Flexible Ultrasound Patch Monitors Cardiovascular Function
|
By MedImaging International staff writers Posted on 12 Aug 2021 |

The phased array ultrasound transducer patch (Photo courtesy of UCSD)
A novel wearable skin patch that incorporates an array of ultrasonic transducers can provide continuous monitoring of deep-tissue hemodynamics, claims a new study.
Developed at the University of California, San Diego (UCSD; USA), Yonsei University (Seoul, South Korea), the Korea Institute of Science and Technology (KIST; Seoul, Republic of Korea), and other institutions, the patch is made of a flexible, stretchable polymer that that is embedded with a 12X12 grid of millimeter-sized ultrasound transducers, in a phased array design. When electricity flows through the transducers, they emit ultrasound waves that travel through the skin and deep into the body.
The computerized phased array design has two main modes of operation. In one, the transducers are synchronized to transmit ultrasound waves together, producing a high-intensity ultrasound beam that focuses on one spot up to 14 centimeters in the body. In the other mode, the transducers can be programmed to transmit out of sync, allowing for active focusing and steering of ultrasound beams over a range of incident angles so as to target various regions of interest. When the waves penetrate through a major blood vessel, they encounter movement from red blood cells (RBCs) flowing inside.
These movement changes or shifts, known as Doppler frequency shift, reflect back to the patch, and are used to create a visual recording of the blood flow. This same mechanism can also be used to create moving images of the heart’s walls. In a study conducted in healthy volunteers, the phased array patch monitored Doppler spectra from cardiac tissues, recorded central blood flow waveforms, and estimated cerebral blood supply in real time. The study was published on July 16, 2021, in Nature Biomedical Engineering.
“Sensing signals at such depths is extremely challenging for wearable electronics. Yet, this is where the body’s most critical signals and the central organs are buried,” said co-first author nanoengineer Chonghe Wang, PhD, of UCSD. “We engineered a wearable device that can penetrate such deep tissue depths and sense those vital signals far beneath the skin. This technology can provide new insights for the field of healthcare.”
Related Links:
University of California
Yonsei University
Korea Institute of Science and Technology
Developed at the University of California, San Diego (UCSD; USA), Yonsei University (Seoul, South Korea), the Korea Institute of Science and Technology (KIST; Seoul, Republic of Korea), and other institutions, the patch is made of a flexible, stretchable polymer that that is embedded with a 12X12 grid of millimeter-sized ultrasound transducers, in a phased array design. When electricity flows through the transducers, they emit ultrasound waves that travel through the skin and deep into the body.
The computerized phased array design has two main modes of operation. In one, the transducers are synchronized to transmit ultrasound waves together, producing a high-intensity ultrasound beam that focuses on one spot up to 14 centimeters in the body. In the other mode, the transducers can be programmed to transmit out of sync, allowing for active focusing and steering of ultrasound beams over a range of incident angles so as to target various regions of interest. When the waves penetrate through a major blood vessel, they encounter movement from red blood cells (RBCs) flowing inside.
These movement changes or shifts, known as Doppler frequency shift, reflect back to the patch, and are used to create a visual recording of the blood flow. This same mechanism can also be used to create moving images of the heart’s walls. In a study conducted in healthy volunteers, the phased array patch monitored Doppler spectra from cardiac tissues, recorded central blood flow waveforms, and estimated cerebral blood supply in real time. The study was published on July 16, 2021, in Nature Biomedical Engineering.
“Sensing signals at such depths is extremely challenging for wearable electronics. Yet, this is where the body’s most critical signals and the central organs are buried,” said co-first author nanoengineer Chonghe Wang, PhD, of UCSD. “We engineered a wearable device that can penetrate such deep tissue depths and sense those vital signals far beneath the skin. This technology can provide new insights for the field of healthcare.”
Related Links:
University of California
Yonsei University
Korea Institute of Science and Technology
Latest Ultrasound News
- AI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
- Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
- New Ultrasound AI Tool Supports Rapid Prenatal Assessment
- New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
- Groundbreaking Technology to Enhance Precision in Emergency and Critical Care
- Reusable Gel Pad Made from Tamarind Seed Could Transform Ultrasound Examinations
- AI Model Accurately Detects Placenta Accreta in Pregnancy Before Delivery
- Portable Ultrasound Sensor to Enable Earlier Breast Cancer Detection
- Portable Imaging Scanner to Diagnose Lymphatic Disease in Real Time
- Imaging Technique Generates Simultaneous 3D Color Images of Soft-Tissue Structure and Vasculature
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read moreMRI
view channel
Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
Alzheimer’s disease, which accounts for 60% to 70% of dementia cases worldwide, remains difficult to predict early in its course. Accurate prognostication typically relies on neuropsychological testing,... Read more
AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
Cardiometabolic disease, driven by interactions between cardiovascular and metabolic systems, is a leading cause of morbidity and mortality. Risk assessment often relies on body mass index, which overlooks... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read more
New Proton Therapy Platform Integrates into Existing Radiotherapy Departments
Mevion Medical Systems (Littleton, MA, USA) has introduced the MEVION S250-FIT Proton Therapy System to the European radiation oncology community at ESTRO 2026, the first proton therapy platform designed... Read more
3D-Printed Intraoral Device Enhances Head and Neck Radiotherapy Accuracy
Ensuring consistent immobilization and soft-tissue positioning is central to safe, effective head and neck radiotherapy, where protection of organs at risk must be balanced with dose accuracy.... Read more
Molecular Imaging Agent Shows Promise for Endometriosis Detection and Monitoring
Diagnosing endometriosis remains challenging, particularly for superficial peritoneal endometriosis, the most common subtype, which is often missed on conventional imaging and typically requires laparoscopic... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







