Primerjalna analiza meritev prstana Senstream Research Ring pri različnih telesnih aktivnostih

Rožič, Jakob (author), Geršak, Gregor (mentor), Stanić, Valentina (comentor)

Diplomsko delo obravnava primerjavo treh sistemov za merjenje elektrodremalne aktivnosti: stacionarnega sistema BIOPAC MP150 z modulom EDA100C, brezžičnega sistema BioNomadix BN-PPGED in nosljivega merilnega prstana Senstream Research Ring. Namen dela je bil ovrednotiti kakovost zajetega signala, odziv sistemov na prehod iz mirovanja v gibanje ter vpliv mehanske zasnove in pritrditve senzorjev na meritve. Meritve so bile izvedene na istem preiskovancu v treh ponovitvah in so vključevale mirovanje, hojo ter tek. Signali so bili obdelani v Pythonu s knjižnico NeuroKit2. Analizirani so bili tonična komponenta SCL, število zaznanih vrhov SCR, spremembe SCL med fazami in korelacije toničnih trendov med napravami. Rezultati kažejo, da se vsi sistemi odzivajo na spremembe eksperimentalnih faz, vendar se razlikujejo po absolutnih vrednostih, stabilnosti signala in občutljivosti na gibanje. Pri dinamičnih meritvah se je kot ključen dejavnik izkazala stabilnost mehanskega stika med senzorjem in kožo.

• Language: Slovenian
• Keywords: elektrodremalna aktivnost, prevodnost kože, artefakti gibanja, BIOPAC EDA100C, BioNomadix, Senstream Research Ring
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FE - Faculty of Electrical Engineering
• Year: 2026
• PID: 20.500.12556/RUL-184543
• COBISS.SI-ID: 287961859
• Publication date in RUL: 09.07.2026

Secondary language

• Language: English
• Title: Comparative Analysis of Senstream Research Ring Measurements Across Various Physical Activities

Abstract

The thesis compares three systems for measuring electrodermal activity: the stationary BIOPAC MP150 system with the EDA100C module, the wireless BioNomadix BN-PPGED system, and the wearable Senstream Research Ring. The aim was to evaluate signal quality, system response during the transition from rest to movement, and the influence of sensor design and attachment on the measurements. Measurements were performed on the same participant in three repetitions and included rest, walking, and running phases. The signals were processed in Python using the NeuroKit2 library. The analysis focused on the tonic SCL component, the number of detected SCR peaks, changes in SCL between phases, and correlations of tonic trends between devices. The results show that all three systems respond to changes between experimental phases, but differ in absolute values, signal stability, and sensitivity to movement. During dynamic measurements, the stability of mechanical contact between the sensor and the skin proved to be a key factor.

• Keywords: electrodermal activity, skin conductance, motion artifacts, BIOPAC EDA100C, BioNomadix, Senstream Research Ring