CURRENT Students:

PAST Students:

Decompression sickness is present when the body is exposed to sudden changes in pressure. In divers, the risk increases as the depth of 30-40 meters is overcome, so that this risk is prevented, a table has been developed indicating divers ascent rates, decline rates, waiting time for decompression stops. The continuous apparition of decompression sickness is a problem that continues to be studied since it occurs in divers that followed the dive table instructions. Research has been conducted to determine the effects of decompression sickness; alternative systems to detect decompression sickness are used, but these systems are not applicable in real time.

Methods such as Doppler bubble detection has been discussed, however, the response of output signals to detect bubbles seems to be too sensitive and not reliable. Other ultrasound methods have been investigated; dual frequency and harmonic ultrasound are some of them. These methods failed to provide concrete responses to the presence of bubbles, the tissues must be harmonics and response signals are not strong to the passage of a bubble, the constraints are the two methods showed previous, respectively.

A new method that uses electrical signals form piezoelectric ring (PZT) to indicate the presence of bubbles, the amount of bubbles and the bubble size could be realized, if the correlation between the electrical signals and the presence of bubbles exist, a pattern recognition can be developed to indicate the user to ascend, descend or stop. To avoid the risks involved with the diving activity (activity that is not only entertaining, it is also a profession), this should carry device capable of transmitting signals in real time, is the main objective of this research.

Topics: Decompression sickness, using electrical signals to detect bubbles presence and size, pattern recognition

Expected Graduation Date: December 2014

Thesis Title: DIGITAL SIGNAL ANALYSIS FOR AIR BUBBLES DETECTION ON ARTIFICIAL THIGH VESSELS

Funding: (DoD)

The Collaborative Adaptive Sensing of the Atmosphere (CASA) Engineering Research Center (ERC) at UPRM developed an Off-The-Grid (OTG) X-band single polarized radar network deployed in the Puerto Rico west coast.  With this kind of radar it is possible to observe some meteorological events that might not be detected by NEXRAD radar due to earth curvature.  For this reason the main goal of this research is to break with the paradigm and limitations of using X-band OTG radars as a reliable forecast system, where the principal issue is the attenuation due to rain along the path.  To overcome this problem the attenuated signal could be rectified through a correction algorithm based on reflectivity and also an ideal  polarization (vertical or horizontal) will be identified to certain effects of rain attenuation. To correct for attenuation a hybrid between Hitschfeld–Bordan (HB) method and a Surface Reference Technique (SRT) would be used where the reference signal is the NEXRAD radar data because is considered negligible to attenuation.

Topics: Attenuation correction, effect of polarization on attenuation

Graduation Date: December 2012

Thesis Title: DEVELOPMENT AND IMPLEMENTATION OF AN ATTENUATION CORRECTION ALGORITHM FOR CASA OFF THE GRID X-BAND RADAR NETWORK

Funding: CASA

Currently: PhD Student at University of São Paulo