Fuzzy entropy based motion artifact detection and pulse rate estimation for fingertip photoplethysmography

2014 ◽  
Author(s):  
Neeraj Paradkar ◽  
Shubhajit Roy Chowdhury
Keyword(s):  
Pulse Rate ◽  
Motion Artifact ◽  
Fuzzy Entropy ◽  
Artifact Detection ◽  
Rate Estimation

Accuracy of Pulse Rate Estimation Using Hetero-Core Fiber Optics

2021 ◽  
Author(s):  
Hiroki Kamada ◽  
Yuya Koyama ◽  
Michiko Nishiyama ◽  
Kazuhiro Watanabe
Keyword(s):  
Fiber Optics ◽  
Pulse Rate ◽  
Rate Estimation ◽  
Core Fiber

scholarly journals Development of a Wearable Reflection-Type Pulse Oximeter System to Acquire Clean PPG Signals and Measure Pulse Rate and SpO2 with and without Finger Motion

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1905
Author(s):  
Partha Pratim Banik ◽  
Shifat Hossain ◽  
Tae-Ho Kwon ◽  
Hyoungkeun Kim ◽  
Ki-Doo Kim
Keyword(s):  
Pulse Rate ◽  
Pulse Oximeter ◽  
Electronic Circuit ◽  
Absolute Error ◽  
Motion Artifact ◽  
Motion Artifacts ◽  
Percentage Error ◽  
Signal Acquisition ◽  
Analog Filter ◽  
Finger Motion

Clinical devices play a vital role in diagnosing and monitoring people’s health. A pulse oximeter (PO) is one of the most common clinical devices for critical medical care. In this paper, we explain how we developed a wearable PO. We propose a new electronic circuit based on an analog filter that can separate red and green photoplethysmography (PPG) signals, acquire clean PPG signals, and estimate the pulse rate (PR) and peripheral capillary oxygen saturation (SpO2). We propose a PR and SpO2 measurement algorithm with and without the motion artifact. We consider three types of motion artifacts with our acquired clean PPG signal from our proposed electronic circuit. To evaluate our proposed algorithm, we measured the accuracy of our estimated SpO2 and PR. To evaluate the quality of our estimated PR (bpm) and SpO2 (%) with and without the finger motion artifact, we used the quality evaluation metrics: mean absolute percentage error (MAPE), mean absolute error (MAE), and reference closeness factor (RCF). Without the finger motion condition, we found that our proposed wearable PO device achieved an average 2.81% MAPE, 2.08 bpm MAE, 0.97 RCF, and 98.96% SpO2 accuracy. With a finger motion, the proposed wearable PO device achieved an average 4.5% MAPE, 3.66 bpm MAE, 0.96 RCF, and 96.88% SpO2 accuracy. We also show a comparison of our proposed PO device with a commercial Fingertip PO (FPO) device. We have found that our proposed PO device performs better than the commercial FPO device under finger motion conditions. To demonstrate the implementation of our wearable PO, we developed a smartphone app to allow the PO device to share PPG signals, PR, and SpO2 through Bluetooth communication. We also show the possible applications of our proposed PO as a wearable, hand-held PO device, and a PPG signal acquisition system.

scholarly journals Pulse rate analysis in case of central sleep apnea: A new algorithm for cardiac rate estimation

2009 ◽  
Author(s):  
Quang-Vinh Nguyen ◽  
R. Le Page ◽  
J.-M. Goujon ◽  
P. Guyader ◽  
M. Billon
Keyword(s):  
Sleep Apnea ◽  
Pulse Rate ◽  
Central Sleep Apnea ◽  
Cardiac Rate ◽  
Rate Estimation ◽  
Rate Analysis

Scope of Video Magnification in Human Pulse Rate Estimation

2017 ◽  
Author(s):  
Ghulam Abbas ◽  
Muhammad Jaleed Khan ◽  
Rizwan Qureshi ◽  
Khurram Khurshid
Keyword(s):  
Pulse Rate ◽  
Rate Estimation

A Pulse Rate Estimation Algorithm Using PPG and Smartphone Camera

2016 ◽  
Vol 40 (5) ◽  
Author(s):  
Sarah Ali Siddiqui ◽  
Yuan Zhang ◽  
Zhiquan Feng ◽  
Anton Kos
Keyword(s):  
Pulse Rate ◽  
Estimation Algorithm ◽  
Rate Estimation

The Multi Wavelength Arrayed Flexible PPG Sensing Patch for to Estimate Heart Rate and Blood Oxygen

2020 ◽  
Author(s):  
Yu-Ting Chen ◽  
Tse-Yi Tu ◽  
Paul C.-P. Chao
Keyword(s):  
Heart Rate ◽  
Continuous Monitoring ◽  
Motion Artifact ◽  
Blood Oxygen ◽  
Rate Estimation ◽  
Multi Wavelength ◽  
Long Time ◽  
Heart Rate Estimation

Abstract This study aims to develop the Photoplethysmography (PPG) sensor patch for to estimate the heart rate (HR) and blood oxygen (SpO2). A newly developed multi wavelength arrayed flexible OLED-OPD PPG sensing patch elevates the performance of motion artifact for not only for heart rate estimation but also blood oxygen estimation. The PPG sensing patch ensures the long-time continuous monitoring of the PPG signal from the wrist artery during sleeping, walking and cycling. The accuracy of the HRs is 92% and the accuracy of SpO2 is 95%.

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