Real-World Validation of A Minimally Disruptive Ambulatory Blood Pressure Monitoring (ABPM) Huawei Smartwatch in Malaysia (Huawei-SunU02)

October 28, 2026 updated by: YookChin Chia, Sunway University

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.

Study Overview

Status

Enrolling by invitation

Conditions

Study Type

Observational

Enrollment (Estimated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Selangor
      • Subang Jaya, Selangor, Malaysia, 47500
        • Faculty of Medical and Life Sciences, Sunway University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

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)

Description

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 informed consent

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/TIA within 3 months, acute decompensated heart failure, severe active infections, or hypertensive emergencies)
  • Resting blood pressure >=180/110 mmHg

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: ECOLOGIC_OR_COMMUNITY
  • Time Perspectives: CROSS_SECTIONAL

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mean Difference in Blood Pressure Measured by Reduced-Frequency Smartwatch Schedule Versus Standard 24-Hour Ambulatory Blood Pressure Monitor (ABPM)
Time Frame: Month 13 through Month 18 (during clinical ABPM validation testing).

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

Month 13 through Month 18 (during clinical ABPM validation testing).
Mean Absolute Error (MAE) of Blood Pressure Readings Between Reduced-Frequency Smartwatch Schedule and Standard 24-Hour ABPM
Time Frame: Month 13 through Month 18.

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

Month 13 through Month 18.
Root Mean Square Error (RMSE) of Blood Pressure Readings Between Reduced-Frequency Smartwatch Schedule and Standard 24-Hour ABPM
Time Frame: Month 13 through Month 18

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

Month 13 through Month 18
Intraclass Correlation Coefficient (ICC) of Blood Pressure Measurements Between Reduced-Frequency Smartwatch Schedule and Standard 24-Hour ABPM
Time Frame: Month 13 through Month 18

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)

Month 13 through Month 18

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Limits of Agreement (Bland-Altman) for Blood Pressure Readings Between Huawei Smartwatch and Conventional Cuff ABPM
Time Frame: Month 13 through Month 18

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

Month 13 through Month 18
Participant Comfort Score Evaluated via Post-Monitoring User Experience Survey
Time Frame: Immediately following completion of 24-hour monitoring (Month 13 through Month 18)

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)

Immediately following completion of 24-hour monitoring (Month 13 through Month 18)
Number of Participants Indicating Preference for Smartwatch Monitoring Over Conventional Cuff ABPM
Time Frame: Immediately following completion of 24-hour monitoring (Month 13 through Month 18)

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

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

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cohen's Kappa Coefficient for Nocturnal Dipping Pattern Classification Concordance
Time Frame: Month 16 through Month 20.

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)

Month 16 through Month 20.
Minimum Number of Measurements Required to Maintain Diagnostic Accurac
Time Frame: Month 16 through Month 20.

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

Month 16 through Month 20.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Investigators

  • Principal Investigator: Yook Chin Chia, Sunway University
  • Principal Investigator: Yee How Say, BSc PhD, Sunway University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

December 15, 2026

Primary Completion (Estimated)

November 30, 2028

Study Completion (Estimated)

December 31, 2028

Study Registration Dates

First Submitted

October 28, 2026

First Submitted That Met QC Criteria

October 28, 2026

First Posted (Actual)

November 3, 2026

Study Record Updates

Last Update Posted (Actual)

November 3, 2026

Last Update Submitted That Met QC Criteria

October 28, 2026

Last Verified

October 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Huawei-SunU-MinDisABPMStudy

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

De-identified individual participant data (IPD) collected during this study will be shared with qualified external researchers. Specific shared data elements include:

  • Demographics & Baseline Characteristics: De-identified participant age, sex, body mass index, and baseline clinical blood pressure measurements.
  • Wearable Sensor Data: Continuous physiological streams captured via the Huawei Research Platform, including raw photoplethysmography (PPG) signals, heart rate, heart rate variability, physical activity metrics, and sleep tracking parameters.
  • Reference ABPM Data: Matched 24-hour, daytime, and night-time blood pressure and heart rate values, along with derived nocturnal dipping indices, obtained from clinical cuff-based ABPM and reduced-frequency Huawei smartwatch schedules.
  • User Experience Data: De-identified survey scores on device comfort, ease of use, sleep disturbance, and monitoring preference.

IPD Sharing Time Frame

Access Start Date: 6 months after the publication of the primary study results in a peer-reviewed journal.

Access End Date: 5 years after initial publication.

IPD Sharing Access Criteria

Method of Access: Data will be made available via a secure, managed data repository (or directly from the Principal Investigator upon formal request).

Qualified Requesters: Scientific researchers affiliated with recognized academic, clinical, or research institutions.

Request Requirements: Requesters must submit a methodologically sound research proposal and a clear scientific rationale for secondary analysis.

Data Use Agreement (DUA): Execution of a formal Data Use Agreement (DUA) is required to ensure data protection, mandate non-re-identification, and enforce secure handling.

Compliance: All shared files will be fully de-identified in compliance with the Personal Data Protection Act (PDPA) Malaysia and institutional Ethics Committee guidelines.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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