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doctoral thesis
Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:893277
Čuljak, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Institutional repository: FER Repository

Cite this document

Čuljak, I. (2023). Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:893277

Čuljak, Ivana. "Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:893277

Čuljak, Ivana. "Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:893277

Čuljak, I. (2023). 'Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:893277

Čuljak I. Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 August 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:893277

I. Čuljak, "Method for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:893277

Metadata
TitleMethod for analysis of sleep parameters based on ultra-wideband communication channel impulse response measurement
Title (english)Metoda analize parametara spavanja zasnovana na mjerenju impulsnoga odziva ultraširokopojasnoga komunikacijskog kanala
AuthorIvana Čuljak
MBZ: -355509
MentorMario Cifrek (mentor)
Committee memberHrvoje Džapo (predsjednik povjerenstva)
Committee memberAlan Jović (član povjerenstva)
Committee memberDomagoj Vidović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2023-02-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
The research aims to leverage radio frequency (RF) technology for contactless sleep parameters measurement and their analysis using machine learning algorithms and signal processing techniques. The developed platform for sleep monitoring with UWB (Sleep-UWB Platform) was validated through the overnight clinical study in a University Psychiatric Hospital "Vrapče". Analysis of the obtained data collected with the Sleep-UWB Platform was compared with the reference polysomnography measurements. Unlike the common UWB radar approach, this research presents a non-radar solution, where movements and breathing patterns are extracted from the channel impulse response (CIR) of commercial low-cost UWB transceivers. The analysis of the breathing patterns, body postural transition, and overall sleep parameters analysis were investigated. A statistical model was developed and includes information about the position, snoring, sleep stage and the anthropometric measures taken before and after sleep, as well as the subjective questionnaires and behavioral characteristics of the patients on the day of the measurements, covering the lack of information given by AHI index. The goodness-of-fit analysis shows that this approach can bring new insights and improvements in the monitoring of respiratory events. Based on the above mentioned, a scientific contribution has been made in the following manner: • Method for measurement of sleep breathing patterns and sleep postural transitions based on ultra-wideband communication channel impulse response measurement; • Method for feature extraction of breathing patterns and postural transitions during sleep based on ultra-wideband communication channel impulse response measurement; • Method for analysis of sleep parameters from extracted features of breathing patterns and postural transitions.
Abstract (croatian)
Cilj istraživanja je iskoristiti radiofrekvencijsku (RF) tehnologiju, točnije ultraširokopojasnu (UWB) tehnologiju, za beskontaktno mjerenje parametara spavanja i njihovu analizu korištenjem algoritama strojnog učenja i obradbe signala. Razvijena je UWB platforma za praćenje parametara spavanja (Sleep-UWB Platform) te je validirana provođenjem cjelonoćnog kliničkog istraživanja u Klinici za psihijatriju "Vrapče", Zavoda za psihofiziologiju i organski uvjetovane psihičke poremećaje, Centra za poremećaje spavanja i budnosti. Analiza dobivenih podataka prikupljenih platformom Sleep-UWB Platform uspoređena je s referentnim mjerenjima polisomnografijom (PSG). Za razliku od uobičajenog UWB radarskog pristupa, ovo istraživanje predstavlja ne-radarsko rješenje, gdje se pokreti i disanje izdvajaju iz impulsnog odziva kanala (CIR) komercijalnih UWB primopredajnika. Istražena je analiza obrazaca disanja i promjena položaja tijela tijekom spavanja i sveukupna analiza parametara spavanja. Rezultati istraživanja pokazali su da se predloženim pristupom postižu bolji rezultati u odnosu na postojeće slične metode. Razvijen je statistički model koji uključuje podatke o položaju i fazi spavanja, hrkanju te antropometrijske mjere, kao i podatke dobivene subjektivnim upitnicima i karakteristike ponašanja pacijenata na dan mjerenja, pokrivajući nedostatak informacija dan AHI indeksom. Analiza dobrote prilagodbe modela pokazuje da ovaj pristup može donijeti nove uvide i poboljšanja u praćenju respiratornih događaja. Iz prethodno navedenog ostvaren je znanstveni doprinos kako slijedi: • Metoda mjerenja obrazaca disanja i promjena položaja tijela tijekom spavanja zasnovana na mjerenju impulsnoga odziva ultraširokopojasnoga komunikacijskog kanala, • Metoda izlučivanja značajki obrazaca disanja i značajki promjena položaja tijela tijekom spavanja zasnovana na mjerenju impulsnoga odziva ultraširokopojasnoga komunikacijskog kanala, • Metoda analize parametara spavanja iz izlučenih značajki obrazaca disanja i promjena položaja tijela.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:893277
Promotion2023
Study programmeTitle: Doctoral study programme "Electrical Engineering and Computing"
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
Type of resourceText
Extentxviii, 177 str. : graf. prikazi ; 31 cm.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-04-05 09:27:27