eNose: An electronic nose for solid stools detection

eNose: An electronic nose for solid stools detection: Software perspective

Fijneman, Mark (TU Delft Electrical Engineering, Mathematics and Computer Science)
Chin-On, Maxim (TU Delft Electrical Engineering, Mathematics and Computer Science)
Yousef, Gabriel (TU Delft Electrical Engineering, Mathematics and Computer Science)

French, P.J. (mentor)
Mastrangeli, Massimo (mentor)
Kooij, Robert (graduation committee)

Delft University of Technology

Electrical Engineering

2021-06-30

This report details the software part of the development process of the eNose technology. The technology is posed by Momo Medical. Momo Medical is a start-up company located in Delft, it provides and develops non-intrusive monitoring systems in the nursing sector. The project is the next step in an already existing product: BedSense. BedSense enables nurses to check for among others decubritus, whether the patient is out of bed, and even if the patient has passed away. The finished project will be able to detect solid stool and hence, when integrated into the system of BedSense, will greatly assist the nurses.

The eNose technology is able to detect solid bowel movement using its gas sensing abilities. It consists of gas sensors that detect the relevant gasses that are related to feces. These sensor values are then fed into an algorithm that is able to interpret them and detect defecation. Besides it includes a communication system that handles the internal and external communication. Finally, the technology supports Over The Air (OTA) updates which allows to update the firmware of the devices remotely.

The final prototype functions accurately in certain restrooms and can be regarded as a proof of concept.However more work and data is needed in order to make the eNose work in various environments, with possible integration of machine learning analysis, as it has showed great potential.

The project is executed in two groups, hardware and software. This report contains only the software part of the process. It includes the development of the detection algorithm. And the developmentof a communication and OTA programming system.

electronic nose
gas sensing
gas sensor
ESP32
Algorithm
feces
solid stools
OTA

http://resolver.tudelft.nl/uuid:316f721d-d74e-4e3a-a42f-4afbd5ced622

2023-06-30

Student theses

bachelor thesis

© 2021 Mark Fijneman, Maxim Chin-On, Gabriel Yousef