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Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology
With the development of Artificial Intelligence techniques, smart health monitoring is
becoming more popular. In this study, we investigate the trend of wearable sensors being …
becoming more popular. In this study, we investigate the trend of wearable sensors being …
Advancements and challenges in non-invasive electrocardiography for prenatal, intrapartum, and postnatal care: A comprehensive review
Non-invasive electrocardiography (NI-ECG) has become an indispensable tool for
monitoring fetal and neonatal cardiac activity throughout the stages of pregnancy and …
monitoring fetal and neonatal cardiac activity throughout the stages of pregnancy and …
An ultra-low power smart headband for real-time epileptic seizure detection
In this paper, the design of a smart headband for epileptic seizure detection is presented.
The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) …
The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) …
Design of an integrated wearable multi-sensor platform based on flexible materials for neonatal monitoring
For infants admitted at neonatal intensive care unit, the continuous monitoring of health
parameters is critical for their optimal treatment and outcomes. So it's crucial to provide …
parameters is critical for their optimal treatment and outcomes. So it's crucial to provide …
[HTML][HTML] Bio-signal complexity analysis in epileptic seizure monitoring: A topic review
Complexity science has provided new perspectives and opportunities for understanding a
variety of complex natural or social phenomena, including brain dysfunctions like epilepsy …
variety of complex natural or social phenomena, including brain dysfunctions like epilepsy …
Unsupervised end-to-end deep model for newborn and infant activity recognition
K Jun, S Choi - Sensors, 2020 - mdpi.com
Human activity recognition (HAR) works have mostly focused on the activities of adults.
However, HAR is typically beneficial to the safety and wellness of newborn or infants …
However, HAR is typically beneficial to the safety and wellness of newborn or infants …
Nanopower integrated gaussian mixture model classifier for epileptic seizure prediction
This paper presents a new analog front-end classification system that serves as a wake-up
engine for digital back-ends, targeting embedded devices for epileptic seizure prediction …
engine for digital back-ends, targeting embedded devices for epileptic seizure prediction …
A DNA-based intelligent expert system for personalised skin-health recommendations
X Liu, CH Chen, M Karvela… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Intensive attention on personalised skin-health solutions is on account of incomparable love
of skin and an urgent need for effective treatment. In the meanwhile, people have great …
of skin and an urgent need for effective treatment. In the meanwhile, people have great …
[HTML][HTML] Estimation of human spine orientation with inertial measurement units (IMU) at low sampling rate: How low can we go?
R Riddick, E Smits, G Faber, C Shearwin… - Journal of …, 2023 - Elsevier
Studying people in their daily life is important for understanding conditions with multi-faceted
aetiology such as chronic low back pain. Inertial measurement units can be used to …
aetiology such as chronic low back pain. Inertial measurement units can be used to …
[HTML][HTML] A compressed sensing based method for reducing the sampling time of a high resolution pressure sensor array system
For extracting the pressure distribution image and respiratory waveform unobtrusively and
comfortably, we proposed a smart mat which utilized a flexible pressure sensor array …
comfortably, we proposed a smart mat which utilized a flexible pressure sensor array …