|
|
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.
|
|
|
Using Wearables for Medicine Applications
Abraham, Lukáš ; Rozman, Jaroslav (referee) ; Samek, Jan (advisor)
This bachelor thesis contains digest of interesting weareable devices which focus or are usedin medicine. Information about the applications for mobile devices and medicine which aremade for usual wearable devices can be found in this thesis as well. The solution which isapplied on weareable devices which are used in medicine is also described here. The solutionis made for wearable device (watch) Garmin VivoActive Hr and a mobile phone which runson Android platform. Watch VivoActive Hr is placed around the wrist and it takes a shotof the movement and the pulse of the person. Thanks to the accelerometer it can identifythe number of steps which were taken during the day by the person. These data are sentfrom the watch to the smart phone which runs on the Android platform and the applicationwhich evaluates these data is able to send an SMS or an email if the situation is evaluatedas an emergency.
|
|
|
Wearables Development Technologies for YSoft SafeQ
Stárek, Jan ; Goldmann, Tomáš (referee) ; Orság, Filip (advisor)
Wearable devices grew in popularity in recent years. This fact contributes to increasing efforts to expand mobile and other applications to wearable devices. Exploring these possibilities, this thesis summarizes information on wearable devices and their typical operating systems, including available tools and restrains these systems offer. Based on the conclusion of theoretical part of this thesis an application for wearable devices is designed and implemented, specifically an application for printers that operate via SafeQ system developed in Y Soft Corporation.
|
|
|
Wearable Devices: Possibilities of Using and Applications
Herec, Jan ; Luža, Radim (referee) ; Samek, Jan (advisor)
This thesis focuses on wearable devices that are currently actual topic. It presents their history, communication methods and capabilities of application. It further describes created solution that demonstrates the application of wearable devices for controlling a robot. The solution consists of a wearable device named Myo armband, an Android application and a robot on the platform ROS (Robot operating system). A Myo armband has a form of a bracelet that is placed on a forearm and contains sensors such as a magnetometer, a gyroscope, an accelerometer and an EMG (electromyographic sensors for sensing muscle activity on which base certain gestures are recognized). The application is designed for controlling a mobile robot capable of moving forward, backward and veer based on gestures and movements of a hand on which a Myo armband is attached. For this purpose, the application reads the relevant data from a wearable device using Bluetooth LE (Low Energy), then evaluates them and sends control messages via Wi-Fi technology to a robot. The description of a robot is discussed in more detail further below. The usage of the application (which is the main contribution of the author) and a Myo armband enable to control a set of mobile robots driven by the Robotic operating system (ROS).
|
|
|
Classification of free living data
Rychtárik, Martin ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The topic of this bachelor thesis is classification of free living data, captured by the accelerometer sensor of a smart phone. The first part of the thesis deals with the possibilities of recording daily activity using accelerometer and subsequent classification by neural network. In the next section, the data of eight different daily activities were recorded on ten people. An algorithm containing a neural network was created for the data in the MATLAB programming environment to automatically identify the activities. In the last part of the work the algorithm classification was compared with manually recorded reference and the results were statistically evaluated.
|
|
|
Vital Signs Monitoring
Kratochvíl, Pavel ; Mrázek, Vojtěch (referee) ; Vašíček, Zdeněk (advisor)
Cieľom tejto práce je navrhnúť dizajn, implementovať prototyp a evaluovať funkčnosť systému pre monitorovanie životných funkcií. Navrhnuté riešienie je založené na Bluetooth Low Energy Mesh sieti, v ktorej sa nachádzajú zariadenia štyroch typov: batériou napájané nositeľné monitorovacie zariadenie zbierajúce fotopletysmografické dáta zo senzora a rozosielajúce extrahované informácie o frekvencii srdcového tepu a periférneho okysličenia subjektu do mesh siete; zariadenia preposielajúceho dáta v sieti (relay node); nosného zariadenia konfigurujúceho mesh sieť pri jej inicializácii (provisioner node) a koncového zariadenia, ktoré odosiela dáta prijaté v mesh sieti pomocou protokolu MQTT na internet. Batériou napájané monitorovacie zariadenia sú implementované na module nRF52833 od firmy Nordic Semiconductor, zatiaľ čo koncové zariadenia komunikujúce cez MQTT protokol využívajú ESP32 moduly od firmy Espressif. Analýza zozbieraných PPG dát je dosiahnutá dvojitou filtráciou (spredu a zozadu) pomocou Chebyshev II band-pass filtra štvrtého rádu, následovanou vyhladením dát s použitím kĺzavého priemeru a extrakciou indikátorov životných funkcií algoritmom s jediným priechodom v nazbieraných vzorkách. Vďaka výbornej energetickej úspornosti zariadení a minimálnej vyžadovanej infraštruktúre predstavuje navrhnutý systém vhodné riešenie pre zdravotnícke zariadenia s obmedzenými finančnými zdrojmi.
|
|
|
Validation of commercially available smartwatches as a human health/activity monitoring tool
Běhunčíková, Vendula ; Janoušek, Oto (referee) ; Němcová, Andrea (advisor)
This master's thesis deals with the topic of health and activity monitoring of individuals using smartwatches. The aim of the thesis was to collect a set of data according to a measurement protocol using various types of smartwatches, along with reference data from the Faros 180 device. The collected data from a total of nine smartwatches was synchronized, and the synchronized heart rate courses were evaluated using the mean absolute error (MAE) metric. The oxygen saturation and blood pressure parameters were statistically evaluated. In the final part of the thesis, the quality of ECG records obtained from the smartwatches and their diagnostic utility were assessed.
|
|
|
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.
|
|
|
Classification of free living data
Rychtárik, Martin ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The topic of this bachelor thesis is classification of free living data, captured by the accelerometer sensor of a smart phone. The first part of the thesis deals with the possibilities of recording daily activity using accelerometer and subsequent classification by neural network. In the next section, the data of eight different daily activities were recorded on ten people. An algorithm containing a neural network was created for the data in the MATLAB programming environment to automatically identify the activities. In the last part of the work the algorithm classification was compared with manually recorded reference and the results were statistically evaluated.
|
|
|
Wearables Development Technologies for YSoft SafeQ
Stárek, Jan ; Goldmann, Tomáš (referee) ; Orság, Filip (advisor)
Wearable devices grew in popularity in recent years. This fact contributes to increasing efforts to expand mobile and other applications to wearable devices. Exploring these possibilities, this thesis summarizes information on wearable devices and their typical operating systems, including available tools and restrains these systems offer. Based on the conclusion of theoretical part of this thesis an application for wearable devices is designed and implemented, specifically an application for printers that operate via SafeQ system developed in Y Soft Corporation.
|
guest ::
