IoT Based Pulse Oximeter for Remote Health Assessment: Design, Challenges and Futuristic Scope

Revathi, K.; Tamilselvi, T.; Gomathi, G.; Divya, R.

doi:10.37391/ijeer.100325

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Revathi et al [14] explored the interdependence exists among ECG and photoplethysmography (PPG) signals and usage of the same in obtaining noninvasive methods for blood pressure assessment. A cost effective pulse oximeter is proposed and its efficacy is evaluated across volunteers by Revathi et al [15]. The scope for complete vital monitor design with reduced circuitry is also discussed.…”

Section: A Related Workmentioning

confidence: 99%

A Smart Remote Monitoring System for Prenatal Care in Rural Areas

Dhanwanth¹,

Saravanakumar²,

Tamilselvi³

et al. 2023

IJRITCC

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The complications in maternity especially the women lives in rural sector can be reduced through regular monitoring of their vitals like blood pressure, SpO2 and fetal growth. The internet of things (IoT) is the modern technology bridges the gap between the traditional clinical setting with its consumers as well promotes the telemedicine industry into great levels of accessing proactive healthcare facilities. The predominant aim of this work is to bring a remote monitoring device which assesses the significant health indicators of the pregnant women and their fetus status cost effectively. In order to build such kit, the biosensors like heart rate, SpO2, pressure, temperature and load cell which gives the weight of the fetus are integrated into Arudino board. The sensor readings are processed through ThingSpeak. The timely medical attention is proposed upon observing abnormal physiological vitals of the women which is implemented through a buzzer system in this device. Like such devices in realism help to predict the pregnancy risk and decrease the mortality rate.

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Section: A Related Workmentioning

confidence: 99%

A Smart Remote Monitoring System for Prenatal Care in Rural Areas

Dhanwanth¹,

Saravanakumar²,

Tamilselvi³

et al. 2023

IJRITCC

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Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions

Al Khatib,

Shamayleh,

Ndiaye

2024

Informatics

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In recent years, the Internet of medical things (IoMT) has become a significant technological advancement in the healthcare sector. This systematic review aims to identify and summarize the various applications, key challenges, and proposed technical solutions within this domain, based on a comprehensive analysis of the existing literature. This review highlights diverse applications of the IoMT, including mobile health (mHealth) applications, remote biomarker detection, hybrid RFID-IoT solutions for scrub distribution in operating rooms, IoT-based disease prediction using machine learning, and the efficient sharing of personal health records through searchable symmetric encryption, blockchain, and IPFS. Other notable applications include remote healthcare management systems, non-invasive real-time blood glucose measurement devices, distributed ledger technology (DLT) platforms, ultra-wideband (UWB) radar systems, IoT-based pulse oximeters, accident and emergency informatics (A&EI), and integrated wearable smart patches. The key challenges identified include privacy protection, sustainable power sources, sensor intelligence, human adaptation to sensors, data speed, device reliability, and storage efficiency. The proposed mitigations encompass network control, cryptography, edge-fog computing, and blockchain, alongside rigorous risk planning. The review also identifies trends and advancements in the IoMT architecture, remote monitoring innovations, the integration of machine learning and AI, and enhanced security measures. This review makes several novel contributions compared to the existing literature, including (1) a comprehensive categorization of IoMT applications, extending beyond the traditional use cases to include emerging technologies such as UWB radar systems and DLT platforms; (2) an in-depth analysis of the integration of machine learning and AI in IoMT, highlighting innovative approaches in disease prediction and remote monitoring; (3) a detailed examination of privacy and security measures, proposing advanced cryptographic solutions and blockchain implementations to enhance data protection; and (4) the identification of future research directions, providing a roadmap for addressing current limitations and advancing the scientific understanding of IoMT in healthcare. By addressing current limitations and suggesting future research directions, this work aims to advance scientific understanding of the IoMT in healthcare.

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Modeling and Simulation of an Optical Sensor for Cancer Cell Detection

Kumar

Bharti

Bindal

2022

IJEER

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In this article, modeling of ring resonator for the identification of the various cancer cells has been proposed. The model exhibits high Q factor and high selectivity for sensing various cancer cells. The parameters of the design are optimized for sensing cancer cells in the sample based on its distinct refractive index. The proposed device has been modeled by the FDTD simulation method which confirms satisfactorily distinct resonant wavelengths for various cancer cells. The device has explored the feasibility of label-free cancer cell sensing with improved characteristics.

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IoT Based Pulse Oximeter for Remote Health Assessment: Design, Challenges and Futuristic Scope

Cited by 3 publications

References 28 publications

A Smart Remote Monitoring System for Prenatal Care in Rural Areas

A Smart Remote Monitoring System for Prenatal Care in Rural Areas

Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions

Modeling and Simulation of an Optical Sensor for Cancer Cell Detection

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