ECG Biometric Authentication: A Comparative Analysis

Robust authentication and identification methods become an indispensable urgent task to protect the integrity of the devices and the sensitive data. Passwords have provided access control and authentication, but have shown their inherent vulnerabilities. The speed and convenience factor are what makes biometrics the ideal authentication solution as they could have a low probability of circumvention. To overcome the limitations of the traditional biometric systems, electrocardiogram (ECG) has received the most attention from the biometrics community due to the highly individualized nature of the ECG signals and the fact that they are ubiquitous and difficult to counterfeit. However, one of the main challenges in ECG-based biometric development is the lack of large ECG databases. In this paper, we contribute to creating a new large gallery off-the-person ECG datasets that can provide new opportunities for the ECG biometric research community. We explore the impact of filtering type, segmentation, feature extraction, and health status on ECG biometric by using the evaluation metrics. Our results have shown that our ECG biometric authentication outperforms existing methods lacking the ability to efficiently extract features, filtering, segmentation, and matching. This is evident by obtaining 100% accuracy for PTB, MIT-BHI, CEBSDB, CYBHI, ECG-ID, and in-house ECG-BG database in spite of noisy, unhealthy ECG signals while performing five-fold cross-validation. In addition, an average of 2.11% EER among 1,694 subjects is obtained

Periodontal status and tooth loss impact on oral health related quality of life among Indian geriatric population

Background: Oral health is believed to be poor as individuals get older since oral problems like as dental caries, diseases of periodontium, and loss of tooth affecting such individuals  are chronic and progressive conditions. Understanding whether oral disorders may have an impact on a person's quality of life requires more than merely tracking their prevalence. Therefore, while examining oral health, it is necessary to include quality of life related to the oral health (OHRQoL) metrics. Aim: To evaluate impact of tooth loss and periodontal status on oral health related quality of life among Indian elderly. Methods and materials: This study involved 2191 senior citizens and was cross-sectional in design. The elderly subjects of the Indian population (59 years of age and older) were chosen as the study population. Before obtaining their informed consent prior to the examination, each subject received a packet of information outlining the goals and methods of the study. Older respondents' oral health-related quality of life was assessed using the Geriatric Oral Health Assessment Index's Hindi translation (GOHAI).&nbsp