Evidence map›Paper›PMID 41027033›Full record

ArticleJMIR cardio2025

Analysis of a Medically Certified, Wrist-Worn Sensor for the Assessment of Heart Rate and Energy Expenditure During Daily Activities in Patients With Chronic Heart Failure or Coronary Artery Disease and Recreational Athletes: Validation Study.

Ignace L J De Lathauwer, Valerie A A van Es, Mayke M C J van Leunen, Steven Onkelinx, Rutger W M Brouwers, Danny A J P van de Sande, Mathias Funk, Hareld M C Kemps

Abstract readComparative StudyValidation StudyValidation Study
In one paragraph

Article in JMIR cardio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Ignace L J De LathauwerDepartment of Cardiology, Máxima Medisch Centrum, De Run 4600, Veldhoven, 5504DB, The Netherlands, +31 40 888 8000.ORCID http://orcid.org/0009-0008-6639-9428
Valerie A A van EsMoMiLab research unit, IMT School for Advanced Studies Lucca, Lucca, Italy.ORCID http://orcid.org/0000-0002-4946-6288
Mayke M C J van LeunenDepartment of Cardiology, Máxima Medisch Centrum, De Run 4600, Veldhoven, 5504DB, The Netherlands, +31 40 888 8000.ORCID http://orcid.org/0000-0002-5048-3747
Steven OnkelinxDepartment of Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands.ORCID http://orcid.org/0009-0009-9009-3549
Rutger W M BrouwersDepartment of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID http://orcid.org/0000-0002-8409-2357
Danny A J P van de SandeDepartment of Cardiology, Máxima Medisch Centrum, De Run 4600, Veldhoven, 5504DB, The Netherlands, +31 40 888 8000.ORCID http://orcid.org/0000-0002-8553-5025
Mathias FunkDepartment of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID http://orcid.org/0000-0001-5877-2802
Hareld M C KempsDepartment of Cardiology, Máxima Medisch Centrum, De Run 4600, Veldhoven, 5504DB, The Netherlands, +31 40 888 8000.ORCID http://orcid.org/0000-0003-0272-4355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exercise capacity and lifestyle have proven to be important prognostic factors for cardiovascular patients. Both can be ameliorated through different preventive interventions. Cardiac rehabilitation and remote patient monitoring have been proven to reduce cardiac events and cardiovascular mortality. One of the most important goals of cardiac rehabilitation and remote patient monitoring is improving physical fitness and monitoring of cardiovascular parameters, which could predict cardiac deterioration. In order to monitor cardiac patients successfully, reliable and nonobtrusive devices to assess physical activity and cardiovascular parameters need to be available. Objective: This validation study aims to determine the accuracy of the Philips Health Band (PHB), a noninvasive, wrist-worn, medically certified device, for the assessment of heart rate (HR) and energy expenditure (EE) in patients with chronic cardiovascular diseases and recreational athletes (RAs). Methods: The assessment of HR and EE by the PHB was compared with indirect calorimetry (Oxycon Mobile [OM; CareFusion GmbH]) during an activity protocol consisting of daily activities. Three groups were assessed: patients with heart failure with reduced ejection fraction (HFrEF), patients with stable coronary artery disease (CAD) with preserved left ventricular ejection fraction, and RAs. Results: A total of 57 patients were included: 19 with CAD, 19 with HFrEF, and 19 RAs. HR assessment in the HFrEF and CAD groups was significantly underestimated over the entire protocol by the PHB as compared to the OM, with poor and fair reliability, respectively. No significant difference in HR was found between the PHB and OM over the entire protocol for the RA group, with good reliability (HFrEF: mean difference 3.0; P<.001; intraclass correlation coefficient [ICC] 0.36; CAD: mean difference 2.7; P<.001; ICC 0.55; RA: mean difference 0.8; ICC 0.60). Assessment of EE showed an underestimation over the entire protocol for the RA and CAD group, with poor and fair reliability, respectively. The HFrEF group showed no significant difference in EE assessment over the entire protocol, with poor reliability (HFrEF: mean difference 0.09; ICC 0.32; CAD: mean difference 0.29; P<.001; ICC 0.46; RA: mean difference 0.79; P<.001; ICC 0.26). The responsiveness to detect within-patient changes in activity intensity of the PHB was moderate for the HFrEF and CAD groups and acceptable for the RA group. Conclusions: HR and EE assessment of a medically certified noninvasive sensor using a photoplethysmogram and accelerometer showed poor accuracy and moderate responsiveness during an activity protocol reflecting daily living activities in patients with stable CAD and chronic HFrEF. Accuracy of HR in RAs was good and the responsiveness for both HR and EE was acceptable. This research confirms previous research and stresses the need for better patient-specific algorithms in noninvasive sensors, taking cardiovascular pathology and medication usage into account, for assessing HR and EE prior to their implemention in patient care.

Indexed as

Coronary Artery DiseaseHeart FailureHeart Rate DeterminationRemote Patient MonitoringWearable Electronic DevicesAccelerometryActivities of Daily LivingAgedAged, 80 and overAthletesCalorimetry, IndirectCardiac RehabilitationChronic DiseaseEnergy MetabolismFemaleHeart Ratecardiac diseasesmonitoring cardiac patientsnoninvasive devicesmartwatchvalidation studies

Identifiers

PMID41027033
PMCPMC12483477

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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.