AIMC Topic: Biometry

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ECG Authentication Hardware Design With Low-Power Signal Processing and Neural Network Optimization With Low Precision and Structured Compression.

IEEE transactions on biomedical circuits and systems Feb 17, 2020
Biometrics such as facial features, fingerprint, and iris are being used increasingly in modern authentication systems. These methods are now popular and have found their way into many portable electronics such as smartphones, tablets, and laptops. F...
Humans Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Biometry Algorithms Wearable Electronic Devices
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Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.

Journal of medical engineering & technology Sep 10, 2019
This paper presents an advanced approach for foetal brain abnormalities diagnostic by integrating significant biometric features in the identification process. In foetal anomaly diagnosis, manual evaluation of foetal behaviour in ultrasound images is...
Ultrasonography Image Processing, Computer-Assisted Support Vector Machine Databases, Factual Brain Gestational Age Biometry Prenatal Diagnosis Head Fetus Humans
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Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important).

Journal of clinical epidemiology Aug 16, 2019
Biometry Algorithms Logistic Models Machine Learning
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Automatic evaluation of fetal head biometry from ultrasound images using machine learning.

Physiological measurement Jul 1, 2019
OBJECTIVE: Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are frequently used to evaluate gestational age and diagnose fetal central nervous system pathology. Because manual measurements ...
Cephalometry Automation Biometry Ultrasonography, Prenatal Image Processing, Computer-Assisted Humans Head Regression Analysis Machine Learning
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Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms.

Journal of medical systems May 22, 2019
Latest studies done on huge data collected from aging features proved that the performance of facial image based age estimation is low and need to be improved. One of the significant biometric traits for human recognition or search is Human age. Age ...
Pattern Recognition, Automated Machine Learning Biometry Eye Algorithms Humans Aging
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A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting.

Biometrical journal. Biometrische Zeitschrift May 14, 2019
Propensity score matching (PSM) and propensity score weighting (PSW) are popular tools to estimate causal effects in observational studies. We address two open issues: how to estimate propensity scores and assess covariate balance. Using simulations,...
Multivariate Analysis Propensity Score Biometry Monte Carlo Method Cesarean Section Observational Studies as Topic Labor, Induced Pregnancy Female Humans Machine Learning
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Tuning model parameters in class-imbalanced learning with precision-recall curve.

Biometrical journal. Biometrische Zeitschrift Dec 12, 2018
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used in practice as compared with its alternative of receiver operating characteristic (ROC). This study i...
ROC Curve Support Vector Machine Models, Statistical Colonic Neoplasms Brain Injuries, Traumatic Humans Biometry Machine Learning
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A comparison of deep networks with ReLU activation function and linear spline-type methods.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2018
Deep neural networks (DNNs) generate much richer function spaces than shallow networks. Since the function spaces induced by shallow networks have several approximation theoretic drawbacks, this explains, however, not necessarily the success of deep ...
Biometry Neural Networks, Computer Machine Learning Humans
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Machine-learning-based automatic identification of fetal abdominal circumference from ultrasound images.

Physiological measurement Oct 22, 2018
OBJECTIVE: Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, such measurements are cumbersome. Hence, there is urgent need for automatic biometric estimation. Automated analysis of ultrasound images is complicated...
Pregnancy Female Ultrasonography, Prenatal Humans Machine Learning Pattern Recognition, Automated Abdomen Image Interpretation, Computer-Assisted Biometry
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An Associative Memory Approach to Healthcare Monitoring and Decision Making.

Sensors (Basel, Switzerland) Aug 16, 2018
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of sensors and communication technology, have changed healthcare in all its areas, creating the well-known healthcare paradigm of e-Health. In this paper, ...
Sensitivity and Specificity Male Datasets as Topic Biometry Coronary Artery Disease Humans Algorithms Clinical Decision-Making Machine Learning Female
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