Clinical Research Directory

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

Sponsor: Sunway University

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.

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