Method of Wireless Sensor Network Node Deployment for the Emergency Environment

Ge, Liang; Wang, Qing; Hu, Pan; Hu, Ze; Liao, Junbi

doi:10.3991/ijoe.v13i08.7422

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…If this is not followed up by the officer, it will have a negative impact on the patient. Empathy is important [24]. The attitude and sincerity of the officers is a priority that must be corrected because the assessment is not good for the patients themselves [25].…”

Section: Empathymentioning

confidence: 99%

Evaluating the Management Information System of Integrated Medical Emergency Care in Batang Regency, Indonesia

2020

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An emergency can happen anywhere and anytime, especially in developing countries with a high potential for emergencies, such as Eastern European countries as well as Indonesia. This study aimed to find out the quality of PSC 119 Si Slamet as a prehospital emergency service innovation. The data collection in this study was carried out in a location, namely, Batang Regency, Indonesia, in May–June 2018. The qualitative data collection methods used in this study are in-depth interviews and document reviews. This study was using Service Quality (Servqual) questionnaire. The results show that PSC 119 Si Slamet provides easy access to emergency services to the community 24 hours a day and 7 days a week by simply calling 119 numbers, sending messages via SMS and WhatsApp, or using the Android-based application, with a maximum response time target of 10 minutes. Batang is one of the regencies (rural area) in Central Java province, located on the main coastline, with a hilly geographic condition with many derivatives, climbs, and sharp curves, which is one of the causes of the high number of traffic accidents in the area. This emergency care information systems, with Android-based application, was aimed at improving the quality of services in the health sector, especially emergency services. This service is of good quality as seen from the tangible, reliability, responsiveness, assurance, and empathy dimensions. However, in the implementation, the socialization aspect is not the best to some people. The recommendation given was the need to increase the PSC 119 socialization of Si Slamet not only regionally but also internationally to be massive, especially in developing countries.

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Section: Empathymentioning

confidence: 99%

Evaluating the Management Information System of Integrated Medical Emergency Care in Batang Regency, Indonesia

2020

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“…Wireless Sensor Network (WSN) has been more commonly used in monitoring systems involving IoT. WSN are low powered interconnected sensors linked wirelessly to collect information about the surrounding environment [12]- [14]. Countless monitoring systems are being developed to monitor multiple parameters at the same time.…”

Section: Introductionmentioning

confidence: 99%

Bio-FET Sensor Interface Module for COVID-19 Monitoring Using IoT

et al. 2022

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Rapid transmission of the coronavirus disease via droplets and particles has led to a global pandemic. Expeditious detection of SARS-Cov-2 RNA in the environment is attainable by using Bio-FET sensors. This work proposes a Bio-FET sensor interface module with IoT implementation to amplify signals from a Bio-FET for SARS-Cov-2 detection and monitoring. The sensor interface module was programmed to read the signals using a micro-controller and process information to determine the presence of SARS-Cov-2. The proposed Bio-FET sensor interface module was also set to transmit data to the Cloud via W-Fi to be stored and displayed on a dashboard. The prototype Bio-FET sensor interface module was simulated in PSpice for signal amplification, and hardware implementation has been done by using low-cost components for data transmission to the Cloud. The hardware consists of an AD620 instrumentation amplifier module, voltage sensor module, Neo-6m GPS sensor module, an OLED display, and an ESP8266-32 bit micro-controller. The results of both the simulation and the hardware implementation are similar. The emulated negative and positive Bio-FET signal outputs were successfully amplified from 15.9mV and 45.8mV to 1.59V and 4.58V, respectively, using an AD620 instrumentation amplifier. The gathered location, time, date, output voltage, and SARS-Cov-2 presence results were successfully stored and displayed on the Cloud dashboard.

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