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 …
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
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 …
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 …
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
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 …
(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 …
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
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 …
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 …
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 …
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 …
Detection of plant volatile organic compounds (VOCs) enables monitoring of pests and
diseases in agriculture. We previously revealed that a localized surface plasmon resonance …
diseases in agriculture. We previously revealed that a localized surface plasmon resonance …
Intelligent prediction of kinetic parameters during cutting manoeuvres
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 …
reaction force and joint moments is of high interest in sports biomechanics. However, using …