ArticleJMIR mHealth and uHealth2018
Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network.British journal of sports medicine · 2021Guideline
- Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Noninvasive Multiparameter Monitoring for the Detection of Decompensated Heart Failure: Exploratory Study.JMIR formative research · 2025Article
- The Heart-Brain Axis in the Artificial Intelligence Era: Integrating Old and New Insights Towards New Targeting and Innovative Neuro- and Cardio-Therapeutics.International journal of molecular sciences · 2025Review
- Five Years Later-The Impact of the COVID-19 Pandemic on Physical Performance and Cardiometabolic Health Using a Smart Home Gym: An Ecological Case Study.International journal of environmental research and public health · 2025Article
- Article
- Study of Postacute Sequelae of COVID-19 Using Digital Wearables: Protocol for a Prospective Longitudinal Observational Study.JMIR research protocols · 2024Observational
- Night time heart rate predicts next-day pain in fibromyalgia and primary back pain.Pain reports · 2024Article
- A prospective natural history study of post acute sequalae of COVID-19 using digital wearables: Study protocol.Research square · 2023Article
- On the Reliability of Wearable Technology: A Tutorial on Measuring Heart Rate and Heart Rate Variability in the Wild.Sensors (Basel, Switzerland) · 2023Article
- ChroniSense National Early Warning Score Study: Comparison Study of a Wearable Wrist Device to Measure Vital Signs in Patients Who Are Hospitalized.Journal of medical Internet research · 2023Article
- Studying the Effect of Long COVID-19 Infection on Sleep Quality Using Wearable Health Devices: Observational Study.Journal of medical Internet research · 2022Observational
- Acute and Long-Term Consequences of COVID-19 on Arterial Stiffness-A Narrative Review.Life (Basel, Switzerland) · 2022Review
- Wearable Photoplethysmography for Cardiovascular Monitoring.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- Remote Monitoring of Chronic Critically Ill Patients after Hospital Discharge: A Systematic Review.Journal of clinical medicine · 2022Review
- A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability.PloS one · 2022Article
- HRS White Paper on Clinical Utilization of Digital Health Technology.Cardiovascular digital health journal · 2021Article
- Article
- Monitoring Non-dipping Heart Rate by Consumer-Grade Wrist-Worn Devices: An Avenue for Cardiovascular Risk Assessment in Hypertension.Frontiers in cardiovascular medicine · 2021Article
- Development of Cognitive and Physical Exercise Systems, Clinical Recordings, Large-Scale Data Analytics, and Virtual Coaching for Heart Failure Patients: Protocol for the BioTechCOACH-ForALL Project.JMIR research protocols · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWearable and connected health devices along with the recent advances in mobile and cloud computing provide a continuous, convenient-to-patient, and scalable way to collect personal health data remotely. The Wavelet Health platform and the Wavelet wristband have been developed to capture multiple physiological signals and to derive biometrics from these signals, including resting heart rate (HR), heart rate variability (HRV), and respiration rate (RR).
objectiveThis study aimed to evaluate the accuracy of the biometric estimates and signal quality of the wristband.
methodsMeasurements collected from 35 subjects using the Wavelet wristband were compared with simultaneously recorded electrocardiogram and spirometry measurements.
resultsThe HR, HRV SD of normal-to-normal intervals, HRV root mean square of successive differences, and RR estimates matched within 0.7 beats per minute (SD 0.9), 7 milliseconds (SD 10), 11 milliseconds (SD 12), and 1 breaths per minute (SD 1) mean absolute deviation of the reference measurements, respectively. The quality of the raw plethysmography signal collected by the wristband, as determined by the harmonic-to-noise ratio, was comparable with that obtained from measurements from a finger-clip plethysmography device.
conclusionsThe accuracy of the biometric estimates and high signal quality indicate that the wristband photoplethysmography device is suitable for performing pulse wave analysis and measuring vital signs.
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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.