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A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis

2018, Campos, David, Pinho, Renato, Neugebauer, Ute, Popp, Juergen, Oliveira, José Luis, Zwiggelaar, Reyer, Gamboa, Hugo, Fred, Ana, Bermúdez i Badia, Sergi

Sepsis is still a little acknowledged public health issue, despite its increasing incidence and the growing mortality rate. In addition, a clear diagnosis can be lengthy and complicated, due to highly variable symptoms and non-specific criteria, causing the disease to be diagnosed and treated too late. This paper presents the HemoSpec platform, a decision support system which, by collecting and automatically processing data from several acquisition devices, can help in the early diagnosis of sepsis.

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Radio Frequency CMOS Chem-bio Viscosity Sensors based on Dielectric Spectroscopy

2017, Guha, Subhajit, Wenger, Christian, Peixoto, Nathalia, Fred, Ana, Gamboa, Hugo, Vaz, Mário

This paper presents a CMOS Radio frequency dielectric sensor platform for the detection of relative viscosity changes in a fluid sample. The operating frequency of the sensor is 12.28 GHz. This frequency range has been chosen for high signal to noise ratio and also to avoid other low frequency dispersion mechanisms for future lab on chip applications. The sensor chip has been fabricated in 250 nm BiCMOS technology of IHP. The measurements conducted to show the relative viscosity variation detection capability of the sensor chip, were based on mixtures of glycerol and water as well as glycerol and organic alcohol. The detection limit of viscosity is dependent on the permittivity contrast of the sample constituent. Therefore, it is also shown the choice of frequency inherently aids in the permittivity contrast of the sample constituents.