Signal Processing Methods Monitor Cranial Pressure
- Created: Friday, 01 January 2010
Through the course of normal, everyday activities, blood in the brain is shifted around to different sections, according to where it is needed for that activity. When a person suffers from one of these brain blood flow-related problems, the body often will not regulate blood flow to the brain, and this can manifest as cognitive impairment.
For example, a person who has suffered a traumatic brain injury may not be able to complete two tasks at the same time, even something as commonplace as tying shoes and holding a conversation simultaneously. The brain’s ability to respond to these daily activities, providing a relatively stable blood flow during regular activities that may raise or lower blood pressure, is called dynamic cerebral autoregulation, and it is toward understanding this phenomenon that DynaDx is applying the NASA-derived HHT technology. DynaDx calls its HHT-based process Multimodal Pressure-Flow (MMPF), and it is proving to be an accurate and sensitive analysis of dynamic cerebral autoregulation.
One of DynaDx’s research advisors, Dr. Vera Novak, a gerontologist with Beth Israel Deaconess Medical Center and an associate professor at Harvard University’s School of Medicine, is using MMPF to study the effects of ageing on cerebral blood flow regulation, the body’s ability to control the relationship between blood pressure and blood flow in the brain.
“After we had done several analyses, we found that the MMPF is more sensitive and specific than the current methods that assess autoregulation,” Novak says. This work on geriatric patients can also be used to help researchers and doctors know more about other brain blood flow disorders, like those stemming from brain injuries and stroke.
According to Novak, traditional methods for analyzing blood pressure “presume that heart rate and blood pressure are at constant intervals. If you record a beat-to-beat signal of blood flow velocity, of blood pressure, there’s a lot of information in these signals. They are not stable. They change with every beat, and also the time interval between heart beats is different, as is the blood pressure and blood flow velocities. Using MMPF really improves the sensitivity and specificity of the measurements.”
MMPF is currently being used in research settings, but it could soon be moved into clinical applications where different methods could be tested to improve patient conditions, and MMPF could help determine which methods are effective. The technology also has potential application in acute care settings.
Clinicians could predict changes in intracranial pressure in patients, itself an important indicator of neurological status. And since the technology is noninvasive and simple to use, it can be employed in triage settings, alerting caregivers of changes in intracranial pressure in stroke or brain injury victims who would not otherwise qualify for more invasive methods. This can result in the patient being sent to the operating room earlier if necessary, a potentially lifesaving decision.
In addition to MMPF, DynaDx has developed the scientific computation software, DataDemon, which is the only commercial data analysis software with built-in HHT algorithm.
DataDemon software is very easy to use; no programming skill is required. Users can build the data analysis diagram with several simple mouse clicks, and the results are ready for viewing and final reporting.
Besides the HHT algorithm, DataDemon includes tools for data filtering, math calculation, statistics, matrix operation, data transformation, and other popular time-frequency analysis methods, such as short-term Fourier transform, (Enhanced) Morlet wavelet, and Hilbert transform. DataDemon software is available now in both academic and professional versions.