Photoplethysmography and its application in clinical physiological measurement
By John Allen. Physiological Measurement, 2007
3,320 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery
View Paper: https://www.semanticscholar.org/paper/61f524d118170296b53b3407ef614164c252d4c6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Daniel J. McDuff
- Zhilin Zhang
- Arturas Kaklauskas
- Vytautas Bucinskas
- Andrius Dzedzickis
- Miroslav Muzny
- Enric Monte‐Moreno
- Francisco Flórez-Revuelta
In Cardiology and Cardiovascular Medicine
- Zhilin Zhang
- Daniel J. McDuff
- Arturas Kaklauskas
- Vytautas Bucinskas
- Andrius Dzedzickis
- Miroslav Muzny
- Enric Monte‐Moreno
- Francisco Flórez-Revuelta
In Surgery
- Miroslav Muzny
- Enric Monte‐Moreno
- Francisco Flórez-Revuelta
- Thomas Martin Deserno
- R. Swaminathan
- Gunnar Hartvigsen
- Arturas Kaklauskas
- Rosalind W. Picard
Citations in the corpus
- From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices (2016, methodology): “Optical sensors may also be used to measure the parameters of ADLs [21], which include photoplethysmography, fiber optic sensors, infrared sensors and radio frequency sensors.”
- Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health (2019, background): “There are other available technologies to potentially overcome this issue, such as balancing with the use of red light sensors (referred to as near infrared spectroscopy) [7,11]; however, nearly all large manufacturers of these devices rely solely on green light sensors through a process called phot”
- The use of photoplethysmography for assessing hypertension (2019, background): “PPG technology thus represents a convenient and low-cost technology(23) that can be applied to various aspects of cardiovascular monitoring, including the detection of blood oxygen saturation, heart rate, BP, cardiac output, respiration, arterial aging, endothelial function, microvascular blood flow”
- Empatica E3 — A wearable wireless multi-sensor device for real-time computerized biofeedback and data acquisition (2014, background): “The E3 is equipped with a PPG sensor that illuminates the skin and measures the light reflected [8].”
- Deep Learning on 1-D Biosignals: a Taxonomy-based Survey (2018, background): “PPG is sensitive to any heart irregularity [28] and considered as reliable biomarker for detection of cardiac arrhythmias.”
- Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables (2018, methodology): “PPG is an optical technique to estimate HR by monitoring changes in blood volume beneath the skin [17].”
- Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review (2017, neutral): “The PPG is a measure of changes in blood volume over time in a bed of tissue [22].”
- Remote plethysmographic imaging using ambient light (2008, background): “1 Hz) are typically not considered in PPG due to the fact that calibration of such signals is difficult [13].”
- Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques (2011, methodology): “[8] Allen J.”
- TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise (2014, methodology): “PPG signals [1], [2] are optically obtained by pulse oximeters.”