Contemporary Problems with Methods in Basic Brain Science Impede Progress in ASD Research and Treatments
Elizabeth B. Torres, Caroline Whyatt in Autism, 2017
The field of neuromotor control could help define biometrics based on sensory and motor processes. Yet, the paucity of models that consider appropriate levels of control has made it difficult to translate them into actual clinical applications. Most of the basic research in neuromotor control remains disconnected from social and cognitive aspects of naturalistic behaviors. The experimental paradigms in human motor psychophysics remain much too constrained to allow for the study of freely moving bodies performing actions in activities of daily life. The advent of wearables with high sampling resolution and the introduction of a new taxonomy of neuromotor control (Torres 2011), that maps different ranges of variability in biophysical rhythms from the nervous systems to different levels of control, are starting to enable the translation of biometrics developed in the laboratory settings to more naturalistic environments (Kalampratsidou and Torres 2016). Under this new approach, we can track the signatures of variability of a person’s daily routines, from exercising and walking around during the day, to sleeping cycles at night. Movement classes spanning different control levels, ranging from those spontaneously occurring to those performed rather deliberately, bring a new vision to the study of motor control (Nguyen et al. 2016; Torres 2011; Torres et al. 2011) with direct applications to ASD movement research (Torres et al. 2013a).
Clinical Project Coordination
Gary M. Matoren in The Clinical Research Process in the Pharmaceutical Industry, 2020
The clinical project coordinator is responsible for compiling the monthly highlights report for the clinical division. Each month the following departments and sections in the clinical division provide the clinical project coordinator with the individual highlights for their departments or sections: BiometricsClinical InformationClinical PharmacologyClinical ResearchClinical Research/InternationalClinical Support
Promising advances in surveillance technology for global health security
David L. Blazes, Sheri H. Lewis in Disease Surveillance, 2016
The use of this type of information has great potential, but there is also a dark side. Privacy issues related to health conditions can affect potential employability or the ability to obtain health insurance. Biometric data can also be hacked in order to gain access to computer or other systems such as banking or databases. And just as our online search signature is considered unique, so are our biometrics. Unlike computer passwords though, our biometric properties are mostly impossible to change. Further, this space is evolving so quickly that there are no widely accepted guidelines to help regulate what is appropriate behavior and who should have access to raw or even processed data. The only constant is the understanding that data are valuable and will continue to be exploited unless they are protected and curated in a responsible manner.
Digital health technology used in emergency large-scale vaccination campaigns in low- and middle-income countries: a narrative review for improved pandemic preparedness
Published in Expert Review of Vaccines, 2023
Paula Mc Kenna, Lindsay A. Broadfield, Annik Willems, Serge Masyn, Theresa Pattery, Ruxandra Draghia-Akli
Many people worldwide, especially those living in LMICs, lack an official proof of identity [63]. For vaccine delivery, it is critical to reliably verify the identity of the individuals to avoid inaccurate vaccine tracking and delivery and to reduce duplicate medical records and record falsification [64,65]. Digital health tools help provide reliable identification in a safe way in a large-scale vaccination campaign in emergency settings. Biometrics are commonly used for identification with various technologies developed and implemented to identify individuals using fingerprints, iris, face, and voice recognition [66]. Based upon the learnings from recent Ebola outbreaks, it is important that biometric tools can be contactless, like iris scanning or facial recognition [27]. In the case of highly transmissible infectious pathogens, fingerprinting can represent a risk of transmission and may require additional hygiene measures to reduce this risk [67]. Numerous biometric-based identification methods exist and could be integrated into a tool for a vaccine campaign.
ECG classification system based on multi-domain features approach coupled with least square support vector machine (LS-SVM)
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2023
Russel R. Majeed, Sarmad K. D. Alkhafaji
Biometric recognition techniques provide a high security system by which individuals can be identified and verified according to their characteristics (González-Manzano et al. 2017; Sharma and Sharma 2017; Hammad et al. 2018, 2019; Peris-Lopez et al. 2018; Wu et al. 2018, 2019; Bai et al. 2019; Hammad and Wang 2019). Mainly, physiological, and behavioural features such as fingerprints, face, speech, have been employed in most of biometrics systems (Peris-Lopez et al. 2018; Bai et al. 2019; Wu et al. 2019). Although those features provide a high rate of security, several studies have proved that those features are not robust enough against falsification and attackers. For example, some attacks in biometric systems involve the use of latex for recreation of some features such as fingerprint, voice, and utilize them as original features (Hammad and Wang 2019; Hamza and Ayed 2020; Rabinezhadsadatmahaleh and Khatibi 2020; Al Alkeem et al. 2021).
“Are we getting the biometric bioethics right?” – the use of biometrics within the healthcare system in Malawi
Published in Global Bioethics, 2020
Mphatso Mwapasa, Kate Gooding, Moses Kumwenda, Marriott Nliwasa, Kruger Kaswaswa, Rodrick Sambakunsi, Michael Parker, Susan Bull, Nicola Desmond
Biometrics is defined as the science of establishing and verifying the identity of an individual based on their physical, chemical or behavioural attributes (Jain et al., 2007). Some of the features that are measured in biometrics include DNA, facial features, fingerprints, eye retinas and irises, hand geometry, handwriting, veins and voice (Jain, 2006; Mordini & Massari, 2008).
Related Knowledge Centers
- DNA
- Gait Analysis
- Fingerprint
- Hand Geometry
- Iris Recognition
- Retinal Scan
- Keystroke Dynamics
- Signature Recognition
- Speaker Recognition
- Fingerprint Scanner