Traditional blood-pressure checks are usually taken while a person is seated and still. That makes them useful for resting measurements, but it can leave important parts of a person’s blood-pressure pattern unobserved.
Blood pressure may not be measured during deep sleep or immediately after waking. Overnight changes and a pronounced rise after waking can therefore be missed by occasional daytime checks. The NUS project is aimed at capturing these changes in the context in which they occur, rather than relying only on isolated resting readings.
Exercise can produce rapid changes in systolic blood pressure. Monitoring during activity could help researchers and clinicians study unusually high or low responses that a resting cuff reading would not show. The research team reported testing the system during commuting, sleep and exercise, including strenuous exercise.
Arm-cuff monitors remain the familiar reference for blood-pressure measurement, but inflation can disturb sleep and the wearer generally has to remain still. Wrist-based wearables are easier to wear continuously, yet they require charging and cuffless blood-pressure estimates still need careful validation against accepted reference methods.
The NUS prototype targets both problems: it is designed to remain on the skin during ordinary movement and does not put a battery on each sensor. That convenience, however, should not be confused with clinical readiness.
The system does not measure pressure by inflating a cuff around the arm. Instead, it combines two related timing and physiological signals:
This approach is why the device is better described as a cuffless blood-pressure estimator. Its output depends on sensor signals, timing and calibration, so performance must be assessed against established reference measurements across different people and conditions.
The prototype makes an ordinary long-sleeved shirt part of the wearable network. A copper–nickel conductive-fabric track connects the sensor locations, while the wearer carries a smartphone on the upper arm.
The architecture uses two wireless channels for different jobs:
The textile is designed to separate the near-field power channel from the Bluetooth data channel. In effect, the smartphone acts as the hub: it powers the distributed sensors and receives their data without requiring batteries on the skin.
The idea builds on earlier work using near-field-enabled clothing to connect battery-free sensors at different points around the body.
Development began in the NUS Wireless Bioelectronics Group in 2021, with collaborators from the University of Arizona and Tsinghua University, according to reporting on the project. The work was reported in Nature Electronics as a battery-free wireless epidermal sensor network for continuous systolic blood-pressure monitoring.
The project also had a personal motivation. Researcher Selman Kurt’s father experienced “white-coat” hypertension—higher readings associated with the clinical setting—and found 24-hour cuff monitoring uncomfortable because the cuff inflated during sleep. That experience helped highlight the need for a less disruptive way to observe blood pressure over a full day and night.
The prototype’s next steps are practical as well as clinical.
The intended system would include an app that displays blood-pressure readings on the smartphone in real time. Turning sensor signals into a clear, dependable user experience will be necessary if the technology is to move beyond laboratory demonstrations.
The fabric currently withstands roughly 10 wash cycles before its ability to carry power and data begins to degrade. Clothing-based sensing will need to tolerate repeated washing and everyday wear more reliably before it becomes practical for routine use.
A five-person trial can demonstrate that the architecture works, but it cannot establish performance across the wider population or prove that the device is suitable for diagnosis. Further studies will need to compare the estimates with accepted blood-pressure reference methods across more users, activities and health conditions. Regulatory validation would also be required before commercial clinical use.
The NUS system’s main advance is architectural: it combines skin-adherent sensing with battery-free power delivery through clothing and smartphone-based data collection. That could make it easier to observe blood-pressure patterns during sleep, waking, exercise and ordinary activity—times when intermittent cuff readings may provide only limited context.
For now, it should be viewed as a promising research prototype rather than a replacement for a validated arm cuff. Its future depends on proving accuracy at scale, improving fabric durability and delivering reliable real-time readings in a practical wearable system.
Traditional blood-pressure checks are usually taken while a person is seated and still. That makes them useful for resting measurements, but it can leave important parts of a person’s blood-pressure pattern unobserved.
Blood pressure may not be measured during deep sleep or immediately after waking. Overnight changes and a pronounced rise after waking can therefore be missed by occasional daytime checks. The NUS project is aimed at capturing these changes in the context in which they occur, rather than relying only on isolated resting readings.
Exercise can produce rapid changes in systolic blood pressure. Monitoring during activity could help researchers and clinicians study unusually high or low responses that a resting cuff reading would not show. The research team reported testing the system during commuting, sleep and exercise, including strenuous exercise.
Arm-cuff monitors remain the familiar reference for blood-pressure measurement, but inflation can disturb sleep and the wearer generally has to remain still. Wrist-based wearables are easier to wear continuously, yet they require charging and cuffless blood-pressure estimates still need careful validation against accepted reference methods.
The NUS prototype targets both problems: it is designed to remain on the skin during ordinary movement and does not put a battery on each sensor. That convenience, however, should not be confused with clinical readiness.
The system does not measure pressure by inflating a cuff around the arm. Instead, it combines two related timing and physiological signals:
This approach is why the device is better described as a cuffless blood-pressure estimator. Its output depends on sensor signals, timing and calibration, so performance must be assessed against established reference measurements across different people and conditions.
The prototype makes an ordinary long-sleeved shirt part of the wearable network. A copper–nickel conductive-fabric track connects the sensor locations, while the wearer carries a smartphone on the upper arm.
The architecture uses two wireless channels for different jobs:
The textile is designed to separate the near-field power channel from the Bluetooth data channel. In effect, the smartphone acts as the hub: it powers the distributed sensors and receives their data without requiring batteries on the skin.
The idea builds on earlier work using near-field-enabled clothing to connect battery-free sensors at different points around the body.
Development began in the NUS Wireless Bioelectronics Group in 2021, with collaborators from the University of Arizona and Tsinghua University, according to reporting on the project. The work was reported in Nature Electronics as a battery-free wireless epidermal sensor network for continuous systolic blood-pressure monitoring.
The project also had a personal motivation. Researcher Selman Kurt’s father experienced “white-coat” hypertension—higher readings associated with the clinical setting—and found 24-hour cuff monitoring uncomfortable because the cuff inflated during sleep. That experience helped highlight the need for a less disruptive way to observe blood pressure over a full day and night.
The prototype’s next steps are practical as well as clinical.
The intended system would include an app that displays blood-pressure readings on the smartphone in real time. Turning sensor signals into a clear, dependable user experience will be necessary if the technology is to move beyond laboratory demonstrations.
The fabric currently withstands roughly 10 wash cycles before its ability to carry power and data begins to degrade. Clothing-based sensing will need to tolerate repeated washing and everyday wear more reliably before it becomes practical for routine use.
A five-person trial can demonstrate that the architecture works, but it cannot establish performance across the wider population or prove that the device is suitable for diagnosis. Further studies will need to compare the estimates with accepted blood-pressure reference methods across more users, activities and health conditions. Regulatory validation would also be required before commercial clinical use.
The NUS system’s main advance is architectural: it combines skin-adherent sensing with battery-free power delivery through clothing and smartphone-based data collection. That could make it easier to observe blood-pressure patterns during sleep, waking, exercise and ordinary activity—times when intermittent cuff readings may provide only limited context.
For now, it should be viewed as a promising research prototype rather than a replacement for a validated arm cuff. Its future depends on proving accuracy at scale, improving fabric durability and delivering reliable real-time readings in a practical wearable system.