Pregled bibliografske jedinice broj: 1025012
Mobile ECG and SPO2 Chest Pain Subjective Indicators of Patient with GPS Location in Smart Cities
Mobile ECG and SPO2 Chest Pain Subjective Indicators of Patient with GPS Location in Smart Cities // Interdisciplinary description of complex systems, 17 (2019), 3-B; 629-639 doi:10.7906/indecs.17.3.17 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1025012 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mobile ECG and SPO2 Chest Pain Subjective Indicators of Patient with GPS Location in Smart Cities
Autori
Šoštarić, Damir ; Mester, Gyula ; Dorner, Sanja
Izvornik
Interdisciplinary description of complex systems (1334-4684) 17
(2019), 3-B;
629-639
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
mobile ECG/SPO2, chest pain, WSN, GPS, smart cities
Sažetak
Subjective indicators of chest pain in this article describe a system based on devices for measuring ECG (Electrocardiogram) and SPO2 (Saturation of peripheral Oxygen) signals with PPG (Photoplethysmograph). The development system used for ECG detection signals is created in the SMT technology technique. Preparing for ECG (Electrocardiogram) signal analysis is realized on the coordinator side of the WSN (Wireless Sensor Network) node and LabView application interface. Existing model RPC-50E, as SPO2 detector is used for a measurement device. SPO2 performance upgrade was realized by installing hardware module XBee PRO S2B in the function of router-end device working mode. Except for ZigBee wireless transmission technology, it leaves a possibility to expand with Bluetooth module. The technical description is strictly related to the location of the patients using the GPS signal when it comes to undesirable measuring sizes of each decentralized measuring device. Possibilities to measure beats per second (bps) is also included in the measurement device for saturation of peripheral oxygen. Smart city integration is part of upgraded hardware which operates on the level of hospital cloud. With existing smart city infrastructure, it is easier to connect mobile IoT (Internet of Things) logger of ECG and SPO2 measurements. This article describes only the main reasons for chest pain. Acute and chronic chest pain is defined with ECG signal waveforms in certain cases. Measuring graphs are based on 12 measurement points that lead to the electrocardiogram device.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne prirodne znanosti, Elektrotehnika, Informacijske i komunikacijske znanosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- EconLit
