Heart rate estimation from wrist-worn photoplethysmography: A review
D Biswas, N Simões-Capela, C Van Hoof… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a low-cost, non-invasive, and optical technique used to
detect blood volume changes in the microvascular tissue bed, measured from the skin …
detect blood volume changes in the microvascular tissue bed, measured from the skin …
Promoting sleep oscillations and their functional coupling by transcranial stimulation enhances memory consolidation in mild cognitive impairment
J Ladenbauer, J Ladenbauer, N Külzow… - Journal of …, 2017 - Soc Neuroscience
Alzheimer9s disease (AD) not only involves loss of memory functions, but also prominent
deterioration of sleep physiology, which is already evident at the stage of mild cognitive …
deterioration of sleep physiology, which is already evident at the stage of mild cognitive …
CorNET: Deep learning framework for PPG-based heart rate estimation and biometric identification in ambulant environment
Advancements in wireless sensor network technologies have enabled the proliferation of
miniaturized body-worn sensors, capable of long-term pervasive biomedical signal …
miniaturized body-worn sensors, capable of long-term pervasive biomedical signal …
Age and sex estimation using artificial intelligence from standard 12-lead ECGs
ZI Attia, PA Friedman, PA Noseworthy… - Circulation …, 2019 - Am Heart Assoc
Background: Sex and age have long been known to affect the ECG. Several biologic
variables and anatomic factors may contribute to sex and age-related differences on the …
variables and anatomic factors may contribute to sex and age-related differences on the …
HeartID: A multiresolution convolutional neural network for ECG-based biometric human identification in smart health applications
Q Zhang, D Zhou, X Zeng - Ieee Access, 2017 - ieeexplore.ieee.org
Body area networks, including smart sensors, are widely reshaping health applications in
the new era of smart cities. To meet increasing security and privacy requirements …
the new era of smart cities. To meet increasing security and privacy requirements …
Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
Delta-band neural responses to individual words are modulated by sentence processing
To understand language, we need to recognize words and combine them into phrases and
sentences. During this process, responses to the words themselves are changed. In a step …
sentences. During this process, responses to the words themselves are changed. In a step …
ECG biometric recognition: A comparative analysis
The electrocardiogram (ECG) is an emerging biometric modality that has seen about 13
years of development in peer-reviewed literature, and as such deserves a systematic review …
years of development in peer-reviewed literature, and as such deserves a systematic review …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
ECG databases for biometric systems: A systematic review
Computer-based biometric systems (CBBSs) individual recognition are expert and intelligent
systems that are gaining increasing interest in many areas, such as securing financial …
systems that are gaining increasing interest in many areas, such as securing financial …