Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology

E Grooby, C Sitaula, T Chang Kwok, D Sharkey… - Pediatric …, 2023 - nature.com
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 …

Advancements and challenges in non-invasive electrocardiography for prenatal, intrapartum, and postnatal care: A comprehensive review

RA Marnani, R Jaros, J Pavlicek, R Martinek… - IEEE …, 2024 - ieeexplore.ieee.org
Non-invasive electrocardiography (NI-ECG) has become an indispensable tool for
monitoring fetal and neonatal cardiac activity throughout the stages of pregnancy and …

An ultra-low power smart headband for real-time epileptic seizure detection

SK Lin, LC Wang, CY Lin… - IEEE journal of …, 2018 - ieeexplore.ieee.org
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) …

Design of an integrated wearable multi-sensor platform based on flexible materials for neonatal monitoring

H Chen, S Bao, C Lu, L Wang, J Ma, P Wang… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Bio-signal complexity analysis in epileptic seizure monitoring: A topic review

Z Mei, X Zhao, H Chen, W Chen - Sensors, 2018 - mdpi.com
Complexity science has provided new perspectives and opportunities for understanding a
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 …

Nanopower integrated gaussian mixture model classifier for epileptic seizure prediction

V Alimisis, G Gennis, K Touloupas, C Dimas… - Bioengineering, 2022 - mdpi.com
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 …

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 …

[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 …

[HTML][HTML] A compressed sensing based method for reducing the sampling time of a high resolution pressure sensor array system

C Sun, W Li, W Chen - Sensors, 2017 - mdpi.com
For extracting the pressure distribution image and respiratory waveform unobtrusively and
comfortably, we proposed a smart mat which utilized a flexible pressure sensor array …