keyword
https://read.qxmd.com/read/38475146/exploring-the-possibility-of-photoplethysmography-based-human-activity-recognition-using-convolutional-neural-networks
#1
JOURNAL ARTICLE
Semin Ryu, Suyeon Yun, Sunghan Lee, In Cheol Jeong
Various sensing modalities, including external and internal sensors, have been employed in research on human activity recognition (HAR). Among these, internal sensors, particularly wearable technologies, hold significant promise due to their lightweight nature and simplicity. Recently, HAR techniques leveraging wearable biometric signals, such as electrocardiography (ECG) and photoplethysmography (PPG), have been proposed using publicly available datasets. However, to facilitate broader practical applications, a more extensive analysis based on larger databases with cross-subject validation is required...
March 1, 2024: Sensors
https://read.qxmd.com/read/38475091/preliminary-study-of-novel-bio-crypto-key-generation-using-clustering-based-binarization-of-ecg-features
#2
JOURNAL ARTICLE
Ho Bin Hwang, Jeyeon Lee, Hyeokchan Kwon, Byungho Chung, Jongshill Lee, In Young Kim
In modern society, the popularity of wearable devices has highlighted the need for data security. Bio-crypto keys (bio-keys), especially in the context of wearable devices, are gaining attention as a next-generation security method. Despite the theoretical advantages of bio-keys, implementing such systems poses practical challenges due to their need for flexibility and convenience. Electrocardiograms (ECGs) have emerged as a potential solution to these issues but face hurdles due to intra-individual variability...
February 28, 2024: Sensors
https://read.qxmd.com/read/38450461/-structural-and-functional-features-of-the-eye-in-marfan-syndrome-report-2-changes-in-the-anatomical-complex-of-the-lens
#3
JOURNAL ARTICLE
K S Avetisov, E A Chizhonkova, S E Avetisov, D V Andzhelova
UNLABELLED: Analysis of lens changes in Marfan syndrome (MS), in addition to assessing the position of the lens itself, should include the possibility of examining its supporting and accommodative components (ciliary zonule and ciliary body), or what can be called the entire anatomical complex of the lens. Optical methods of studying the structures of the anterior segment of the eye, due to iris opacity, allow only to analyze the state of the lens within the natural or medically enlarged pupil width...
2024: Vestnik Oftalmologii
https://read.qxmd.com/read/38444876/wearable-activity-tracker-study-exploring-rheumatoid-arthritis-patients-disease-activity-using-patient-reported-outcome-measures-clinical-measures-and-biometric-sensor-data-the-wear-study
#4
JOURNAL ARTICLE
Laura Stradford, Jeffrey R Curtis, Patrick Zueger, Fenglong Xie, David Curtis, Kelly Gavigan, Cassie Clinton, Shilpa Venkatachalam, Esteban Rivera, W Benjamin Nowell
BACKGROUND: Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health. METHODS: Newly initiated patients on upadacitinib or adalimumab for RA will be recruited from community settings in the Excellence NEtwork in RheumatoloGY (ENRGY) practice-based research network. Over the period of three to six months, three streams of data will be collected (1) linkable physician-derived data; (2) self-reported daily and weekly ePROs through the ArthritisPower registry app; and (3) biometric sensor data passively collected via wearable...
April 2024: Contemporary Clinical Trials Communications
https://read.qxmd.com/read/38400440/underground-mine-safety-and-health-a-hybrid-merec-cocoso-system-for-the-selection-of-best-sensor
#5
JOURNAL ARTICLE
Qiang Wang, Tao Cheng, Yijun Lu, Haichuan Liu, Runhua Zhang, Jiandong Huang
This research addresses the paramount issue of enhancing safety and health conditions in underground mines through the selection of optimal sensor technologies. A novel hybrid MEREC-CoCoSo system is proposed, integrating the strengths of the MEREC (Method for Eliciting Relative Weights) and Combined Compromise Solution (CoCoSo) methods. The study involves a three-stage framework: criteria and sensor discernment, criteria weight determination using MEREC, and sensor prioritization through the MEREC-CoCoSo framework...
February 17, 2024: Sensors
https://read.qxmd.com/read/38400290/finger-vein-identification-based-on-large-kernel-convolution-and-attention-mechanism
#6
JOURNAL ARTICLE
Meihui Li, Yufei Gong, Zhaohui Zheng
FV (finger vein) identification is a biometric identification technology that extracts the features of FV images for identity authentication. To address the limitations of CNN-based FV identification, particularly the challenge of small receptive fields and difficulty in capturing long-range dependencies, an FV identification method named Let-Net (large kernel and attention mechanism network) was introduced, which combines local and global information. Firstly, Let-Net employs large kernels to capture a broader spectrum of spatial contextual information, utilizing deep convolution in conjunction with residual connections to curtail the volume of model parameters...
February 9, 2024: Sensors
https://read.qxmd.com/read/38391978/advances-in-engineered-nano-biosensors-for-bacteria-diagnosis-and-multidrug-resistance-inhibition
#7
REVIEW
Qingxiu Xia, Hui Jiang, Xiaohui Liu, Lihong Yin, Xuemei Wang
Bacterial infections continue to pose a significant global health challenge, with the emergence of multidrug-resistant (MDR) bacteria and biofilms further complicating treatment options. The rise of pan-resistant bacteria, coupled with the slow development of new antibiotics, highlights the urgent need for new therapeutic strategies. Nanotechnology-based biosensors offer fast, specific, sensitive, and selective methods for detecting and treating bacteria; hence, it is a promising approach for the diagnosis and treatment of MDR bacteria...
January 23, 2024: Biosensors
https://read.qxmd.com/read/38386618/acceptance-of-digital-phenotyping-linked-to-a-digital-pill-system-to-measure-prep-adherence-among-men-who-have-sex-with-men-with-substance-use
#8
JOURNAL ARTICLE
Hannah Albrechta, Georgia R Goodman, Elizabeth Oginni, Yassir Mohamed, Krishna Venkatasubramanian, Arlen Dumas, Stephanie Carreiro, Jasper S Lee, Tiffany R Glynn, Conall O'Cleirigh, Kenneth H Mayer, Celia B Fisher, Peter R Chai
Once-daily oral HIV pre-exposure prophylaxis (PrEP) is an effective strategy to prevent HIV, but is highly dependent on adherence. Men who have sex with men (MSM) who use substances face unique challenges maintaining PrEP adherence. Digital pill systems (DPS) allow for real-time adherence measurement through ingestible sensors. Integration of DPS technology with other digital health tools, such as digital phenotyping, may improve understanding of nonadherence triggers and development of personalized adherence interventions based on ingestion behavior...
February 2024: PLOS Digit Health
https://read.qxmd.com/read/38357703/17%C3%AE-estradiol-biosensors-based-on-different-bioreceptors-and-their-applications
#9
REVIEW
Xinyi Wang, Fanli Kong, Yaoyao Liu, Shiya Lv, Kui Zhang, Shutong Sun, Juntao Liu, Mixia Wang, Xinxia Cai, Hongyan Jin, Shi Yan, Jinping Luo
17β-Estradiol (E2) is a critical sex steroid hormone, which has significant effects on the endocrine systems of both humans and animals. E2 is also believed to play neurotrophic and neuroprotective roles in the brain. Biosensors present a powerful tool to detect E2 because of their small, efficient, and flexible design. Furthermore, Biosensors can quickly and accurately obtain detection results with only a small sampling amount, which greatly meets the detection of the environment, food safety, medicine safety, and human body...
2024: Frontiers in Bioengineering and Biotechnology
https://read.qxmd.com/read/38331893/the-utility-of-behavioral-biometrics-in-user-authentication-and-demographic-characteristic-detection-a-scoping-review
#10
JOURNAL ARTICLE
O L Finnegan, J W White, B Armstrong, E L Adams, S Burkart, M W Beets, S Nelakuditi, E A Willis, L von Klinggraeff, H Parker, M Bastyr, X Zhu, Z Zhong, R G Weaver
BACKGROUND: Objective measures of screen time are necessary to better understand the complex relationship between screen time and health outcomes. However, current objective measures of screen time (e.g., passive sensing applications) are limited in identifying the user of the mobile device, a critical limitation in children's screen time research where devices are often shared across a family. Behavioral biometrics, a technology that uses embedded sensors on modern mobile devices to continuously authenticate users, could be used to address this limitation...
February 8, 2024: Systematic Reviews
https://read.qxmd.com/read/38315123/iontronic-dynamic-sensor-with-broad-bandwidth-and-flat-frequency-response-using-controlled-preloading-strategy
#11
JOURNAL ARTICLE
Haoyu Guo, Jianxing Liu, Haiyang Liu, Meng Yang, Jiawei Zhao, Tongqing Lu
Rapid advancements in human-machine interaction and voice biometrics impose desirability on soft mechanical sensors for sensing complex dynamic signals. However, existing soft mechanical sensors mainly concern quasi-static signals such as pressure and pulsation for health monitoring, limiting their applications in emerging wearable electronics. Here, we propose a hydrogel-based soft mechanical sensor that enables recording a wide range of dynamic signals relevant to humans by combining a preloading design strategy and iontronic sensing mechanism...
February 5, 2024: ACS Nano
https://read.qxmd.com/read/38276355/fingerprint-recognition-in-forensic-scenarios
#12
JOURNAL ARTICLE
Nuno Martins, José Silvestre Silva, Alexandre Bernardino
Fingerprints are unique patterns used as biometric keys because they allow an individual to be unambiguously identified, making their application in the forensic field a common practice. The design of a system that can match the details of different images is still an open problem, especially when applied to large databases or, to real-time applications in forensic scenarios using mobile devices. Fingerprints collected at a crime scene are often manually processed to find those that are relevant to solving the crime...
January 20, 2024: Sensors
https://read.qxmd.com/read/38257434/hybrid-feature-extractor-using-discrete-wavelet-transform-and-histogram-of-oriented-gradient-on-convolutional-neural-network-based-palm-vein-recognition
#13
JOURNAL ARTICLE
Meirista Wulandari, Rifai Chai, Basari Basari, Dadang Gunawan
Biometric recognition techniques have become more developed recently, especially in security and attendance systems. Biometrics are features attached to the human body that are considered safer and more reliable since they are difficult to imitate or lose. One of the popular biometrics considered in research is palm veins. They are an intrinsic biometric located under the human skin, so they have several advantages when developing verification systems. However, palm vein images obtained based on infrared spectra have several disadvantages, such as nonuniform illumination and low contrast...
January 6, 2024: Sensors
https://read.qxmd.com/read/38245561/ecc-based-three-factor-authentication-and-key-agreement-scheme-for-wireless-sensor-networks
#14
JOURNAL ARTICLE
Wenfeng Huang
In wireless sensor networks (WSNs), protocols with authentication and key agreement functions can enhance the security of the interaction between users and sensor nodes, guaranteeing the security of user access and sensor node information. Existing schemes have various security vulnerabilities and are susceptible to security attacks (e.g., masquerading user, password guessing, internal privilege, and MITT attacks), so they cannot meet the anonymity requirements or achieve forward security. To effectively improve the security performance of WSNs, an elliptic curve cryptography (ECC)-based three-factor authentication and key agreement scheme for WSNs is proposed...
January 20, 2024: Scientific Reports
https://read.qxmd.com/read/38217713/an-impedance-labeling-free-electrochemical-aptamer-sensor-based-on-tetrahedral-dna-nanostructures-for-doxorubicin-determination
#15
JOURNAL ARTICLE
Dan Ou, Huixian Yan, Zuanguang Chen
Based on the electrochemical impedance method, a marker-free biosensor with aptamer as a biometric element was developed for the determination of doxorubicin (DOX). By combining aptamer with rigid tetrahedral DNA nanostructures (TDNs) and fixing them on the surface of gold electrode (GE) as biometric elements, the density and directivity of surface nanoprobes improved, and DOX was captured with high sensitivity and specificity. DOX was captured by immobilized aptamers on the GE, which inhibited electron transfer between the GE and [Fe(CN)6]3- /4- in solution, resulting in a change in electrochemical impedance...
January 13, 2024: Mikrochimica Acta
https://read.qxmd.com/read/38216543/feasibility-acceptability-and-preliminary-effectiveness-of-a-combined-digital-platform-and-community-health-worker-intervention-for-patients-with-heart-failure-protocol-for-a-randomized-controlled-trial
#16
JOURNAL ARTICLE
Jocelyn Carter, Natalia Swack, Eric Isselbacher, Karen Donelan, Anne Thorndike
BACKGROUND: Interventions focused on remote monitoring and social needs care have shown promise in improving clinical outcomes for patients with heart failure (HF). However, patient willingness to use technology as well as concerns about access in under-resourced settings have limited digital platform implementation and adoption. There is little research in HF populations examining the effect of a combined digital and social needs care intervention that could enhance patient engagement in digital platform use while closing gaps in care related to social determinants of health...
January 11, 2024: JMIR Research Protocols
https://read.qxmd.com/read/38215200/unveiling-intra-person-fingerprint-similarity-via-deep-contrastive-learning
#17
JOURNAL ARTICLE
Gabe Guo, Aniv Ray, Miles Izydorczak, Judah Goldfeder, Hod Lipson, Wenyao Xu
Fingerprint biometrics are integral to digital authentication and forensic science. However, they are based on the unproven assumption that no two fingerprints, even from different fingers of the same person, are alike. This renders them useless in scenarios where the presented fingerprints are from different fingers than those on record. Contrary to this prevailing assumption, we show above 99.99% confidence that fingerprints from different fingers of the same person share very strong similarities. Using deep twin neural networks to extract fingerprint representation vectors, we find that these similarities hold across all pairs of fingers within the same person, even when controlling for spurious factors like sensor modality...
January 12, 2024: Science Advances
https://read.qxmd.com/read/38203004/pggait-gait-recognition-based-on-millimeter-wave-radar-spatio-temporal-sensing-of-multidimensional-point-clouds
#18
JOURNAL ARTICLE
Xiaochao Dang, Yangyang Tang, Zhanjun Hao, Yifei Gao, Kai Fan, Yue Wang
Gait recognition, crucial in biometrics and behavioral analytics, has applications in human-computer interaction, identity verification, and health monitoring. Traditional sensors face limitations in complex or poorly lit settings. RF-based approaches, particularly millimeter-wave technology, are gaining traction for their privacy, insensitivity to light conditions, and high resolution in wireless sensing applications. In this paper, we propose a gait recognition system called Multidimensional Point Cloud Gait Recognition (PGGait)...
December 27, 2023: Sensors
https://read.qxmd.com/read/38202886/a-hybrid-protection-scheme-for-the-gait-analysis-in-early-dementia-recognition
#19
JOURNAL ARTICLE
Francesco Castro, Donato Impedovo, Giuseppe Pirlo
Human activity recognition (HAR) through gait analysis is a very promising research area for early detection of neurodegenerative diseases because gait abnormalities are typical symptoms of some neurodegenerative diseases, such as early dementia. While working with such biometric data, the performance parameters must be considered along with privacy and security issues. In other words, such biometric data should be processed under specific security and privacy requirements. This work proposes an innovative hybrid protection scheme combining a partially homomorphic encryption scheme and a cancelable biometric technique based on random projection to protect gait features, ensuring patient privacy according to ISO/IEC 24745...
December 19, 2023: Sensors
https://read.qxmd.com/read/38202878/a-novel-ppg-based-biometric-authentication-system-using-a-hybrid-cvt-convmixer-architecture-with-dense-and-self-attention-layers
#20
JOURNAL ARTICLE
Mostafa E A Ibrahim, Qaisar Abbas, Yassine Daadaa, Alaa E S Ahmed
Biometric authentication is a widely used method for verifying individuals' identities using photoplethysmography (PPG) cardiac signals. The PPG signal is a non-invasive optical technique that measures the heart rate, which can vary from person to person. However, these signals can also be changed due to factors like stress, physical activity, illness, or medication. Ensuring the system can accurately identify and authenticate the user despite these variations is a significant challenge. To address these issues, the PPG signals were preprocessed and transformed into a 2-D image that visually represents the time-varying frequency content of multiple PPG signals from the same human using the scalogram technique...
December 19, 2023: Sensors
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