Wireless heart rate and oxygen saturation monitor

Ayance, Adán Torralba; Ramírez, Héctor Santiago; Pérez, Joshue; Treviño‐Palacios, Carlos G.

doi:10.1063/1.5095913

Cited by 3 publications

(1 citation statement)

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“…Some of the IoT pulse oximetry systems are designed to be used in a limited area with wireless communication. Example implementations for these methods are personal ad-hoc wireless networks using Wi-Fi with station mode (STA) and point access mode (AP) [2] and wireless sensor networks (WSN) using ZigBee [3]. Some other existing efforts have been focused on real-time personal pulse oximetry monitoring with reduced data transferring time by using ISO/IEEE 11073 message format and server-side data processing in order to reduce the average response time to 251 milliseconds [4].…”

Section: Introductionmentioning

confidence: 99%

Two Optimized IoT Device Architectures Based on Fast Fourier Transform to Monitor Patient’s Photoplethysmography and Body Temperature

Kodithuwakku

Arachchi

Thiha

et al. 2021

The 1st International Electronic Conference on Algorithms

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The measurement of blood-oxygen saturation (SpO2), heart rate (HR), and body temperature are very critical in monitoring patients. Photoplethysmography (PPG) is an optical method that can be used to measure heart rate, blood-oxygen saturation, and many analytics about cardiovascular health of a patient by analyzing the waveform. With the COVID-19 pandemic, there is a high demand for a product that can remotely monitor such parameters of a COVID-19 patient. This paper proposes two major design architectures for the product with optimized system implementations by utilizing the ESP32 development environment and cloud computing. In one method, it discusses edge computing with the fast Fourier transform (FFT) and valley detection algorithms to extract features from the waveform before transferring data to the cloud, and the other method transfers raw sensor values to the cloud without any loss of information. This paper especially compares the performance of both system architectures with respect to bandwidth, sampling frequency, and loss of information.

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Section: Introductionmentioning

confidence: 99%