognition, Automated Accelerometry Humans Human Activities Movement Adult Neural Networks, Computer Male Female Middle Aged Young Adult Wearable Electronic Devices
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