Software Projects
Android App for a Bluetooth device
2019 - UniTransferKlinik Lübeck GmbH & Sachtleben GmbH.
For the counter from the demonstrator for smart wireless therapeutic device, it was an Android App in Java lenguage. The Sachtleben App used the Bluetooth Low Engery API to control the device and to receive its messages. Sachtleben approved the user cases for the developing of the App.
Proof-of-Concept and development of a demonstrator for smart wireless therapeutic device
2019 - UniTransferKlinik Lübeck GmbH & Sachtleben GmbH.
The software was written in C++ under the IDE from the company Cypress, PsOC Creator® 4.2. Before coding, the user cases and UML diagrams were described. The Bluetooth API from Cypress was used to create the Bluetooth structure. The correspondent API of the device's software was implemented to communicate with the client (APP)
Creation of a web platform for testing virtual medical devices
2018 - UniTransferKlinik Lübeck GmbH
Employed technology: nodejs, Java and HTML. For this project, a server device was created. This server listens to a specific port number. The server in nodejs will run a Java EXE file, which contains the Tester to the virtual medical device. An API was stablished.
Concept of a Bluetooth Master Device in a Sensor Network up to Fourteen Slaves
2017 - GAIA GmbH.
For this project the developed lenguage was Bash, C++, C# and Python. For the Bluetooth module a I2C protocoll was implemented to communicate with the Raspberry Pi. User cases took place also in this project. The Raspberry Pi software controlled the Bluetooth module with some paramters. This module muss controll 14 sensors and collect their data. After the data collection time was over, the Raspberry Pi would upload the data to the cloud.
Reconstruction of a CT-image using MATLAB
2016 - Universität zu Lübeck & Fachhochschule Lübeck, Germany
For this project a medical image needed to be reconstructed with the back projection methode.
Automation of analyzing cancer cells by fluorescent imaging
2012 - Universidad de Monterrey - Bacherlor's Thesis
The Institute of Pathologie in the University of Monterrey had a problem to classify a stack of medical cancer images. They wanted to have an automation in their process to count the cancer cells. The developed software was in MATLAB. Using image processing the process time decreased radically from three days to five minutes with a 90% of accuracy.