Wearable Radar Sensor Measures Blood Pressure Continuously
|
By HospiMedica International staff writers Posted on 26 Feb 2020 |

Image: The CWR sensor that attaches to the sternum (Photo courtesy of Monash University)
A new study describes how two clip-on sensors attached to the sternum and earlobe can provide real-time blood pressure results.
Under development at Monash University (Melbourne, Australia), the novel measurement technique is based on radar sensor methodology. Instead of the traditional arm cuff, it uses a small continuous wave radar (CWR) sensor adhered to the sternum, and a photoplethysmogram sensor (PPG) clipped to the left earlobe. Using both sensors, the system measures pulse arrival time (PAT), pre-ejection period (PEP), and pulse transit time (PTT), and calculate continuous systolic blood pressure (SBP) from the data.
The researchers then collected experimental data from 43 subjects (40-65 years of age) in various static postures, as well as in 26 subjects doing six different exercise tasks, such as cycling on a stationary bike. Two mathematical models were then used to calculate SBP from the PTT/PAT data, and compare then to simultaneous sphygmomanometer readings. The results showed that for participants in the posture tasks, the best cumulative error percentage (CEP) was 92.28%, and for those in the exercises group, the best CEP was 82.61%. Additionally, removing PEP from PAT lead to a 9% improvement in results. The study was published on November 27, 2019, in Nature Scientific Reports.
“Clinicians still cannot continuously measure blood pressure during sleep, nor during times of activity such as walking or running. This means people with high, low, or irregular blood pressure can’t get the critical information they need about the state of their health around the clock,” said senior author Mehmet Yuce, PhD, of the department of electrical and computer systems engineering. “A wearable device that can provide comfort and portability while people are going about their daily lives will be a significant development for the health sector in Australia and internationally.”
CWR uses known radiofrequency (RF) energy that is transmitted and then received from any reflecting objects. Any movement of the transmitter, target, or both causes a change in the frequency of the electromagnetic wave, known as the Doppler shift. It is also possible to use CWR to measure range instead of range rate by frequency modulation. By measuring the frequency of the return signal, the time delay between transmission and reception can be measured.
Related Links:
Monash University
Under development at Monash University (Melbourne, Australia), the novel measurement technique is based on radar sensor methodology. Instead of the traditional arm cuff, it uses a small continuous wave radar (CWR) sensor adhered to the sternum, and a photoplethysmogram sensor (PPG) clipped to the left earlobe. Using both sensors, the system measures pulse arrival time (PAT), pre-ejection period (PEP), and pulse transit time (PTT), and calculate continuous systolic blood pressure (SBP) from the data.
The researchers then collected experimental data from 43 subjects (40-65 years of age) in various static postures, as well as in 26 subjects doing six different exercise tasks, such as cycling on a stationary bike. Two mathematical models were then used to calculate SBP from the PTT/PAT data, and compare then to simultaneous sphygmomanometer readings. The results showed that for participants in the posture tasks, the best cumulative error percentage (CEP) was 92.28%, and for those in the exercises group, the best CEP was 82.61%. Additionally, removing PEP from PAT lead to a 9% improvement in results. The study was published on November 27, 2019, in Nature Scientific Reports.
“Clinicians still cannot continuously measure blood pressure during sleep, nor during times of activity such as walking or running. This means people with high, low, or irregular blood pressure can’t get the critical information they need about the state of their health around the clock,” said senior author Mehmet Yuce, PhD, of the department of electrical and computer systems engineering. “A wearable device that can provide comfort and portability while people are going about their daily lives will be a significant development for the health sector in Australia and internationally.”
CWR uses known radiofrequency (RF) energy that is transmitted and then received from any reflecting objects. Any movement of the transmitter, target, or both causes a change in the frequency of the electromagnetic wave, known as the Doppler shift. It is also possible to use CWR to measure range instead of range rate by frequency modulation. By measuring the frequency of the return signal, the time delay between transmission and reception can be measured.
Related Links:
Monash University
Latest Critical Care News
- Angiography-Based FFR Approach Matches Gold Standard Results Without Wires
- Eye Imaging AI Identifies Elevated Cardiovascular Risk
- Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
- Automated IV Labeling Solution Improves Infusion Safety and Efficiency
- First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
- 4D Digital Twin Heart Model Improves CRT Outcomes
- AI Turns Glucose Data Into Actionable Insights for Diabetes Care
- Microscale Wireless Implant Tracks Brain Activity Over Time
- Smart Mask Delivers Continuous, Battery-Free Breath Monitoring
- Routine Blood Pressure Readings May Identify Risk of Future Cognitive Decline
- CGM-Based Algorithm Enhances Insulin Dose Adjustment in Type 2 Diabetes
- Fish Scale–Based Implants Offer New Approach to Corneal Repair
- Dual-Function Wound Patch Combines Infection Sensing and Treatment
- Smartwatch Signals and Blood Tests Team Up for Early Warning on Insulin Resistance
- Smart Fabric Technology Aims to Prevent Pressure Injuries in Hospital Care
- Standardized Treatment Algorithm Improves Blood Pressure Control
Channels
Artificial Intelligence
view channelAI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read more
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read moreSurgical Techniques
view channel
Fiber-Form Bone Graft Expands Intraoperative Options for Spinal Fusion
Spinal and orthopedic fusion procedures often require bone graft materials that handle predictably and support bone formation. Surgeons face added complexity in difficult anatomy and challenging fusion environments.... Read more
Ultrasound‑Aided Catheter Treatment Cuts Early Collapse in Pulmonary Embolism
Acute pulmonary embolism can cause rapid hemodynamic deterioration and early death in hospitalized and emergency patients. Systemic thrombolysis can dissolve clots but is limited by a high risk of major... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
Voice-Driven AI System Enables Structured GI Procedure Documentation
Documentation during gastrointestinal (GI) procedures often competes with real-time clinical decision-making and imposes a significant cognitive burden on physicians. Manual data entry and post-procedure... Read more
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel







