Print Email Facebook Twitter Noninvasive Respiratory Analysis using Piezoelectric Sensor Array Title Noninvasive Respiratory Analysis using Piezoelectric Sensor Array: A BSc Thesis Author Kerkhof, Franck (TU Delft Electrical Engineering, Mathematics and Computer Science) Rodewijk, Koen (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Leus, G.J.T. (mentor) Degree granting institution Delft University of Technology Programme Electrical Engineering Project Bachelor Graduation Project Date 2020-12-17 Abstract In this study multiple design approaches have been tried to accurately determine the respiratory rate every 30 seconds of a patient in a hospital bed using six piezoelectric pressure sensors located sandwiched between the mattress and the bed. After four design iterations using a variety of different methods, a final design using a Least Mean Squares (LMS) filter and peak detection in the frequency domain was implemented. According to the test results, this method determines an accurate respiratory rate 85% of the time in a controlled, experimental environment with the subject lying completely still. Unfortunately this accuracy is below the set requirements. However, it is believed that multiple improvements can still be made on the algorithm to increase the accuracy. Subject respiratoryLMSsignal processingmedicalsensor fusion To reference this document use: http://resolver.tudelft.nl/uuid:fdabe965-28d6-4ae6-80c9-2ccfaf05c018 Embargo date 2025-12-17 Part of collection Student theses Document type bachelor thesis Rights © 2020 Franck Kerkhof, Koen Rodewijk Files file embargo until 2025-12-17