Zenodo record https://zenodo.org/records/202597 (DOI 10.5281/zenodo.202597), "Non invasive and minimally intrusive blood pressure estimates". Released to support BP estimation from pulse waveforms. There is no linked paper, and the protocol text is not included.
- Type
- Dataset
- Licence
- Not reported
- Access
- Not reported
- Subjects
- 2
- Devices
- PPG sites
- Not reported
- Setting
- Lab
- Wrist
- No
- Raw waveforms
- Yes
- Tasks
- Cuffless BP
- Updated
- Oct 21, 2026
Original description
Currently, health disorders related to Blood Pressure (BP) fluctuations are within the most prevalent and of higher social and economic impact in the world. A continuous and routinary monitoring of the BP can contribute to the early identification of risk factors, and consequently, would help to prevent potential cardiovascular diseases.
BP measurement methods based on the cuff are of widespread use today. The monitoring based on this technology is intrusive and cannot be made continuously, which is of fundamental importance to diagnose Hypertension accurately. Due to the discomfort, inconvenience and intrusiveness of the cuff-based measurements of BP most people undergo monitoring only when they present symptoms of cardiovascular problems and a high proportion of them do not complete the monitoring protocol.
In order to provide a less intrusive technology for non-invasive and continuous BP monitoring, many researchers aimed to estimate the BP from Pulse Waveforms (PW), recorded using plethysmography, ultrasound, and tonometry. Some BP estimation methods based on these technologies have been successfully implemented in commercial products.
However, the BP estimation from PW is still an open research problem. The hemodynamic behavior of people is complex and highly variable within and between subjects. This makes the estimation of BP from PW very challenging from the mathematical and computational modeling perspectives.
For this reason we provide a dataset from two healthy subjects. The experimental paradigm is explained in advance. Data were acquired by using the Finapres® NOVA which is a non-invasive continuous blood pressure monitor.
The data contains the following columns:
- Timeline of the acquisition.
- The PPG (Photoplethysmography) signal measured in the right hand.
- The PPG (Photoplethysmography) signal measured in the foot.
- The arterial pressure estimated by Finapres® NOVA.
- The ECG signal.
- The occurrence of the handgrip maneuver on the specific time instant.
Verbatim fromZenodo· Licence: cc-by-4.0
Key numbers
How it works
No model in the hub reports results on this dataset yet.
- Sampling
- not stated on the record
- Reference labels
- bp
- Device roles
- Clinical reference (BP) · Clinical reference (ECG)
Devices· 1
Full photo credits, sources and licences are on each device page.
Models trained or evaluated on it
FAQ
How many subjects are in Valparaíso Finapres NOVA set?
Valparaíso Finapres NOVA set has data from 2 subjects, as listed in its research record.
What signals does Valparaíso Finapres NOVA set include?
Valparaíso Finapres NOVA set includes PPG, ECG and continuous blood pressure data. Raw waveforms are included.
What can Valparaíso Finapres NOVA set be used for?
Research tasks it supports: cuffless blood pressure estimation. Reference labels: blood pressure.
How do I get Valparaíso Finapres NOVA set, and what is its licence?
It is hosted on Zenodo at https://zenodo.org/records/202597. No licence is recorded for it here, so check the terms on the source page before you use it.
Cite
APA
Valparaíso Finapres NOVA set [Data set]. (n.d.). zenodo. https://doi.org/10.5281/zenodo.202597
BibTeX
@misc{valparaisofinaprvalparaiso,
title = {{Valparaíso Finapres NOVA set}},
howpublished = {zenodo},
doi = {10.5281/zenodo.202597}
}Built from the hub record. Check it against the publisher before submitting.
Cite the ChatPPG record
Cite the dated snapshot 2026-10 for a fixed, reproducible version. Please also cite the original publications listed above.
APA
ChatPPG. (2026). Valparaíso Finapres NOVA set: dataset record (Version 2026-10) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/datasets/valparaiso-finapres-ppg-bp-2016
BibTeX
@misc{chatppg_dataset_valparaiso_finapres_ppg_bp_2016,
author = {{ChatPPG}},
title = {{Valparaíso Finapres NOVA set: dataset record}},
year = {2026},
month = oct,
version = {2026-10},
howpublished = {\url{https://chatppg.com/research/datasets/valparaiso-finapres-ppg-bp-2016}},
note = {ChatPPG Research Hub, Snapshot 2026-10, https://chatppg.com/research/snapshots/2026-10}
}CITATION.cff
cff-version: 1.2.0 message: "If you use this resource, please cite it as below." type: dataset title: "Valparaíso Finapres NOVA set: dataset record" authors: - name: "ChatPPG" url: "https://chatppg.com/research/datasets/valparaiso-finapres-ppg-bp-2016" repository-artifact: "https://chatppg.com/research/snapshots/2026-10" version: "2026-10" date-released: "2026-10-21"
History
Record updated
Papers
Dynamic beat-to-beat blood pressure estimation using a multi-modal wearable deep learning approachSame task: Blood pressurePhysiological Measurement 47 · 2026
A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure PredictionSame task: Blood pressurearXiv preprint · 2026
A Dual-Output Physiology-Informed Neural Network Architecture for Continuous Cuffless Blood Pressure Waveform Estimation: A Proof-of-ConceptSame task: Blood pressureArtery Research · 2026
Datasets
Barocontrol in healthy subjects (Mol/van Wezel, Radboud)Same task: Blood pressurewrist+finger PPG, ECG, NIRS + Finapres (n=34); subset of Radboud PTT34 subjects · PPG · ECG · BP
Radboud PTT PPG+BP (Mol 2020)Same task: Blood pressurewrist+finger PPG with Finapres BP86 subjects · PPG · ECG · SpO₂
BlumioSame task: Blood pressure115 adults, finger PPG + radial tonometry + wrist mmWave radar vs CNAP continuous BP (IEEE DataPort OA)115 subjects · PPG · BP