Vergence analysis reveals the influence of axial distances on accommodation with age and axial ametropia

Despite numerous investigations, the aetiology and mechanism of accommodation and presbyopia remains equivocal. Using Gaussian first-order ray tracing calculations, we examine the contribution that ocular axial distances make to the accommodation response. Further, the influence of age and ametropia are also considered. The data show that all changes in axial distances during accommodation reduce the accommodation response, with the reduction in anterior chamber depth contributing most to this overall attenuation. Although the total power loss due to the changes in axial distances remained constant with increasing age, hyperopes exhibited less accommodation than myopes. The study, therefore, enhances our understanding of biometric accommodative changes and demonstrates the utility of vergence analysis in the assessment of accommodation.

Individual identification via electrocardiogram analysis

Background: During last decade the use of ECG recordings in biometric recognition studies has increased. ECG characteristics made it suitable for subject identification: it is unique, present in all living individuals, and hard to forge. However, in spite of the great number of approaches found in literature, no agreement exists on the most appropriate methodology. This study aimed at providing a survey of the techniques used so far in ECG-based human identification. Specifically, a pattern recognition perspective is here proposed providing a unifying framework to appreciate previous studies and, hopefully, guide future research. Methods: We searched for papers on the subject from the earliest available date using relevant electronic databases (Medline, IEEEXplore, Scopus, and Web of Knowledge). The following terms were used in different combinations: electrocardiogram, ECG, human identification, biometric, authentication and individual variability. The electronic sources were last searched on 1st March 2015. In our selection we included published research on peer-reviewed journals, books chapters and conferences proceedings. The search was performed for English language documents. Results: 100 pertinent papers were found. Number of subjects involved in the journal studies ranges from 10 to 502, age from 16 to 86, male and female subjects are generally present. Number of analysed leads varies as well as the recording conditions. Identification performance differs widely as well as verification rate. Many studies refer to publicly available databases (Physionet ECG databases repository) while others rely on proprietary recordings making difficult them to compare. As a measure of overall accuracy we computed a weighted average of the identification rate and equal error rate in authentication scenarios. Identification rate resulted equal to 94.95 % while the equal error rate equal to 0.92 %. Conclusions: Biometric recognition is a mature field of research. Nevertheless, the use of physiological signals features, such as the ECG traits, needs further improvements. ECG features have the potential to be used in daily activities such as access control and patient handling as well as in wearable electronics applications. However, some barriers still limit its growth. Further analysis should be addressed on the use of single lead recordings and the study of features which are not dependent on the recording sites (e.g. fingers, hand palms). Moreover, it is expected that new techniques will be developed using fiducials and non-fiducial based features in order to catch the best of both approaches. ECG recognition in pathological subjects is also worth of additional investigations.

Ciliary muscle morphology in emmetropia and ocular biometric correlates

Purpose: Recent studies have documented a link between axial myopia and ciliary muscle morphology; yet, the variation in biometric characteristics of the emmetropic ciliary muscle are not fully known. Ciliary muscle morphology, including symmetry, was investigated between both eyes of emmetropic participants and correlated to ocular biometric parameters. Methods: Anterior segment optical coherence tomography (Zeiss, Visante) was utilised to image both eyes of 49 emmetropic participants (mean spherical equivalent refractive error (MSE) ≥ -0.55; < +0.75 D), aged 19 to 26 years. High resolution images were obtained of nasal and temporal aspects of the ciliary muscle in the relaxed state. MSE of both eyes was recorded using the Grand Seiko WAM 5500; axial length (AXL), anterior chamber depth (ACD) and lens thickness (LT) of the right eye were obtained using the Haag-streit Lenstar LS 900 biometer. A bespoke semi-objective analysis programme was used to measure a range of ciliary muscle parameters. Results: Temporal ciliary muscle overall length (CML) was greater than nasal CML, in both eyes (right: 3.58 ± 0.40 mm and 3.85 ± 0.39 mm for nasal and temporal aspects, respectively, P < 0.001; left: 3.65 ± 0.35 mm and 3.88 ± 0.41 mm for nasal and temporal aspects, respectively, P < 0.001). Temporal ciliary muscle thickness (CMT) was greater than nasal CMT at 2 mm and 3 mm from the scleral spur (CM2 and CM3, respectively) in each eye (right CM2: 0.29 ± 0.05 mm and 0.32 ± 0.05 mm for nasal and temporal aspects, respectively, P < 0.001; left CM2: 0.30 ± 0.05 mm and 0.32 ± 0.05 mm for nasal and temporal aspects, respectively, P < 0.001; right CM3: 0.13 ± 0.05 mm and 0.16 ± 0.04 mm for nasal and temporal aspects, respectively, P < 0.001; left CM3: 0.14 ± 0.04 mm and 0.17 ± 0.05 mm for nasal and temporal aspects, respectively, P < 0.001). AXL was positively correlated with ciliary muscle anterior length (AL) (e.g. P < 0.001, r2 = 0.262 for left temporal aspect), CML (P = 0.003, r2 = 0.175 for right nasal aspect) and ACD (P = 0.01, r2 = 0.181). Conclusions: Morphological characteristics of the ciliary muscle in emmetropic eyes display high levels of symmetry between the eyes. Greater CML and AL are linked to greater AXL and ACD, indicating ciliary muscle growth with normal ocular development.