| Autor: |
Elsawaf Y; Department of Neurological Surgery, Oregon Health & Science University, Portland, OR 97201, USA., Jaklitsch E; Department of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA., Belyea M; Department of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA., Rodriguez L; Department of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA., Silverman A; Department of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA., Valley H; Department of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA., Koleilat I; Department of Surgery, Community Medical Center, RWJ/Barnabas Health, Toms River, NJ 08753, USA., Yaghi NK; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA., Jaeggli M; Department of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA. |
| Abstrakt: |
Hydrocephalus is a clinical disorder caused by excessive cerebrospinal fluid (CSF) buildup in the ventricles of the brain, often requiring permanent CSF diversion via an implanted shunt system. Such shunts are prone to failure over time; an ambulatory intracranial pressure (ICP) monitoring device may assist in the detection of shunt failure without an invasive diagnostic workup. Additionally, high resolution, noninvasive intracranial pressure monitoring will help in the study of diseases such as normal pressure hydrocephalus (NPH) and idiopathic intracranial hypertension (IIH). We propose an implantable, continuous, rechargeable ICP monitoring device that communicates via Bluetooth with mobile applications. The design requirements were met at the lower ICP ranges; the obtained error fell within the idealized ±2 mmHg margin when obtaining pressure values at or below 20 mmHg. The error was slightly above the specified range at higher ICPs (±10% from 20-100 mmHg). The system successfully simulates occlusions and disconnections of the proximal and distal catheters, valve failure, and simulation of A and B ICP waves. The mobile application accurately detects the ICP fluctuations that occur in these physiologic states. The presented macro-scale prototype is an ex-vivo model of an implantable, rechargeable ICP monitoring system that has the potential to measure clinically relevant ICPs and wirelessly provide accessible and continuous data to aid in the workup of shunt failure. |
