Viasonix Dolphin TCD & ICM+ Integration: Empowering Cerebrovascular Management

The integration of Viasonix Dolphin TCD with ICM+ application software enables continuous monitoring of cerebral autoregulation indices, providing healthcare professionals with valuable insights into various cerebrovascular conditions and improving patient care.

We are thrilled to announce an important development for Viasonix: the complete integration of our Dolphin Transcranial Doppler (TCD) machine with the ICM+ application software by Cambridge University.

This integration allows the Dolphin to export its raw data digitally into ICM+, enabling continuous monitoring of cerebral autoregulation indices and improving patient care.

Viasonix joins other TCD manufacturers with similar integrations, such as NovaSignal, Delica and DWL

This development strengthens Viasonix’s position in the market by offering valuable insights into various cerebrovascular conditions. 

Select the Dolphin TCD option in ICM+ Software

Understanding Cerebral Autoregulation and Its Importance

Cerebral autoregulation is the brain’s ability to maintain relatively constant blood flow during changes in cerebral perfusion pressure (CPP) or arterial blood pressure (ABP). 

Continuous indices of cerebral autoregulation can be calculated from spontaneous fluctuations of CPP, ABP, and cerebral blood flow velocity (FV) using ICM+. 

Monitoring cerebral autoregulation is crucial for managing patients with cerebrovascular conditions, as it allows healthcare professionals to make better-informed decisions and ultimately enhances patient outcomes.

Mean Flow Index (Mx and Mxa) and Their Clinical Applications

The mean flow index is a widely-used TCD index derived from the moving correlation coefficient between mean flow velocity (FVm) and CPP (producing Mx), or ABP (producing Mxa). 

Numerous publications have linked Mx and Mxa to patient outcomes in traumatic brain injury (TBI). The integration of the Dolphin TCD machine and the ICM+ application software enables monitoring of these indices, contributing to faster diagnoses and improved patient care.

Non-Invasive Intracranial Pressure Evaluation with Integrated Technology

Intracranial pressure (ICP) evaluation is a crucial aspect of managing patients with cerebrovascular conditions. The integration of the Dolphin TCD machine and the ICM+ offers a non-invasive approach to assess ICP.

This innovative method reduces the risks associated with invasive ICP monitoring. By offering a safer, more efficient alternative to traditional ICP monitoring, the Dolphin and ICM+ integration further solidifies its place as a cutting-edge solution for cerebrovascular assessment and management.

Cerebral Autoregulation Index (ARI) for Comprehensive Assessment

Cerebral autoregulation can also be assessed using the autoregulation index (ARI), a dimensionless index ranging from 0 to 9. ARI is estimated using transfer function analysis of spontaneous fluctuations in ABP and FV.

On ICM+, ARI is implemented as an in-built function, enabling healthcare professionals to monitor and assess cerebral autoregulation more accurately.

Visual Recognition of Cerebral Autoregulation State with ICM+

With the integration of Dolphin TCD and ICM+, it is possible to create color-coded risk charts for visual recognition of the state of cerebral autoregulation, aiding healthcare professionals in making informed decisions. 

These charts use colors like red, yellow, and green to represent different risk levels based on the monitored autoregulation indices.

Looking Ahead: Viasonix's Commitment to Excellence

In conclusion, the integration of Viasonix’s Dolphin TCD machine with Cambridge University’s ICM+ application software is a crucial step in maintaining our competitive edge in the medical technology industry. 

By combining the strengths of these two powerful platforms, healthcare professionals can access a wealth of vital data for improved patient care. Viasonix will continue to invest in digital innovation, ensuring that we remain at the forefront of medical technology advancements.

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