This paper presents the first photoplethysmographic (PPG) signal dynamic-based biometric authentication system with a Siamese convolutional neural network (CNN). Our method extracts PPG signal’s characteristics from its diffusive dynamics, characterized by geometric patterns in (p,q)-planes specific to 0–1 test. dynamics are strongly dependent on vascular bed’s biostructure, unique each individ...

OBJECTIVES 1) To construct normal fetal biometry charts of fetal biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) from 14 to 41 weeks of gestation in northeastern Thailand. 2) To compare the results with other studies. STUDY DESIGN A cross sectional descriptive study. SETTING Division of Fetal Diagnosis and Therapy, Department of Obstet...

AIMS To study the refractive outcome of cataract surgery employing IOLMaster biometry data and to compare it with that of applanation ultrasonography in a prospective study of 100 eyes that underwent phacoemulsification with intraocular lens implantation. METHODS The Holladay formula using IOLMaster data was employed for the prediction of implanted intraocular lenses (IOLs). One month after c...

PURPOSE To assess wavefront derived refraction and full eye biometry including ciliary muscle dimension and full eye axial geometry in pseudophakic eyes using spectral domain OCT equipped with a Shack-Hartmann wavefront sensor. METHODS Twenty-eight adult subjects (32 pseudophakic eyes) having recently undergone cataract surgery were enrolled in this study. A custom system combining two optica...

Aims: To study the refractive outcome of cataract surgery employing IOLMaster biometry data and to compare it with that of applanation ultrasonography in a prospective study of 100 eyes that underwent phacoemulsification with intraocular lens implantation. Methods: The Holladay formula using IOLMaster data was employed for the prediction of implanted intraocular lenses (IOLs). One month after c...