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Not yet recruitingNCT07790978Huawei-SunU2Updated Oct 28, 2026

Real-World Validation for Less-Disturbing Ambulatory Blood Pressure Monitoring (ABPM) in Malaysia Using Huawei Wearables

An observational study in Hypertension, sponsored by Sunway University. Not yet recruiting at 1 site in Malaysia. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-28.

Sponsored by Sunway University · Observational

Study type
Observational
Model
Ecologic or community
Time perspective
Cross-sectional
Enrollment
500
Ages
18 Years and older
Sex
All
01

Study summary

Background:

Ambulatory Blood Pressure Monitoring (ABPM) is the gold standard for diagnosing high blood pressure (hypertension) because it tracks blood pressure continuously across day and night. However, standard ABPM requires a cuff that inflates every 15 to 30 minutes during the day and every 30 to 60 minutes at night. These frequent inflations often cause discomfort, interrupt sleep, and cause patients to abandon testing.

Purpose:

This study aims to evaluate whether a new cuff-based Huawei smartwatch can provide a less-disturbing ABPM experience. Researchers will test whether a reduced-frequency measurement schedule (e.g., 7 readings: 4 awake, 3 asleep) can provide the same diagnostic accuracy as a conventional, full 24-hour ABPM protocol (typically 48 readings) while improving patient comfort.

Study Design \& Procedures:

Study Population:

Approximately 500 adult participants will be recruited over a 24-month study period, with a targeted subgroup of 50 participants selected for clinical validation. The subgroup will represent normotensive, pre-hypertensive, and hypertensive individuals across diverse age groups and ethnicities.

Monitoring \& Comparison: Participants in the validation group will undergo standard 24-hour ABPM at an accredited clinical facility alongside monitoring with the Huawei smartwatch. Data from the smartwatch will be used to compare a reduced-frequency reading schedule against full 24-hour ABPM recordings.

User Feedback: Participants will complete questionnaires assessing comfort, sleep quality, ease of use, and overall preference between the smartwatch and standard ABPM cuffs.

Goal:

The main goal is to determine if a reduced-frequency wearable monitoring protocol can maintain clinical diagnostic accuracy for blood pressure and sleep-dipping patterns while significantly reducing patient burden and sleep disruption.

02

Conditions studied

  • Hypertension

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Keywords

  • Hypertension
  • High Blood Pressure
  • Ambulatory Blood Pressure Monitoring (ABPM)
  • Less-Disturbing ABPM
  • Reduced-Frequency Monitoring
  • Wearable Blood Pressure Devices
  • Smartwatch Blood Pressure
  • Nocturnal Blood Pressure Dipping
  • Sleep Disruption and Patient Comfort
  • Cardiovascular Risk Assessment
03

In context

Hypertension

6,114 studies on the registry are indexed under Hypertension; 912 are open to participants now.

This study's planned enrollment of 500 is above the median of 350 across 1,163 observational studies indexed under Hypertension.

Browse Hypertension studies →

Lead sponsor

Sunway University is the lead sponsor of 11 studies on the registry; 7 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study population comprises adult community-dwelling individuals residing in Malaysia recruited via the Huawei Research Platform. From this general screening pool (target N = 500), a targeted clinical validation subgroup (n = 50) will be prospectively selected to undergo dual ABPM and smartwatch evaluation.

To ensure clinical applicability and statistical validity in alignment with ISO 81060-2 and AAMI validation standards, the validation subgroup will be stratified into three distinct cohorts:

  • Normotensive Cohort (n = 10): Participants with blood pressure \< 135/85 mmHg.
  • Undiagnosed Elevated Blood Pressure Cohort (n = 20): Participants with untreated blood pressure > 135/85 mmHg.
  • Documented Hypertensive Cohort (n = 20): Participants with documented or self-reported history of history of hypertension.

Selection across all cohorts will maintain balanced demographic representation across age groups, biological sex, and major Malaysian ethnic populations (Malay, Chinese, Indian)

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Possesses the specific Huawei wearable required for the study
  • Aged ≥18 years
  • Malaysian citizen/permanent resident
  • Understands English, Malay, or Chinese
  • Able to download the required application on a compatible smartphone
  • Willing to wear devices continuously
  • Able to provide

Exclusion criteria

Exclusion Criteria:

  • Current pregnancy
  • Presence of implantable cardiac devices (e.g., permanent pacemakers, implantable cardioverter-defibrillators [ICDs])
  • Uncontrolled cardiac arrhythmias (e.g., active atrial fibrillation, frequent premature ventricular contractions [PVCs])
  • Movement disorders or active tremors that interfere with blood pressure measurement or signal acquisition (e.g., severe Parkinson's disease, essential tremor)
  • Acute medical conditions (e.g., acute coronary syndromes, stroke/ within 3 months, acute decompensated heart failure, severe active infections, or hypertensive emergencies)
  • Resting blood pressure >=180/110 mmHg
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

TIA (transient ischaemic attack)

A “mini-stroke”: temporary stroke-like symptoms caused by reduced blood flow to part of the brain, spinal cord or eye, without signs of a new stroke on a scan.

Stroke symptoms need emergency care at once, even if they go away.

05

Study design

Observational model
Ecologic or community
Time perspective
Cross-sectional
Enrollment
500 participants (estimated)
Target follow-up
2 Years
Patient registry
Yes

Groups and cohorts

  • Normotensive Cohort

    Adult participants with normal blood pressure (defined as blood pressure \< 135/85 mmHg; n = 10) who undergo simultaneous standard 24-hour ABPM and Huawei smartwatch monitoring.

  • Undiagnosed Elevated Blood Pressure Cohort

    Adult participants with undiagnosed elevated blood pressure (defined as blood pressure \> 135/85 mmHg; n = 20) who undergo simultaneous standard 24-hour ABPM and Huawei smartwatch monitoring.

  • Documented Hypertensive Cohort

    Adult participants with documented or self-reported hypertension (n = 20) who undergo simultaneous standard 24-hour ABPM and Huawei smartwatch monitoring.

  • Screening Population

    General adult participants recruited across Malaysia who enroll via the Huawei Research Platform app to provide continuous wearable ambulatory blood pressure and physiological data and complete baseline health assessments over the study period.

06

What researchers measure

Primary outcomes

  1. Mean Difference in Blood Pressure Measured by Reduced-Frequency Smartwatch Schedule Versus Standard 24-Hour Ambulatory Blood Pressure Monitor (ABPM)

    Measure Description: Mean blood pressure difference (bias) for 24-hour, daytime, and night-time periods calculated by subtracting reference 24-hour ABPM values (SpaceLabs/Mobil-O-Graph cuff monitor) from reduced-frequency Huawei smartwatch ABPM values (7-measurement schedule). Unit of Measure: mmHg

    Time frame: Month 13 through Month 18 (during clinical ABPM validation testing).

  2. Mean Absolute Error (MAE) of Blood Pressure Readings Between Reduced-Frequency Smartwatch Schedule and Standard 24-Hour ABPM

    Measure Description: The average absolute difference between blood pressure readings obtained from the reduced-frequency Huawei smartwatch schedule and the standard 24-hour cuff-based ABPM monitor. Unit of Measure: mmHg

    Time frame: Month 13 through Month 18.

  3. Root Mean Square Error (RMSE) of Blood Pressure Readings Between Reduced-Frequency Smartwatch Schedule and Standard 24-Hour ABPM

    Measure Description: The root mean square error evaluating agreement between blood pressure values recorded by the reduced-frequency Huawei smartwatch schedule and the standard 24-hour cuff-based ABPM monitor. Unit of Measure: mmHg

    Time frame: Month 13 through Month 18

  4. Intraclass Correlation Coefficient (ICC) of Blood Pressure Measurements Between Reduced-Frequency Smartwatch Schedule and Standard 24-Hour ABPM

    Measure Description: Agreement reliability calculated using absolute-agreement two-way random-effects ICC comparing reduced-frequency Huawei smartwatch blood pressure estimates against full 24-hour ABPM readings. Unit of Measure: Intraclass Correlation Coefficient (score ranging from -1.0 to +1.0)

    Time frame: Month 13 through Month 18

Secondary outcomes

  1. Limits of Agreement (Bland-Altman) for Blood Pressure Readings Between Huawei Smartwatch and Conventional Cuff ABPM

    Measure Description: Upper and lower 95% limits of agreement (mean difference +/- 1.96 x standard deviation) calculated via Bland-Altman analysis comparing simultaneous Huawei smartwatch and conventional cuff-based ABPM measurements. Unit of Measure: mmHg

    Time frame: Month 13 through Month 18

  2. Participant Comfort Score Evaluated via Post-Monitoring User Experience Survey

    Measure Description: Mean total score for participant-reported physical comfort derived from a standardized 5-point Likert scale questionnaire administered immediately after 24-hour monitoring. Unit of Measure: Score on a scale of 1 to 5 (where 1 = Extreme Discomfort and 5 = Complete Comfort)

    Time frame: Immediately following completion of 24-hour monitoring (Month 13 through Month 18)

  3. Number of Participants Indicating Preference for Smartwatch Monitoring Over Conventional Cuff ABPM

    Measure Description: Count of participants who express a preference for smartwatch-based monitoring over traditional arm-cuff ABPM on the post-monitoring user experience survey. Unit of Measure: Participant count

    Time frame: Immediately following completion of 24-hour monitoring (Month 13 through Month 18)

Other outcomes

  1. Cohen's Kappa Coefficient for Nocturnal Dipping Pattern Classification Concordance

    Measure Description: Inter-rater agreement (Cohen's Kappa) for categorizing participants into nocturnal dipping status categories (dipper vs. non-dipper) comparing reduced-frequency smartwatch schedules against standard full-day ABPM. Unit of Measure: Kappa Statistic (score ranging from -1.0 to +1.0)

    Time frame: Month 16 through Month 20.

  2. Minimum Number of Measurements Required to Maintain Diagnostic Accuracy

    Measure Description: The minimum threshold count of active blood pressure inflations required per 24-hour period to maintain an ICC \>= 0.80 relative to standard 24-hour ABPM. Unit of Measure: Number of blood pressure inflations

    Time frame: Month 16 through Month 20.

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Study locations

1 site
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References and documents

Publications

  • Stergiou GS, Menti A, Mariglis D, Kollias A. The quest for accurate wearable blood pressure monitors. Hypertens Res. 2026 Mar;49(3):1025-1029. doi: 10.1038/s41440-025-02410-w. Epub 2025 Nov 5. PubMed 41193706 ↗
  • McEvoy JW, McCarthy CP, Bruno RM, Brouwers S, Canavan MD, Ceconi C, Christodorescu RM, Daskalopoulou SS, Ferro CJ, Gerdts E, Hanssen H, Harris J, Lauder L, McManus RJ, Molloy GJ, Rahimi K, Regitz-Zagrosek V, Rossi GP, Sandset EC, Scheenaerts B, Staessen JA, Uchmanowicz I, Volterrani M, Touyz RM; ESC Scientific Document Group. 2024 ESC Guidelines for the management of elevated blood pressure and hypertension. Eur Heart J. 2024 Oct 7;45(38):3912-4018. doi: 10.1093/eurheartj/ehae178. No abstract available. PubMed 39210715 ↗
  • Kawaja A, Moosa AS, Lee EKP, Phoon IKY, Ang ATW, Chang ZY, Lim ACA, Yap J, Huang W, Ng DX, Sng MY, Loh HY, Ng CJ. Comparison of patients' acceptance of cuff-based vs wearable 24-hour ambulatory blood pressure monitoring devices: A multi-method study. PLoS One. 2025 Nov 17;20(11):e0336961. doi: 10.1371/journal.pone.0336961. eCollection 2025. PubMed 41248137 ↗
  • Islam SMS, Chow CK, Daryabeygikhotbehsara R, Subedi N, Rawstorn J, Tegegne T, Karmakar C, Siddiqui MU, Lambert G, Maddison R. Wearable cuffless blood pressure monitoring devices: a systematic review and meta-analysis. Eur Heart J Digit Health. 2022 May 2;3(2):323-337. doi: 10.1093/ehjdh/ztac021. eCollection 2022 Jun. PubMed 36713001 ↗
  • Chia J, Bhatia KS, Mihailidou AS, Kanagaratnam LB. The Role of Ambulatory Blood Pressure Monitoring in Current Clinical Practice. Heart Lung Circ. 2022 Oct;31(10):1333-1340. doi: 10.1016/j.hlc.2022.06.670. Epub 2022 Aug 4. PubMed 35934633 ↗

Individual participant data

Plan to share: Yes — De-identified individual participant data (IPD)-including demographic data, continuous wearable sensor measurements, physiological parameters, and matched conventional ABPM recordings-will be made available to qualified scientific researchers. Data will be shared upon reasonable request to support secondary research, verification of algorithm validation performance, and meta-analyses, provided the proposed use aligns with participant informed consent approvals and local data protection regulations.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: Data will be made available beginning 6 months after publication of the primary study results and will remain accessible for up to 5 years.

Access criteria: Eligible Requesters: Qualified academic, clinical, or industry researchers affiliated with a recognized research institution. Method of Request: Requesters must submit a formal research proposal and sign a Data Use Agreement (DUA). Data Governance \& Compliance: All shared data will be fully anonymized in compliance with the Personal Data Protection Act (PDPA) Malaysia and relevant institutional IRB guidelines.

09

Updates

1 registry update since Sep 25, 2026
Minor edits
Nothing that changes what the study is or who can join. Edited: verification date
1 update, last Oct 28, 2026
Show all 1 update
  1. Oct 28, 2026
    Minor edits only
    + 1 other change: verification date

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07790978
Lead sponsor
Sunway University
Collaborators
Huawei Device Co., Ltd
Responsible party
YookChin Chia (Professor Emeritus, Sunway University) — Principal investigator
First posted
Aug 27, 2026
Start date
Dec 1, 2026 (estimated)
Primary completion
Nov 30, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Oct 28, 2026

Study contacts

Yook Chin Chia
Contact
ycchia@sunway.edu.my
+60374918622
Yee How Say
Contact
yeehows@sunway.edu.my
+60374918622
Yook Chin Chia
principal investigator · Sunway University
Yee How Say
principal investigator · Sunway University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.

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