Remote Sensor Band Monitors Uterine Activity
|
By HospiMedica International staff writers Posted on 22 Jun 2021 |

Image: The INVU remote pregnancy monitoring platform (Photo courtesy of INVU)
A novel platform monitors fetal heart rate (FHR), maternal heart rate (MHR), and uterine activity (UA) from afar, allowing non-stress tests (NSTs) to be performed at home.
The Nuvo (Tel Aviv, Israel) INVU remote pregnancy monitoring platform uses only external sensors attached to a lightweight, durable, and uncomplicated band to provide a completely passive and unique set of physiological measures from both mother and baby to derive FHR, MHR, and UA. Cloud-based data capture and digital signal processing are executed using proprietary algorithms, allowing providers to observe changes and evaluate trends that inform decisions about each pregnancy without the need for an in-hospital or in-clinic procedure.
A clinical dashboard provides doctors with access to patient vitals that are comparable to in-office readings, while a parent-facing paired app visualizes the measurements into simplified data and insights to empower them with pregnancy insights. The data captured from INVU sessions and from other robust data sets will be combined to develop artificial intelligence (AI) based models that will enable future comprehensive data analysis and predictive pathways. INVU is only available by prescription from healthcare providers.
“The ability to combine this new indication with remote monitoring of fetal and maternal heart rates allows INVU to provide expectant mothers and their healthcare providers with a comprehensive care system that captures deep data from 32 weeks in the pregnancy,” said Oren Oz, founder and CEO of Nuvo Group.
“INVU's unique ability to perform non-stress tests remotely is a significant step forward for pregnancy care,” said professor of obstetrics, gynecology & reproductive science, and pediatrics Joshua Copel, MD, of Yale School of Medicine (New Haven, CT, USA), who is also chair of Nuvo's medical advisory board. “As an increasing number of patients look to telemedicine for convenient care that doesn't sacrifice quality, INVU provides a reliable solution to help monitor fetal well-being.”
Related Links:
Nuvo
Yale School of Medicine
The Nuvo (Tel Aviv, Israel) INVU remote pregnancy monitoring platform uses only external sensors attached to a lightweight, durable, and uncomplicated band to provide a completely passive and unique set of physiological measures from both mother and baby to derive FHR, MHR, and UA. Cloud-based data capture and digital signal processing are executed using proprietary algorithms, allowing providers to observe changes and evaluate trends that inform decisions about each pregnancy without the need for an in-hospital or in-clinic procedure.
A clinical dashboard provides doctors with access to patient vitals that are comparable to in-office readings, while a parent-facing paired app visualizes the measurements into simplified data and insights to empower them with pregnancy insights. The data captured from INVU sessions and from other robust data sets will be combined to develop artificial intelligence (AI) based models that will enable future comprehensive data analysis and predictive pathways. INVU is only available by prescription from healthcare providers.
“The ability to combine this new indication with remote monitoring of fetal and maternal heart rates allows INVU to provide expectant mothers and their healthcare providers with a comprehensive care system that captures deep data from 32 weeks in the pregnancy,” said Oren Oz, founder and CEO of Nuvo Group.
“INVU's unique ability to perform non-stress tests remotely is a significant step forward for pregnancy care,” said professor of obstetrics, gynecology & reproductive science, and pediatrics Joshua Copel, MD, of Yale School of Medicine (New Haven, CT, USA), who is also chair of Nuvo's medical advisory board. “As an increasing number of patients look to telemedicine for convenient care that doesn't sacrifice quality, INVU provides a reliable solution to help monitor fetal well-being.”
Related Links:
Nuvo
Yale School of Medicine
Latest Patient Care News
- Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
- Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
- VR Training Tool Combats Contamination of Portable Medical Equipment
- Portable Biosensor Platform to Reduce Hospital-Acquired Infections
- First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
- Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

- Game-Changing Innovation in Surgical Instrument Sterilization Significantly Improves OR Throughput
- Next Gen ICU Bed to Help Address Complex Critical Care Needs
- Groundbreaking AI-Powered UV-C Disinfection Technology Redefines Infection Control Landscape
- Clean Hospitals Can Reduce Antibiotic Resistance, Save Lives
- Smart Hospital Beds Improve Accuracy of Medical Diagnosis
- New Fast Endoscope Drying System Improves Productivity and Traceability
- World’s First Automated Endoscope Cleaner Fights Antimicrobial Resistance
- Portable High-Capacity Digital Stretcher Scales Provide Precision Weighing for Patients in ER
- Portable Clinical Scale with Remote Indicator Allows for Flexible Patient Weighing Use
- Innovative and Highly Customizable Medical Carts Offer Unlimited Configuration Possibilities
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 moreCritical Care
view channel
Eye Imaging AI Identifies Elevated Cardiovascular Risk
Many adults at risk for atherosclerotic cardiovascular disease are not identified until they undergo formal primary care assessment. Delayed risk recognition can postpone initiation of statins and lifestyle... Read more
Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... 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 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







