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.

7verified works
2019–2024publication 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 one related experiment.

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.
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.
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.
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.
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.
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.
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.

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 student experiment →