Altered trajectory of neurodevelopment associated with fetal growth restriction

I Dudink, PS Hüppi, SV Sizonenko… - Experimental …, 2022 - Elsevier
Fetal growth restriction (FGR) is principally caused by suboptimal placental function. Poor
placental function causes an under supply of nutrients and oxygen to the developing fetus …

Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets

M Saini, S Susan - Computers in Biology and Medicine, 2022 - Elsevier
Screening and diagnosis of diabetic retinopathy disease is a well known problem in the
biomedical domain. The use of medical imagery from a patient's eye for detecting the …

[HTML][HTML] A vision for the future of wearable sensors in spine care and its challenges: narrative review

PW Hodges, W van den Hoorn - Journal of Spine Surgery, 2022 - ncbi.nlm.nih.gov
Objective This review aimed to:(I) provide a brief overview of some topical areas of current
literature regarding applications of wearable sensors in the management of low back pain …

Predicting athlete ground reaction forces and moments from spatio-temporal driven CNN models

WR Johnson, J Alderson, D Lloyd… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The accurate prediction of three-dimensional (3-D) ground reaction forces and moments
(GRF/Ms) outside the laboratory setting would represent a watershed for on-field …

A development framework for decision support systems in high-performance sport

X Schelling, S Robertson - … Journal of Computer Science in Sport, 2020 - sciendo.com
Decision making in sport involves forecasting and selecting choices from different options of
action, care, or management. These processes are conditioned by the available information …

On-field player workload exposure and knee injury risk monitoring via deep learning

WR Johnson, A Mian, DG Lloyd, JA Alderson - Journal of biomechanics, 2019 - Elsevier
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM)
could provide an early warning system for athlete workload exposure and knee injury risk …

Supervised classification techniques for prediction of mortality in adult patients with sepsis

A Rodriguez, D Mendoza, J Ascuntar… - The American Journal of …, 2021 - Elsevier
Background Sepsis mortality is still unacceptably high and an appropriate prognostic tool
may increase the accuracy for clinical decisions. Objective To evaluate several supervised …

Objective classification and scoring of movement deficiencies in patients with anterior cruciate ligament reconstruction

C Richter, E King, S Strike, A Franklyn-Miller - PloS one, 2019 - journals.plos.org
Motion analysis systems are widely employed to identify movement deficiencies—eg
patterns that potentially increase the risk of injury or inhibit performance. However, findings …

Plant biomarker recognition by molecular imprinting based localized surface plasmon resonance sensor array: Performance improvement by enhanced hotspot of au …

L Shang, C Liu, B Chen, K Hayashi - ACS sensors, 2018 - ACS Publications
Detection of plant volatile organic compounds (VOCs) enables monitoring of pests and
diseases in agriculture. We previously revealed that a localized surface plasmon resonance …

Intelligent prediction of kinetic parameters during cutting manoeuvres

M Mundt, S David, A Koeppe, F Bamer… - Medical & Biological …, 2019 - Springer
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground
reaction force and joint moments is of high interest in sports biomechanics. However, using …