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Firmware for the Robotic Vehicle
Otava, Lukáš ; Sojka,, Michal (referee) ; Kučera, Pavel (advisor)
This thesis is focused on a firmware for robotic vehicle based on the ARM Cortex-M3 architecture that is running a real-time operating system (RTOS). Theoretical part describes available solutions of embedded RTOS and concrete HW implementation of the robotic vehicle. There is also comparison of the three selected RTOS with their measurements. Result of this thesis is base firmware compounded by a program modules that controls HW parts. There is also a sample PC and firmware application that extends base firmware. This sample application is able to communicate with robotic vehicle, control wheel motion and measure process data.
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Minidarpa robot - sensors
Sedlák, Luboš ; Šembera, Jaroslav (referee) ; Kopečný, Lukáš (advisor)
Bachelor's thesis be concerned with sensoric system of mobile robot Minidarpa. It means sonar which locate space ahead robot, camera for navigation, electronic compass to compute the direction of the Earth magnetic field and accelerometer which designates tilt, speed and position.
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Measurement of movement on the heart
Soukup, Tomáš ; Dlouhý, Jiří (referee) ; Švrček, Martin (advisor)
This bachelor´s thesis is described measurement of movement on the heart. System is composed by microcontroller Freescale MC68HC908GP32 and accelerometer Freescale MMA2260D. The microcontroller is direct element of application. The accelerometer is scanner of movement, whitch increases movement to direct microcontroller. The microcontroller depicts of measurement of moment in the display. Repeated measuremented movement is return depicts in the display, over direct microcontroller.
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Accelerometer-based quality estimation and segmentation of ECG signal and compression of high-quality segments
Opravilová, Kamila ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This diploma thesis is devoted to segmentation of ECG signal based on its quality and compression of quality segments suitable for diagnostics (in telemedicine). A completely new approach is to use accelerometer data to estimate ECG signal quality. This is possible thanks to the Bittium Faros mobile recorder. It records both the ECG signal motion – accelerometric data. A total of 34 features were extracted from accelerometric data. Using these features the predictive model was taught to classify the ECG signal into 3 quality groups according to the level of noise. Quality segments were compressed. The wavelet transform in combination with high-frequency bands zeroing and length encoding was used as a compression method.
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Motor pump control unit
Novák, Vlastimil ; Novotný, Pavel (referee) ; Píštěk, Václav (advisor)
Vlastimil Novak Motor pump control unit DW, IAE, 2008, 48 pp. 54 fig. The terget of diploma work is measure od progression of vibration on motor pump control unit of electro-hydraulic servo unit placed on a vehicle. At first, a proposal of testing of vehicle for given characteristics have been created and placement of sensors and compare measured data of load of control unit in different vehicle ride modes.
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Wireless security device
Nejedlý, Tomáš ; Prokopec, Jan (referee) ; Frýza, Tomáš (advisor)
This project deals with design and study wireless security device. This device works in ISM band, created by two modules handling secure subject. Microprocessor AVR from company Atmel provides communication between these modules.
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Application of inertial sensors in physiotherapy
Doležalová, Eva ; Sládková, Petra (advisor) ; Oborná, Pavlína (referee)
OF BACHELOR THESIS: Author's first name and surname: Eva Doležalová Bachelor thesis supervizor: MUDr. Bc. Petra Sládková Bachelor thesis consultant: Mgr. Štěpánka Kozlerová Oponent: Title of bachelor thesis: Application of inertial sensors in physiotherapy Key words: inertial sensors, fyzioterapie, accelerometr, gyroskop, functional independence measures, neurorehabilitation Abstract: Inertial sensors are devices that allow monitoring of the movement. They are used also in physiotherapy, where they are applied to analyze walking and to detect falls. My bachelor thesis is focused on the possibility of using inertial sensors for monitoring patients affected by upper extremity. The theoretical part contains an outline of chosen foreign studies that deal with this issue. The second part is about theoretical neurorehabilitation, which is an important part of treatment for patients after brain damage. The practical part is processed in the form of quantitative research. The aim was to obtain and correlate the values obtained before and after the rehabilitation process. It was a total daily activity of upper limbs, which was measured by inertial sensors and the results of functional independence measures (FIM).
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Accelerometer-based quality estimation and segmentation of ECG signal and compression of high-quality segments
Opravilová, Kamila ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This diploma thesis is devoted to segmentation of ECG signal based on its quality and compression of quality segments suitable for diagnostics (in telemedicine). A completely new approach is to use accelerometer data to estimate ECG signal quality. This is possible thanks to the Bittium Faros mobile recorder. It records both the ECG signal motion – accelerometric data. A total of 34 features were extracted from accelerometric data. Using these features the predictive model was taught to classify the ECG signal into 3 quality groups according to the level of noise. Quality segments were compressed. The wavelet transform in combination with high-frequency bands zeroing and length encoding was used as a compression method.
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Application of inertial sensors in physiotherapy
Doležalová, Eva ; Sládková, Petra (advisor) ; Oborná, Pavlína (referee)
OF BACHELOR THESIS: Author's first name and surname: Eva Doležalová Bachelor thesis supervizor: MUDr. Bc. Petra Sládková Bachelor thesis consultant: Mgr. Štěpánka Kozlerová Oponent: Title of bachelor thesis: Application of inertial sensors in physiotherapy Key words: inertial sensors, fyzioterapie, accelerometr, gyroskop, functional independence measures, neurorehabilitation Abstract: Inertial sensors are devices that allow monitoring of the movement. They are used also in physiotherapy, where they are applied to analyze walking and to detect falls. My bachelor thesis is focused on the possibility of using inertial sensors for monitoring patients affected by upper extremity. The theoretical part contains an outline of chosen foreign studies that deal with this issue. The second part is about theoretical neurorehabilitation, which is an important part of treatment for patients after brain damage. The practical part is processed in the form of quantitative research. The aim was to obtain and correlate the values obtained before and after the rehabilitation process. It was a total daily activity of upper limbs, which was measured by inertial sensors and the results of functional independence measures (FIM).
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Motor pump control unit
Novák, Vlastimil ; Novotný, Pavel (referee) ; Píštěk, Václav (advisor)
Vlastimil Novak Motor pump control unit DW, IAE, 2008, 48 pp. 54 fig. The terget of diploma work is measure od progression of vibration on motor pump control unit of electro-hydraulic servo unit placed on a vehicle. At first, a proposal of testing of vehicle for given characteristics have been created and placement of sensors and compare measured data of load of control unit in different vehicle ride modes.
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