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Aim: A device for newborn heart rate (HR) monitoring at birth that is compatible with delayed cord clamping and minimises hypothermia risk could have advantages over current approaches. We evaluated a wireless, cap mounted device (fhPPG) for monitoring neonatal HR.
Methods: A total of 52 infants on the neonatal intensive care unit (NICU) and immediately following birth by elective caesarean section (ECS) were recruited. HR was monitored by electrocardiogram (ECG), pulse oximetry (PO) and the fhPPG device. Success rate, accuracy and time to output HR were compared with ECG as the gold standard. Standardised simulated data assessed the fhPPG algorithm accuracy.
Results: Compared to ECG HR, the median bias (and 95% limits of agreement) for the NICU was fhPPG -0.6 (-5.6, 4.9) vs PO -0.3 (-6.3, 6.2) bpm, and ECS phase fhPPG -0.5 (-8.7, 7.7) vs PO -0.1 (-7.6, 7.1) bpm. In both settings, fhPPG and PO correlated with paired ECG HRs (both R = 0.89). The fhPPG HR algorithm during simulations demonstrated a near-linear correlation (n = 1266, R = 0.99).
Conclusion: Monitoring infants in the NICU and following ECS using a wireless, cap mounted device provides accurate HR measurements. This alternative approach could confer advantages compared with current methods of HR assessment and warrants further evaluation at birth.
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http://dx.doi.org/10.1111/apa.15303 | DOI Listing |
In this work, we propose a novel, to our knowledge, modulation scheme based on the Kramers-Kronig relation for underwater wireless optical communication (UWOC) systems, utilizing 8-coupled green laser diodes (LDs). This scheme enables a data transmission rate of 1 Gb/s over a 100-m distance for the UWOC link. Similar to quadrature amplitude modulation (QAM) and carrierless amplitude and phase (CAP) modulation, the modulation scheme simultaneously conveys both amplitude and phase information through the construction of a minimum-phase signal at the transmitter by leveraging the well-established Kramers-Kronig relation.
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December 2025
University of Brest, UMR CNRS 6027 IRDL, Brest, France.
This paper presents an innovative and accessible hands-free wheelchair control system designed for individuals with severe motor impairments, particularly tetraplegic users. Unlike traditional joystick-based systems, which are often unsuitable for users with quadriplegia, our system relies on intuitive head-motion detection to enhance autonomy and ease of use. The system consists of a wearable motion-sensing cap equipped with an MPU-6050 sensor which is a 6-axis Inertial Measurement Unit (IMU) to capture head gestures, processed by an ATmega328 microcontroller (a low-power 8-bit AVR microcontroller widely used in embedded systems) integrated on an Arduino Nano development board.
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November 2025
Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India. Electronic address:
Precise detection of antibiotic residues such as chloramphenicol (CAP) remains challenging due to their widespread use in veterinary, food, medical, and environmental sectors. Herein, we report a smartphone-assisted electrochemical sensor with graphene oxide (GO) and multi-walled carbon nanotubes (MWCNTs) for the sensitive detection of CAP. The system integrates with both a traditional Autolab potentiostat and a pocket size Palmsens potentiostat.
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June 2025
Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
Autism has primarily been characterized at a social-cognitive level, with evidence suggesting impairments in action-perception and motor function. However, there is a lack of publicly available datasets that specifically address the neural and behavioral mechanisms linking these functions in autism. The Move4AS dataset aims to fill this gap, having been designed to facilitate the study of the underlying mechanisms of motor function in the autism spectrum.
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March 2024
Department of Computer Science, Faculty of Computer Science & Engineering, Al-Ahgaff University, Mukalla, Yemen.