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Comparison of specialized actigraphs with wearable devices in quantitative sleep analysis
Čech, Vladimír ; Zvončák, Vojtěch (referee) ; Mikulec, Marek (advisor)
Actigraphy and smart wearable devices provide similar functionality in quantitative sleep analysis. This work aims to verify how common wearable devices stand in comparison with a specialized actigraph used in clinical practice. The actigraph used in this work was Geneactiv Original and it was used to compare the sleep analysis results of eleven commercially available devices. The measurements for nine of the measured devices lasted for one week. Two devices were measured for six days. During sleep, the device was worn on the same hand as the actigraph, and at the same time a sleep diary was kept, in which data on the time of lying down, the time of awakening and the number of awakenings per night were recorded. After a week of measurement, the data obtained from the actigraph were evaluated by software and then compared with the data provided by the second device. In this work, data of total sleep time, sleep onset latency, number of awakenings during the night and sleep efficiency are compared. Ten of the eleven devices measured higher total sleep time and higher sleep efficiency than the actigraph. These devices measured higher total sleep time by 1.21 % – 12.06 % and measured higher sleep efficiency by 2.86 % - 13.86 %. One device, namely Fossil Sport, measured lower total sleep time by 9.02 % and lower sleep efficiency by 9.13 %. Sleep onset latency was the most distinct parameter. Wearable devices measured higher sleep time by 86.72 % – 1225.95 %. Neither device nor actigraph could reliably determine the number of awakenings during the night unless it was a significant physical activity during the night. From the results of the work, it is not possible to say in general that all commercially available devices would be a reliable substitute for actigraphy.
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Sleep dynamics analysis using electrophysiological features
Lampert, Frederik ; Janoušek, Oto (referee) ; Mívalt, Filip (advisor)
Táto práca sa zaoberá metódami detekcie spánku pomocou elektrofiziologických príznakov, bez dostupnosti anotácií v podobe hypnogramov. Vyhodnocovanie spánku pomocou polysomnografických (PSG) dát je časovo apersonálne náročný proces, ktorý sa odohráva zväčša vnemocničnom prostredí. Moderné implantabilné zariadenia schopné kontinuálneho snímania azdieľania dát otvárajú možnosť dlhodobého akontinuálneho monitorovania spánkovej aktivity upacientov snurologickými chorobami v domácom prostredí. Súčasné metódy na spánkovú detekciu využívajú intrakraniálne elektroencefalografické (iEEG) spánkové klasifikátory, ktoré sú tvorené a validované na štandardných polysomnografických dátach. Tie však nie sú vždy kdispozícii čo vedie kpotrebe vyvinutia metódy spánkového hodnotenia, ktorá by bola schopná analyzovať spánok pomocou elektrofyziologických príznakov aj bez dostupnosti anotácií v podobe hypnogramov ato obecne z malého počtu zvodov. Za týmto účelom bola navrhnutá metóda spánkového hodnotenia, ktorá vyhodnocuje spánok na základe výkonu elektroencefalografické (EEG) signálu v spektrálnej oblasti pomocou metrík zvaných Power in Band (PIB) metriky. V tejto práci bol analyzovaný výkon vdelta pásme (0,5-4 Hz), keďže EEG signál má vňom najvyššiu amplitúdu azároveň je jeho aktivita najviac výrazná počas N2 aN3 spánkových cyklov, ktoré sú najviac zastúpené vspánku počas noci, takže poskytujú najlepšiu informáciu orozložení spánku počas noci. Scieľom validácie PIB metrík boli taktiež predstavené štandardné metriky založené na hypnogramoch. Tieto metriky boli následne implementované do programovacieho prostredia Python a aplikované na dva voľne dostupné datasety, Dreem Open Dataset-Healthy (DOD-H) a Dreem Open Dataset-Obstructive (DOD-O) obsahujúce polysomnografické merania 25 zdravých jedincov (DOD-H dataset) a56 jedincov so syndrómom spánkového apnoe (OSA)(DOD-O dataset). Výsledky analýz boli vyhodnotené pomocou vizuálnej analýzy vo forme boxplotov, korelačných matíc a štatistických testov. Z výsledkov analýz vyplýva, že navrhnuté PIB metriky majú schopnosť rozlišovať medzi fyziologickým a patofyziologickým spánkom, avšak ich schopnosť rozlišovať niektoré aspekty spánku sa líši od štandardných metrík založených na hypnogramoch. Ztoho vyplýva, že PIB metriky nenahrádzajú štandardné metriky, ale skôr ponúkajú inú perspektívu na analýzu spánku.
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Comparison of specialized actigraphs with wearable devices in quantitative sleep analysis
Čech, Vladimír ; Zvončák, Vojtěch (referee) ; Mikulec, Marek (advisor)
Actigraphy and smart wearable devices provide similar functionality in quantitative sleep analysis. This work aims to verify how common wearable devices stand in comparison with a specialized actigraph used in clinical practice. The actigraph used in this work was Geneactiv Original and it was used to compare the sleep analysis results of eleven commercially available devices. The measurements for nine of the measured devices lasted for one week. Two devices were measured for six days. During sleep, the device was worn on the same hand as the actigraph, and at the same time a sleep diary was kept, in which data on the time of lying down, the time of awakening and the number of awakenings per night were recorded. After a week of measurement, the data obtained from the actigraph were evaluated by software and then compared with the data provided by the second device. In this work, data of total sleep time, sleep onset latency, number of awakenings during the night and sleep efficiency are compared. Ten of the eleven devices measured higher total sleep time and higher sleep efficiency than the actigraph. These devices measured higher total sleep time by 1.21 % – 12.06 % and measured higher sleep efficiency by 2.86 % - 13.86 %. One device, namely Fossil Sport, measured lower total sleep time by 9.02 % and lower sleep efficiency by 9.13 %. Sleep onset latency was the most distinct parameter. Wearable devices measured higher sleep time by 86.72 % – 1225.95 %. Neither device nor actigraph could reliably determine the number of awakenings during the night unless it was a significant physical activity during the night. From the results of the work, it is not possible to say in general that all commercially available devices would be a reliable substitute for actigraphy.
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