PulseSensor in Published Research

Lane 2 · The PulseSensor research record

Published uses, open tools, and research directions

See where genuine PulseSensor hardware appears in published work, then learn what the current sensor and open-source code can support in a careful experiment.

17verified works
2018–2026publication years
1–4+sensor setups

Confirmed publications

How researchers and educators used PulseSensor

Open any entry for the citation, the reported hardware use, source links, and related learning links where available. PulseSensor-hosted PDFs are available where the publication license permits redistribution; other works retain their original access links.

2026Exploring techniques to assess stress-related physiological responses in captive African penguins

C. Currin, A. Ganswindt, L. Pichegru

MethodsX 16:103860. doi:10.1016/j.mex.2026.103860.

Animal researchHeart ratePrototype
How PulseSensor was usedPulseSensor hardware from World Famous Electronics was incorporated into a dummy egg to record heartbeats from incubating African penguins. Appendix A identifies the sensor and describes sampling its output at 500 Hz.

The prototype produced reliable heart-rate readings during about 5% of the recording time; the authors identify contact and movement as limitations requiring design improvements.

2024A Guide to Measuring Heart and Respiratory Rates Based on Off-the-Shelf Photoplethysmographic Hardware and Open-Source Software

Guylian Stevens, Luc Hantson, Michiel Larmuseau, Jan R. Heerman, Vincent Siau, and Pascal Verdonck

Sensors 24(12):3766. doi:10.3390/s24123766.

Heart rateRespiratory rateFour sensorsOpen source
How PulseSensor was usedThe researchers used four PulseSensors to collect PPG signals from 15 participants and derive heart and respiratory rates for comparison with commercial wearable devices.

Published version · PDF · 11.3 MB. Unchanged copy hosted by PulseSensor. © 2024 the authors named above. CC BY 4.0. Original citation and source links retained; no endorsement implied.

2024Arterial Pulse Wave Velocity: Prototype Device Based on Photoplethysmography

Diego Silva, Joaquín Palma, and Leonardo Casal

In Advances in Bioengineering and Clinical Engineering, SABI 2023 proceedings, pp. 144–152. doi:10.1007/978-3-031-61960-1_14.

Multiple sensorsPulse arrival timingPWV research
How PulseSensor was usedMultiple PulseSensors recorded PPG at peripheral sites including the finger, wrist, and arm so the prototype could compare relative pulse timing and calculate experimental pulse-wave velocity.
2024Influence of interoception and body movement on the rubber hand illusion

Kaneno Y, Pasqualotto A, Ashida H.

Frontiers in Psychology 15:1458726. doi:10.3389/fpsyg.2024.1458726.

InteroceptionPsychologyArduino
How PulseSensor was usedA World Famous Electronics PulseSensor kit measured pulse waves at the left index fingertip during a heartbeat-counting task. An Arduino Uno R3 counted pulses, and recorded waveforms were checked later as part of the study of interoception and the rubber hand illusion.
2024A real-world dataset of group emotion experiences based on physiological data

Patrícia Bota, Joana Brito, Ana Fred, Pablo Cesar, Hugo Silva

Scientific Data 11(1):116. doi:10.1038/s41597-023-02905-6.

Open datasetEmotion researchWearable
How PulseSensor was usedThe EmotiphAI wearable combined a PulseSensor PPG sensor with a BITalino electrodermal-activity sensor on a modified ScientISST CORE platform. The researchers used it to collect physiological recordings for a dataset of group emotion experiences.
2023Physical Noninvasive Attacks on Photoplethysmogram by Computer Controlled Blood Pressure Cuff

Yoshida K, Sawano R, Okamoto M, Murao K, Tsuchida S, Terada T.

Sensors 23(24):9764. doi:10.3390/s23249764.

Measurement integrityPPGReference signals
How PulseSensor was usedTwo PulseSensor devices recorded pulse waves from the index fingers while researchers investigated how controlled upper-arm cuff compression could alter smartwatch heart-rate readings. The implementation section explicitly identifies pulsesensor.com as the pulse-sensor manufacturer.
2023PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User Studies

Joshi J, Wang K, Cho Y.

Sensors 23(19):8244. doi:10.3390/s23198244.

Open-source toolkitTwo sensorsBeat timing
How PulseSensor was usedThe researchers connected two PulseSensors to an Arduino Due to demonstrate and validate the PhysioKit acquisition and processing toolkit. The paper evaluates heart-rate and pulse-interval variability measurements derived from PPG.
2023A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study

McLean MK, Weaver RG, Lane A, Smith MT, Parker H, Stone B, McAninch J, Matolak DW, Burkart S, Chandrashekhar MVS, Armstrong B.

Sensors 23(7):3429. doi:10.3390/s23073429.

Signal qualityChest placementExercise
How PulseSensor was usedFor the laboratory cycling dataset, researchers used a chest-mounted PPG sensor purchased from PulseSensor.com and collected its output with an Arduino. The study compared heart-rate estimates with a Polar H10 ECG reference while evaluating a sliding-scale signal-quality metric.
2022External Factors That Affect the Photoplethysmography Waveforms

Irene Pi, Isleen Pi, and Wei Wu

SN Applied Sciences 4:21. doi:10.1007/s42452-021-04906-9.

Waveform morphologyContact forceTemperature
How PulseSensor was usedTwo PulseSensors purchased from PulseSensor.com were used in reflection and transmission arrangements to examine how touch force and fingertip temperature changed PPG waveform shape and amplitude.

Published version · PDF · 1.4 MB. Unchanged copy hosted by PulseSensor. © 2021 the authors named above. CC BY 4.0. Original citation and source links retained; no endorsement implied.

2022Impact of Sampling Rate and Interpolation on Photoplethysmography and Electrodermal Activity Signals’ Waveform Morphology and Feature Extraction

R. Silva, G. Salvador, P. Bota, A. L. N. Fred, and H. Silva

Neural Computing and Applications. doi:10.1007/s00521-022-07212-6.

Sampling rateInterpolationSignal processing
How PulseSensor was usedA previously recorded PulseSensor PPG dataset was downsampled and reconstructed to study how acquisition rate and interpolation affect waveform morphology and extracted features.
2022Visualize Your Pulse With Physical Computing

James Newland and Sissy S. Wong

The Science Teacher 90(2):50–55.

EducationArduinoPhysical computing
How PulseSensor was usedThe classroom lesson explicitly recommends the World Famous Electronics open-hardware PulseSensor and PulseSensor Playground library for collecting, plotting, and interpreting students’ pulse data.
2022Preliminary study: quantification of chronic pain from physiological data

Zhuowei Cheng, Franklin Ly, Tyler Santander, Elyes Turki, Yun Zhao, Jamie Yoo, Kian Lonergan, Jordan Gray, Christopher H. Li, Henry Yang, Michael Miller, Paul Hansma, Linda Petzold

Pain Reports 7(6):e1039. doi:10.1097/pr9.0000000000001039.

Exploratory studyMultiple sitesPain research
How PulseSensor was usedThe Prototype Pain Meter used commercially available Pulse Sensor Amplified devices from pulsesensor.com alongside temperature and other sensors. The analysis combined pulse recordings from the temple, carotid region, and index finger to investigate associations with self-reported chronic pain.

This was a preliminary investigation of physiological associations with pain, rather than an established clinical pain-measurement method.

2022Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time

Yoshida K, Murao K.

Sensors 22(3):1090. doi:10.3390/s22031090.

Sensor placementPulse arrival timingECG reference
How PulseSensor was usedA PulseSensor.com device and an Olimex ECG shield were connected to an Arduino Uno Rev3 to collect synchronized pulse-wave and ECG data. The researchers used differences in pulse arrival timing to estimate where a wearable sensor was positioned on the body.
2020Cardiorespiratory Optimized Guided-Breathing for Post-Stress Recovery in a Group Setting

Debanjan Borthakur

Master’s thesis, McMaster University. hdl:11375/25887.

Guided breathingPulse-rate variabilityStress research
How PulseSensor was usedPulseSensor Amped supplied PPG and beat-timing data for a group study comparing slow guided breathing and relaxing music following a stress task.
2019Low-Noise Photoplethysmography Sensor Using Correlated Double Sampling for Heartbeat Interval Acquisition

Kento Watanabe, Shintaro Izumi, Kana Sasai, Yuji Yano, Hiroshi Kawaguchi, and Masahiko Yoshimoto

IEEE Transactions on Biomedical Circuits and Systems 13(6):1552–1562. doi:10.1109/TBCAS.2019.2956948.

InstrumentationLow noiseComparator
How PulseSensor was usedA commercial PulseSensor served as a conventional PPG comparison sensor while the researchers evaluated a proposed low-noise acquisition design and heartbeat-interval method.
2018Wearable Hardware Design for the Internet of Medical Things (IoMT)

Fayez Qureshi, Sridhar Krishnan

Sensors 18(11):3812. doi:10.3390/s18113812.

Hardware designArduinoPrototyping
How PulseSensor was usedThis hardware-design review describes connecting a World Famous Electronics PulseSensor to an Arduino Uno, securing it to the index finger with the supplied strap, and using the PulseSensor library and GettingStarted example to acquire and visualize the waveform.
2018Coverage of Emotion Recognition for Common Wearable Biosensors

Hui TKL, Sherratt RS.

Biosensors 8(2):30. doi:10.3390/bios8020030.

Emotion researchSensing gloveMultiple biosignals
How PulseSensor was usedThe emotionWear sensing glove used PulseSensor PPG alongside skin-conductance and temperature measurements to study responses to audiovisual stimuli. Appendix A identifies PulseSensor as the open-hardware project by Joel Murphy and Yury Gitman.

Using PulseSensor for research

From reflected light to a raw PPG waveform

PulseSensor is a green-light reflectance photoplethysmograph. Its LED illuminates tissue; a photodetector measures changing reflected light as local blood volume changes; the electronics output a continuously varying analog voltage. PulseSensor Playground samples that waveform at 500 Hz, qualifies beats, measures inter-beat interval (IBI), and derives BPM.

1IlluminateGreen light enters tissue.
2DetectReflected light changes with blood volume.
3RecordThe analog voltage is the raw PPG.
4MeasureBeats produce IBI and BPM.
5ExploreMorphology, timing, PRV, and breathing-related variation.

Terminology matters: variability from PPG pulse intervals is most precisely called pulse-rate variability (PRV). It may resemble ECG-derived HRV, but the two are not automatically identical.

What different setups can investigate

1One reference

Waveform shape, beat timing, PRV, breathing-related variation, pressure, placement, and motion.

2Compare sites

Finger vs. ear, left vs. right, shape, amplitude, quality, and relative arrival delay.

3Add a control

Keep one stable PPG or add a synchronized motion or breathing reference.

4Build a body map

Study site, symmetry, timing, motion, and quality across documented locations.

Placement, body position, and contact

Body sites do not produce interchangeable waveforms. Record site, side, orientation, attachment method, pressure, posture, and arm position before interpreting a difference as physiological. Doyle paper 13.

Skin, tissue, and optical bias

Melanin, tissue thickness, perfusion, geometry, wavelength, pressure, light, and motion can interact. Preserve raw amplitude and quality, document relevant participant descriptors respectfully, and report failed recordings instead of silently discarding them. Doyle paper 4.

Movement and contact noise

Motion can resemble a pulse, shift the baseline, and disrupt every derived value. When possible, record experiment markers or acceleration on the same clock, then apply a quality rule before reporting results. Doyle paper 41.

Multiple colors and channels

A normal PulseSensor supplies one green optical channel. Multiple ordinary PulseSensors support spatial comparisons and redundancy; true multi-wavelength studies require additional red or infrared optical hardware. Label wavelength and geometry for every channel. Doyle paper 42.

Arrival-time boundary: two synchronized PulseSensors can measure relative delay between two peripheral PPG waveforms. Conventional pulse transit time normally begins with an ECG R-wave. Do not label PPG-to-PPG delay as ECG-to-PPG PTT or infer blood pressure without proper calibration and validation. See the two-sensor tutorial.

Open-source research roadmap

What the bibliography suggests building next

PulseSensor Playground already provides raw samples, beat detection, pulse amplitude, IBI, BPM, timing, multiple-sensor support, and physical feedback. Dr. Doyle’s bibliography points toward six practical additions.

Research-ready recorderExport raw samples, exact timestamps, site, sample rate, contact notes, and event markers.
Modern PRV exampleExplain IBI series, RMSSD, SDNN, spectra, and Poincaré plots with accurate PRV terminology.
Find-the-breath starterDisplay RIAV, RIIV, and RIFV as separate candidate respiratory waves.
Transparent spectrumUse filtering plus Welch/FFT peak detection, a confidence score, and a reference channel.
Signal-quality gateLabel windows usable, questionable, or reject before reporting BPM, PRV, or respiration.
Motion and multi-sensor examplesSynchronize PPG, optional acceleration, and reference channels for offline comparison.

Recommended first milestone: combine a raw-waveform recorder, signal-quality gate, and RIAV/RIIV/RIFV display. That extends the dependable heartbeat engine without hiding the science.

Minimum record for a reproducible experiment

Save every raw channel with exact timestamps, sensor and wavelength, body site and side, attachment and pressure, posture, instructions, motion markers, ambient-light notes, quality score, relevant participant descriptors, and the reference used for validation. That record lets another person reproduce—or challenge—the result.

Turn this into a research study →