AIMC Topic: Algorithms

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Taxonomy of Two Dimensional Bio-Inspired Locomotion Systems.

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 introduces a new approach to characterize the locomotion of self-assembling modular systems. By establishing the necessary components for a locomotive modules and a hierarchy of locomotive systems, further research can be done into each ca...
Algorithms Robotics Biomimetics Locomotion
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Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.

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
Respiratory diseases account for a significant proportion of deaths and disabilities across the world. Chest X-ray (CXR) analysis remains a common diagnostic imaging modality for confirming intra-thoracic cardiopulmonary abnormalities. However, there...
X-Rays Radiography, Thoracic Respiratory Tract Diseases Algorithms Machine Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods.

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
Analysis of laboratory animal behavior allows assessment of animal wellbeing. We present a method for the classification of different activities of laboratory mice by analyzing video clips using three deep learning methods. Animals placed in observat...
Behavior, Animal Deep Learning Mice Video Recording Algorithms Neural Networks, Computer Animals
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Feasibility Study of Deep Neural Network for Heart Rate Estimation from Wearable Photoplethysmography and Acceleration Signals.

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
Heart rate (HR) estimation using wearable reflectance-type photoplethysmographic (PPG) signals is challenging due to low signal-to-noise ratio (SNR). Especially during intensive exercise, motion artifacts (MAs) overwhelm PPG signals in an unpredictab...
Wearable Electronic Devices Photoplethysmography Feasibility Studies Heart Rate Signal Processing, Computer-Assisted Acceleration Neural Networks, Computer Humans Artifacts Algorithms
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Recurrent Neural Network as Estimator for a Virtual sEMG Channel.

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 study aims at estimating a virtual surface Electromyography (sEMG) channel through a Recurrent Neural Network (RNN) by using Long Short-Term Memory (LSTM) nodes. The virtual channel is used to classify hand postures from the publicly NinaPro dat...
Databases, Factual Humans Neural Networks, Computer Support Vector Machine Electromyography Hand Algorithms
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Probabilistic prediction of Epileptic Seizures using SVM.

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, an algorithm based on the linear Support Vector Machine (SVM) tool was proposed to classify intracranial electroencephalography (iEEG) signals as ictal or interictal to perform human seizure prediction, efficiently. Various univariate ...
Epilepsy Seizures Support Vector Machine Electroencephalography Algorithms Sensitivity and Specificity Humans
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Sparse Embedding for Interpretable Hospital Admission Prediction.

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 introduces a sparse embedding for electronic health record (EHR) data in order to predict hospital admission. We use a k-sparse autoencoder to embed the original registry data into a much lower dimension, with sparsity as a goal. Then, t-S...
Risk Factors Hospitalization Forecasting Electronic Health Records Machine Learning Algorithms Humans
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Evaluation of Facial Pulse Signals using Deep Neural Net Models.

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 reliable measurement of the pulse rate using remote photoplethysmography (PPG) is very important for many medical applications. In this paper we present how deep neural networks (DNNs) models can be used in the problem of PPG signal classificatio...
Algorithms Photoplethysmography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Face Pulse
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Obstacle Recognition using Computer Vision and Convolutional Neural Networks for Powered Prosthetic Leg Applications.

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 work we combine computer vision and a machine learning algorithm, Convolutional Neural Networks (CNNs), to identify obstacles that powered prosthetic leg users might encounter during walking. Our motivation is that powered prosthetic legs cou...
Leg Machine Learning Algorithms Image Processing, Computer-Assisted Prosthesis Design Computers Humans Neural Networks, Computer
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A Comparison of SVM and CNN-LSTM Based Approach for Detecting Smoke Inhalations from Respiratory signal.

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
Wearable sensors have successfully been used in recent studies to monitor cigarette smoking events and analyze people's smoking behavior. Respiratory inductive plethysmography (RIP) has been employed to track breathing and to identify characteristic ...
Neural Networks, Computer Machine Learning Algorithms Humans Smoking Plethysmography Smoke Wearable Electronic Devices Support Vector Machine
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