|
|
|
Edgar Acuna, Roxana Aparicio and Velcy Palomino
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB...
ver más
|
|
|
|
|
|
|
Rafiya Sohail, Yousaf Saeed, Abid Ali, Reem Alkanhel, Harun Jamil, Ammar Muthanna and Habib Akbar
Diabetes is a chronic disease that is escalating day by day and requires 24/7 continuous management. It may cause many complications, precisely when a patient moves, which may risk their and other drivers? and pedestrians? lives. Recent research shows di...
ver más
|
|
|
|
|
|
|
Parul Madan, Vijay Singh, Vaibhav Chaudhari, Yasser Albagory, Ankur Dumka, Rajesh Singh, Anita Gehlot, Mamoon Rashid, Sultan S. Alshamrani and Ahmed Saeed AlGhamdi
Diabetes is a common chronic disorder defined by excessive glucose levels in the blood. A good diagnosis of diabetes may make a person?s life better; otherwise, it can cause kidney failure, major heart damage, and damage to the blood vessels and nerves. ...
ver más
|
|
|
|
|
|
|
Fadi R. Shahroury
This paper describes the design methodology and calibration technique for a low-power digital pulse width modulation demodulator to enhance its robustness against the process, voltage, and temperature variations in different process corners, in addition ...
ver más
|
|
|
|
|
|
|
Karla R. Borba, Didem P. Aykas, Maria I. Milani, Luiz A. Colnago, Marcos D. Ferreira and Luis E. Rodriguez-Saona
Portable spectrometers are promising tools that can be an alternative way, for various purposes, of analyzing food quality, such as monitoring in a few seconds the internal quality during fruit ripening in the field. A portable/handheld (palm-sized) near...
ver más
|
|
|
|
|
|
|
Rodrigo Martín-San Agustín, Alejandro José Laguna Sanz, Jorge Bondia, Enrique Roche, Josep C. Benítez Martínez and F. Javier Ampudia-Blasco
Workout routines comprising high intensity interval training (with elastic bands) could be developed that ensure the glycemic safety of type 1 diabetic people while taking advantage of its inherent health benefits.
|
|
|
|
|
|
|
Ignacio Rodríguez-Rodríguez, José-Víctor Rodríguez, José-María Molina-García-Pardo, Miguel-Ángel Zamora-Izquierdo and María-Teresa Martínez-Inglés Ignacio Martínez-Inglés
The metabolic disease Type 1 Diabetes Mellitus (DM1) is caused by a reduction in the production of pancreatic insulin, which causes chronic hyperglycemia. Patients with DM1 are required to perform multiple blood glucose measurements on a daily basis to m...
ver más
|
|
|
|
|
|
|
Gabriela Ghiga, Nicoleta Gimiga, Daniel Vasile Timofte, Oana Maria Rosu, Vladimir Poroch, Gheorghe G. Balan and Smaranda Diaconescu
Gastroesophageal reflux disease (GERD) is a common digestive condition, representing one of the most frequent reasons for medical examination, especially in pediatric gastroenterology departments. GERD could be associated with biochemical alterations rep...
ver más
|
|
|
|
|
|
|
Yun Jung Heo and Seong-Hyok Kim
Continuous glucose monitoring (CGM) sensors have led a paradigm shift to painless, continuous, zero-finger pricking measurement in blood glucose monitoring. Recent electrochemical CGM sensors have reached two-week lifespans and no calibration with clinic...
ver más
|
|
|
|
|
|
|
Robert Schalk, Annabell Heintz, Frank Braun, Giuseppe Iacono, Matthias Rädle, Norbert Gretz, Frank-Jürgen Methner and Thomas Beuermann
Raman and mid-infrared (MIR) spectroscopy are useful tools for the specific detection of molecules, since both methods are based on the excitation of fundamental vibration modes. In this study, Raman and MIR spectroscopy were applied simultaneously durin...
ver más
|
|
|
|