Zhejiang University to Transfer Clinical Monitoring Technology Package for RMB 1 Million

Recently, Zhejiang University released a public notice on patent transfer, proposing to transfer patents through negotiated pricing.4 ItemsOverall transfer of medical technology achievements, with a total agreement amount ofRMB 1 million。

    Proposed Transfer of Four Patents by Zhejiang University

These four achievements coverInvention Patents, Utility Model Patents, and Computer Software CopyrightsCategory III, Core FocusClinical Monitoring and Testing Technologiesfield. The technological achievements transferred this time are highly innovative, all aimed at addressing actual clinical pain points:Monitoring Method and Device Based on Camera Capture of Monitor Screen Waveforms,Innovatively leveraging mobile device cameras combined with AI-based visual segmentation technology to enable low-cost, continuous monitoring of advanced hemodynamic parameters, suitable for resource-limited settings;Viscoelasticity Measurement Technology Based on Micro-Blood Samples, centered on the resonant Rayleigh wave sensor, significantly reduces sample requirements and detection costs while enabling comprehensive characterization of the dynamic coagulation process;Device for Online Monitoring of Inhaled Anesthetic Concentration in Exhaled Gas,Achieving non-invasive, high-precision real-time detection through the combination of virtual sensor arrays and SAW sensors;Hemodynamic Analysis System Software for Clinical Parameter MonitoringProvided professional algorithmic support and data processing solutions. The four achievements complement each other, covering key clinical scenarios such as anesthesia monitoring and coagulation testing, while combining technological innovation with practical applicability.

In clinical diagnosis and treatment,Anesthesia Management, Coagulation Function Assessment, and Hemodynamic MonitoringIt is a critical link in ensuring patient safety, with its core requirements centered on precise, safe, and convenient monitoring of physiological indicators. During anesthesia and surgery, inhalational anesthetics are widely used due to their rapid onset and fewer postoperative adverse reactions; however, the precise regulation of anesthetic dosage is directly related to the smooth progress of the surgery and patient safety, as both overdose and underdose may lead to serious complications.

Coagulation function testing serves as a critical basis for diagnosing hemorrhagic disorders, guiding intraoperative blood transfusion, and preventing thrombosis. The dynamic changes in the blood coagulation process directly reflect the body’s hemostatic capacity; abnormal coagulation states may lead to massive intraoperative hemorrhage or postoperative thrombus formation. Meanwhile, advanced hemodynamic parameters, such as cardiac output and stroke volume, are core indicators for assessing cardiovascular function and guiding individualized fluid therapy. Both hypovolemia and hypervolemia increase the risk of adverse outcomes, including organ dysfunction and elevated mortality rates.

Existing clinical protocols have significant limitations:Anesthetic Concentration MonitoringDependenceBlood Test, not only is it invasive, but it also fails to achieve real-time dynamic monitoring, making it difficult to meet the requirements for precise intraoperative regulation;Coagulation Function TestwithThromboelastography (TEG)These technologies are primarily based on such methods, but they suffer from complex instrument operation, high testing costs, insufficient sensitivity, and prolonged processing times. They require specialized personnel for operation, which limits their clinical adoption. In terms of hemodynamic monitoring, invasive monitoring causes significant trauma, while minimally invasive devices such as Weijeliu require expensive dedicated monitors and sensors. The high equipment costs hinder the implementation of precise patient management in resource-limited settings.

There is an urgent clinical need for innovative technologies adaptable to diverse healthcare settings. These technologies must feature non-invasive detection methods and simplified operations to alleviate patient suffering and reduce the burden on healthcare professionals. Additionally, the equipment should be low-cost and miniaturized to lower the threshold for medical investment. Meanwhile, test results must be precise and reliable, capable of comprehensively capturing dynamic changes in physiological indicators, thereby providing timely and effective diagnostic and therapeutic references for physicians. This will enable precise, full-process assistance ranging from anesthesia dosage regulation and coagulation function assessment to hemodynamic monitoring, thus filling the gaps in practicality and universality left by existing technologies.

The four technological achievements transferred this time center on the core needs of clinical monitoring, forming"Hardware + Software" "Testing + Analysis"a complete technical system, whose advantages and innovations are primarily reflected in precision, convenience, cost-effectiveness, and universality, comprehensively breaking through existing technological bottlenecks.

Its technical advantages include:

1. Precise and reliable detection with high data consistency:Monitoring technology based on camera capture of monitor screen waveforms extracts parameters using algorithms such as AI visual segmentation and waveform correction, showing high consistency with Weijeliu monitoring results; the blood viscoelasticity measurement device employs resonant Rayleigh wave sensors to accurately capture dynamic changes throughout the entire coagulation process; the anesthetic concentration monitoring device is equipped with SAW (Surface Acoustic Wave) sensors, offering detection sensitivity and reliability far superior to traditional methods.

Second: Convenient and efficient operation, lowering the barrier to use:Monitoring technology enables parameter acquisition via mobile device cameras, eliminating the need for complex modifications. The blood testing device utilizes disposable sample cups, requiring no sample pretreatment; sample loading is completed through manual or automatic push-pull mechanisms. The anesthetic concentration monitoring device directly collects gas samples from the breathing circuit, offering a fully non-invasive process that requires no patient cooperation.

Third: Reasonable cost control, adaptable to diverse scenarios:None of the four technologies require expensive, specialized equipment; designs featuring mobile terminal compatibility and disposable components significantly reduce hardware investment. The devices are easily miniaturized, making them suitable for clinical surgeries in tertiary hospitals while also meeting the needs for precision medicine in resource-limited settings.

Fourth: Functional synergy and complementarity, covering full-process monitoring:From monitoring hemodynamic parameters and assessing coagulation function to regulating anesthetic drug concentrations, and further to software-based data processing and analysis, these four achievements form a closed-loop system that provides comprehensive support for critical medical processes such as intraoperative anesthesia management and postoperative care.

Its core innovations include:

First: Innovation in Technical Pathways:By pioneering the integration of mobile terminal camera technology with AI-based visual segmentation, this approach enables continuous, automated monitoring of advanced hemodynamic parameters, offering a novel solution for telemedicine. Furthermore, by utilizing exhaled breath as the detection medium to replace traditional blood tests, it establishes a new paradigm for non-invasive monitoring of anesthetic drug concentrations.

Second: Hardware Design Innovation:The blood testing device employs a SiO₂-protected resonant Rayleigh wave sensor, combined with PID temperature control technology, to minimize sample volume requirements while ensuring detection stability. The virtual sensor array of the anesthetic monitoring device achieves multi-component separation by integrating capillary chips, enabling a single sensor to detect multiple anesthetics.

Third: Algorithm and Software Innovation:The hemodynamic analysis software incorporates feature point recognition algorithms and deep learning models to accurately calculate core parameters such as cardiac output and stroke volume. The adverse blood pressure prediction model, trained on multi-time-window datasets, achieves an 88% accuracy rate for predictions within a 5-minute window, enabling proactive risk warning.

The four clinical monitoring technology achievements transferred in this transaction establish an integrated technical system combining “hardware + software” and “testing + analysis.” They achieve technological breakthroughs in precision, convenience, cost-effectiveness, and universality, offering technical advantages such as accurate detection, user-friendly operation, cost adaptability, and functional synergy. Core innovations are reflected in the technical pathways, hardware design, and algorithmic software. With the advancement of smart healthcare and tiered diagnosis and treatment, these technologies can effectively meet the needs of medical institutions at all levels and support telemedicine, demonstrating broad market application prospects and strong potential for industrialization and commercialization.

In the current field of medical monitoring, technologies and products related to camera-based capture of monitor screen waveforms are accelerating their development with the core objectives of “cost reduction and efficiency improvement, as well as scenario expansion.” This has led to a market landscape characterized by the parallel advancement of “upgrades to traditional equipment” and “breakthroughs in emerging technologies,” featuring both mature commercialized products already deployed and innovative technologies from universities and research institutions gradually entering clinical practice.

Philips HealthcareLaunched at the 2025 CMEFIntelliVue MX850 Patient Monitor, in addition to routine monitoring functions, newly added"Remote Waveform Sharing"Module—Automatically records waveforms such as arterial pressure and heart rate from the screen via the device’s built-in high-definition camera. By integrating with embedded CDSS tools like Avatar/Alarm Advisor, it synchronously encrypts and transmits waveform data and alarm information to mobile devices, enabling remote physicians to view them in real time and provide tele-guidance. This feature is tailored for tiered diagnosis and treatment scenarios and has been piloted in the ICUs and operating rooms of select Grade A tertiary hospitals in China. Its key advantage lies in deep compatibility with existing monitoring systems; however, due to its reliance on proprietary hardware, it currently does not support waveform acquisition from monitors of other brands.

In the field of innovative research and development at universities and research institutions, core breakthroughs are concentrated in“Eliminating Dependence on Dedicated Equipment, Lowering the Barrier to Application”, and multiple technologies have entered the clinical validation phase. In addition to the “Medical Auxiliary Monitoring Technology Based on Camera Capture of Monitor Screen Waveforms” transferred by Zhejiang University this time,The Jijian Song Team at Lishui Hospital of Zhejiang University (in collaboration with Southern University of Science and Technology)The nation’s first, recently completedMulticenter Neonatal Intensive Care Unit (NICU) Study, also based on “video-based non-contact monitoring” technology—by recording heart rate waveforms from neonatal monitor screens using ordinary cameras, combined with a self-developed DIS pulse wave monitoring algorithm and an adaptive dynamic skin perfusion region identification strategy to extract 12-dimensional heart rate variability (HRV) indicators. This approach not only enables assessment of the maturity of autonomic nervous system development in newborns but also facilitates the classification of preterm and full-term infants through waveform analysis. The technology specifically addresses challenges posed by frequent involuntary movements in neonates and the complex environment of the Neonatal Intensive Care Unit (NICU). Its advantage lies in enhancing the clinical value of waveform data solely through algorithm optimization, without requiring modifications to existing monitors.

The medical monitoring sector is currently embracing dual opportunities in technological innovation and market expansion, forming a diversified landscape characterized by the parallel development of "upgrading traditional equipment" and "breakthroughs in emerging technologies." On the enterprise side, industry leaders such as Philips are focusing on functional iterations of specialized devices. By integrating high-definition cameras, remote data transmission, and intelligent analysis tools into patient monitors, they enable cross-scenario sharing of waveform data and remote guidance, thereby deeply aligning with the needs of tiered diagnosis and treatment. Although these solutions have been piloted in the ICUs and operating rooms of some Grade 3A hospitals, they remain constrained by reliance on proprietary equipment, resulting in limitations regarding cross-brand compatibility.

In universities and research institutions, innovation efforts are concentrated on breaking free from equipment constraints and lowering application barriers. Typical examples include Zhejiang University’s recently transferred “monitoring technology based on waveform capture from monitor screens” and the neonatal video-based non-contact monitoring technology jointly developed by Zhejiang University Lishui Hospital and Southern University of Science and Technology. By optimizing algorithmic models and pioneering non-contact monitoring approaches, these technologies enable precise extraction of core physiological parameters and deeper clinical value realization without requiring modifications to existing equipment. They effectively address pain points such as monitoring special populations and meeting healthcare demands in resource-limited regions. These two development pathways emphasize different aspects while complementing each other: the former leverages mature equipment ecosystems to facilitate technology implementation, while the latter expands application scenarios through lightweight innovations. Together, they propel the medical monitoring industry toward greater precision, convenience, and universality, providing diverse technological support for safety assurance throughout the entire clinical diagnosis and treatment process.