AIMC Journal:
ieee-embc

Showing 1121 to 1130 of 1686 articles

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...
Acceleration Monitoring, Ambulatory Algorithms Accelerometry Accidental Falls Humans Machine Learning
View on PubMed DOI

Clustering Continuous Wavelet Transform Characteristics of Heart Rate Variability through Unsupervised Learning.

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 analysis and interpretation of physiological signals acquired non-invasively are increasingly important in Smart Health, precision medicine, and medical research. However, this analysis is hampered due to the length, complexity, and inter-subject...
Heart Rate Wavelet Analysis Cluster Analysis Unsupervised Machine Learning Humans Electrocardiography
View on PubMed DOI

EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia.

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
This paper presents the design of a machine learning-based classifier for the differentiation between Schizophrenia patients and healthy controls using features extracted from electroencephalograph(EEG) signals based on event related potential(ERP). ...
Algorithms Schizophrenia Support Vector Machine Electroencephalography Evoked Potentials Humans Machine Learning
View on PubMed DOI

Comparison of Extreme Learning Machine and K-Nearest Neighbour Performance in Classifying EEG Signal of Normal, Poor and Capable Dyslexic Children.

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
Dyslexia is a specific learning difficulty associated with brain capability in processing numbers and letters. Analysis of Electroencephalogram (EEG) could provide insight information on differences in brain processing. In this work, two machine lear...
Writing Child Electroencephalography Dyslexia Cluster Analysis Humans Machine Learning
View on PubMed DOI

Deep Learning for Automating the Organization of Institutional Dermatology Image Stores.

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
A common challenge faced by researchers associated with healthcare institutions is that data of interest are often contained in electronic medical informatics systems that are centered on optimizing clinician/clinician and patient/clinician communica...
Skin Diseases Dermatology Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

Automated Classification of Airborne Pollen using Neural Networks.

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
Pollen allergies are considered as a global epidemic nowadays, as they influence more than a quarter of the worldwide population, with this percentage expected to rapidly increase because of ongoing climate change. To date, alerts on high-risk allerg...
Germany Pollen Seasons Allergens Forecasting Environmental Monitoring Neural Networks, Computer
View on PubMed DOI

Design of the Clutched Variable Parallel Elastic Actuator (CVPEA) for Lower Limb Exoskeletons.

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 paper presents a novel clutched variable parallel elastic actuator (CVPEA) mainly consisting of a motor and a flat spiral spring in parallel to actuate the hip of lower limb exoskeletons in sagittal plane. To minimize the power and torque require...
Torque Orthotic Devices Walking Gait Exoskeleton Device Humans Biomechanical Phenomena Robotics Equipment Design Lower Extremity
View on PubMed DOI

Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.

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
Early prediction of diseased brain conditions is critical for curing illness and preventing irreversible neuronal dysfunction and loss. Generically regarding the different neuroimaging modalities as filtered, complementary insights of brain's anatomi...
Forecasting Brain Disease Progression Humans Neuroimaging Magnetic Resonance Imaging Deep Learning Alzheimer Disease Cognitive Dysfunction
View on PubMed DOI

Iterative machine learning based rotational alignment of brain 3D CT data.

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 optimal rotational alignment of brain Computed Tomography (CT) images to a required standard position has a crucial importance for both automatic and manual diagnostic analysis. In this contribution, we present a novel two-step iterative approach...
Brain Tomography, X-Ray Computed Humans Machine Learning Algorithms Neural Networks, Computer
View on PubMed DOI

Automatic Detection of Atrial Fibrillation from Ballistocardiogram (BCG) Using Wavelet Features and Machine Learning.

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
This paper presents an unobtrusive method for automatic detection of atrial fibrillation (AF) from single-channel ballistocardiogram (BCG) recordings during sleep. We developed a remote data acquisition system that measures BCG signals through an ele...
Humans Machine Learning Algorithms Monitoring, Physiologic Wavelet Analysis Sleep Atrial Fibrillation Ballistocardiography
View on PubMed DOI
Popular Topics
Popular Journals