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Determining intracranial pressure non-invasively by acoustic transducer

An acoustic transducer and acoustic technology, applied in methods and systems, collecting and processing acoustic data to non-invasively derive accurate ICP measurement values, can solve problems such as large volume, ischemia, and fragility

Inactive Publication Date: 2008-03-26
菲西奥松尼克斯公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

While such catheters are very reliable and provide the most accurate measurement of ABP, they require placement by trained medical personnel, usually a physician, and they require bulky, complex, fragile, sterile instruments
In addition, when these catheters are placed, there is a risk of ischemia from long-term arterial damage
Therefore, these invasive monitoring methods should only be used in medical settings and in patients who are seriously ill or undergoing surgical procedures

Method used

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  • Determining intracranial pressure non-invasively by acoustic transducer
  • Determining intracranial pressure non-invasively by acoustic transducer
  • Determining intracranial pressure non-invasively by acoustic transducer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0264] Empirical based on the use of TCD V_mca and invasively determined serial ABP measurements as variables ICP Prediction Results of the Study

[0265] A prototype system that collects data, derives and applies the nonlinear relationship between cranial vessel velocity and ABP variables can be assembled using commercially available components. This prototype consists of a laptop computer using a National Instruments (NI) 6204-E PCMCIA data acquisition (DAQ) card, a box containing the NI-DAQ card's exposed backplane and microphone input matching circuitry, designed to fit in and space A dedicated adapter for the signal output port of the laboratory telemetry unit, and a TCD 100M power M-mode digital transcranial Doppler device from Spencer Technologies and a console with a standard TCD ultrasound transducer, and FDA-approved for mechanical The headgear device fixed on the head. Spencer Technologies' TCD 100M device does not make any modifications to the FDA-approv...

Embodiment 2

[0279] ICP prediction results based on experimental research and ANN training and verification

[0280] Using blood pressure derived directly from the arterial line, or using arterial line-based ABP data reduced to simulated ABP data obtained from a blood pressure cuff, the prototype device described in Example 1 and in this specification The described nICP determination method was successfully tested on eighteen (18) patients at Harborview Medical Center in Seattle, Washington. A detailed description of the results for 8 of 18 patients is given in Example 1. Other results are summarized below.

[0281] To determine the constants in the ICP prediction method, we collected data from a set of patients (the "training set") for whom we knew the invasive measurements of ICP as well as acoustic backscatter and ABP. For patients with focal lesions in the training group, their ICP was measured invasively from the same cerebral hemisphere as the lesion, and acoustic backscat...

Embodiment 3

[0290] Using the experimental system described in Example 1, another feasibility and validity test of the above method can be performed. Acoustic backscatter, ABP and invasively measured ICP data were collected from a patient set ("training set") comprising 25 patients. For the training group of patients with focal lesions, ICP was measured invasively from the same cerebral hemisphere as the lesion, and acoustic backscatter was also measured from this side. Acoustic backscatter data was collected from the MCA, and MCA velocity values ​​were derived from the acoustic backscatter using conventional Doppler techniques. Using the data described above and the neural network training protocol described above, an empirical algorithm was derived.

[0291] The derived algorithm was then tested in an iterative mode to determine ICP for 21 patients using only the acoustic backscatter and ABP data of the 21 validation patients for whom invasively measured ICP data had been collected ...

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Abstract

A plurality of acoustic source and / or detector elements are employed in a scanning mode to acoustically illuminate and acquire acoustic data from numerous sites within a larger target area. Based on the acoustic data collected in the scanning mode, a localised site within the target area is selected as the target site for focused acoustic illumination and / or probing. Elements of the acoustic source / detector array are focused on the selected target site in an automated fashion. Thereafter, the target area is periodically scanned and the acoustic focus repositioned, as required, to maintain the focus of the acoustic source at the desired target site.

Description

[0001] About Priority Claims [0002] This application claims priority to US Provisional Application No. 60 / 475803, filed June 3, 2003, and US Provisional Application No. 60 / 508836, filed October 1, 2003. [0003] Technical Field of the Invention [0004] In one aspect, the invention relates to a method and system for determining intracranial pressure (ICP) from variable physiological parameters that can be measured using non-invasive or minimally invasive techniques. In another aspect, the present invention relates to a method and system for acquiring and processing acoustic data to non-invasively derive accurate ICP determinations. In yet another aspect, the present invention provides a method and system for locating and acoustically scanning an area of ​​interest based on its acoustic properties, identifying a target site in an area of ​​interest based on its acoustic properties, automatically aligning sound sources and / or The detector is focused on the target site. Acous...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B8/00A61B8/02A61B8/06A61B8/12A61B8/14A61B5/03
CPCA61B5/7267A61B8/0808A61B5/031A61B8/06A61B8/485A61B8/4472A61B5/4064A61B8/4444A61B8/4483A61B8/58G16H50/70
Inventor 皮埃尔·穆拉德布兰特·莫尔米歇尔·克里奥特罗伯特·C·A·弗雷德里克森利·R·汤普森J·西瓦尔
Owner 菲西奥松尼克斯公司
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