Evidence map›Paper›PMID 40984980›Full record

ArticleEuropean heart journal. Digital health2025

Optimization and pre-use suitability selection for wrist photoplethysmography-based heart rate monitoring in patients with cardiac disease.

Paulien Vermunicht, Christophe Buyck, Sebastiaan Naessens, Wendy Hens, Caro Verberckt, Emeline Van Craenenbroeck, Kris Laukens, Lien Desteghe, Hein Heidbuchel

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Paulien VermunichtResearch Group Cardiovascular Diseases, University of Antwerp, Prinsstraat 13, Antwerp 2000, Belgium.ORCID https://orcid.org/0000-0001-5922-2095
Christophe BuyckResearch Group Cardiovascular Diseases, University of Antwerp, Prinsstraat 13, Antwerp 2000, Belgium.ORCID https://orcid.org/0009-0005-4214-9932
Sebastiaan NaessensDepartment of Cardiology, Antwerp University Hospital, Drie Eikenstraat 655 Antwerp 2650, Belgium.ORCID https://orcid.org/0009-0006-9395-2271
Wendy HensDepartment of Cardiology, Antwerp University Hospital, Drie Eikenstraat 655 Antwerp 2650, Belgium.ORCID https://orcid.org/0000-0002-9881-6248
Caro VerbercktDepartment of Cardiology, Antwerp University Hospital, Drie Eikenstraat 655 Antwerp 2650, Belgium.
Emeline Van CraenenbroeckResearch Group Cardiovascular Diseases, University of Antwerp, Prinsstraat 13, Antwerp 2000, Belgium.ORCID https://orcid.org/0000-0001-7686-2668
Kris LaukensDepartment of Computer Science, University of Antwerp, Antwerp, Belgium.ORCID https://orcid.org/0000-0002-8217-2564
Lien DestegheResearch Group Cardiovascular Diseases, University of Antwerp, Prinsstraat 13, Antwerp 2000, Belgium.ORCID https://orcid.org/0000-0001-8641-4658
Hein HeidbuchelResearch Group Cardiovascular Diseases, University of Antwerp, Prinsstraat 13, Antwerp 2000, Belgium.ORCID https://orcid.org/0000-0001-9301-8127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sensor placement, activity type influencing wrist movements, and individual characteristics impact accuracy of wrist-worn photoplethysmography (PPG)-based heart rate (HR) monitors. This study investigated technical interventions to optimize PPG accuracy in patients with cardiac disease. Methods and results: The Fitbit Inspire 2 PPG monitor was evaluated across three cohorts, using a Polar H10 chest strap as reference: (ⅰ) 10 healthy volunteers performed wrist movements with the monitor placed one or three fingers above the wrist to identify optimal placement; (ⅱ) 10 volunteers engaged in sport activities (walking, running, cycling, rowing); (ⅲ) 30 cardiac rehabilitation patients were monitored during exercise to assess baseline accuracy. Patients with low accuracy [mean absolute percentage error (MAPE) < 10% for <70% of training time] underwent technical interventions (sensor cleaning, forearm shaving, position fixation, and/or relocation to the volar wrist). Placement three vs. one fingers above the wrist was significantly more accurate (mean difference in MAPE: -11.4%, Conclusion: Accurate PPG-based monitoring requires a sensor placed higher on the wrist. Nevertheless, only two-thirds of patients are suitable for such monitoring, with improvement by technical adaptations possible (but impractical) in the others. Therefore, assessing baseline accuracy is a prerequisite before relying on these devices for activity guidance.

Indexed as

Cardiac RehabilitationExerciseFitness TrackersHeart RateWearable Electronic Devices

Identifiers

PMID40984980
PMCPMC12450509

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.