Nosivi mjerni sustav za prepoznavanje i klasifikaciju poremećaja tečnosti govora

master's thesis

• Title (english): Wearable measurement system for detection and classification of speech fluency disorders
• Author: Nikola Gudan
• Mentor: Hrvoje Džapo (mentor)
• Committee member: Hrvoje Džapo (predsjednik povjerenstva)
• Committee member: Mario Cifrek (član povjerenstva)
• Committee member: Željka Lučev Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-16, Croatia

Abstract

U okviru rada projektirano je i izrađeno sklopovlje nosivog mjernog sustava za prepoznavanje i klasifikaciju poremećaja tečnosti govora. Sustav se sastoji od dva nosiva uređaja, središnje jedinice i narukvice. Središnja jedinica služi za snimanje zvuka, pohranu rezultata mjerenja, izvođenje algoritama strojnog učenja za prepoznavanje i klasifikaciju poremećaja tečnosti govora u stvarnom vremenu te komunikaciju s vanjskim sustavima. Sadrži mikrokontroler STM32F746VG, MEMS mikrofon, SD karticu i sat realnog vremena. Narukvica služi za mjerenje srčanog ritma korištenjem fotopletizmografskog (PPG) senzora MAX30101 i mjerenje impedancije kože (tj. elektrodermalnog odziva, EDR). Oba uređaja imaju podsustav za napajanje i punjenje litij-ionske baterije putem USB-C priključka te podsustav za Wi-Fi i Bluetooth komunikaciju temeljen na ESP32-C3-WROOM-02 modulu. Izrađen je prototip sustava i eksperimentalnom verifikacijom utvrđena je ispravnost rada svih elemenata.

Abstract (english)

In this thesis a wearable measurement system for detection and classification of speech fluency disorders was designed and built. The system consists of two wearable devices, a central unit and a bracelet. The central unit is used for sound recording, storage of measurement results, execution of machine learning algorithms for recognition and classification of speech fluency disorders in a real time, and communication with external systems. It contains an STM32F746VG microcontroller, a MEMS microphone, an SD card and a real-time clock. The bracelet is used to measure heart rate using the MAX30101 photoplethysmography (PPG) sensor and to measure skin impedance (i.e. electrodermal response, EDR). Both devices have a subsystem for power supply and lithium-ion battery charging via a USB-C port, and a subsystem for Wi-Fi and Bluetooth communication based on the ESP32-C3-WROOM-02 module. A prototype of the system was built and the experimentally verified.

• Keywords: MEMS mikrofon; SD kartica; PPG; EDR; Wi-Fi; Bluetooth; litij-ionska baterija; USB C sučelje
• Keywords (english): MEMS microphone; SD card; PPG; EDR; Wi-Fi; Bluetooth; Lithium-Ion Battery; USB C Interface
• Language: croatian
• URN:NBN: urn:nbn:hr:168:214131
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 20:45:12