A Nanometer Resolution Wearable Wireless Medical Device for Non Invasive Intracranial Pressure Monitoring

A Nanometer Resolution Wearable Wireless Medical Device for Non Invasive Intracranial Pressure Monitoring

The non-invasive intracranial pressure (NIICP) method based on a skull deformation has been proven to be a significant tool for an assessment of the intracranial pressure (ICP) and compliance. Herein, we present the development and characterization of a novel wireless sensor that uses this method as...

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Bibliographic Details
Published in:IEEE sensors journal Vol. 21; no. 20; pp. 22270 - 22284
Main Authors: Andrade, Rodrigo de A. P., Oshiro, Helder Eiki, Miyazaki, Caio Kioshi, Hayashi, Cintya Yukie, de Morais, Marcos Antonio, Brunelli, Rodrigo, Carmo, Joao Paulo
Format: Journal Article
Language:English
Published: New York IEEE 15-10-2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Amplitudes
Analog to digital conversion
Biomedical monitoring
Blood
Cranium
displacement sensor
Distortion
intracranial compliance
Intracranial pressure
Intracranial pressure sensors
medical device
Monitoring
nanometer resolution
Non-invasive intracranial pressure
Sensors
skull deformation
Waveforms
wearable sensor
Wireless communication
Wireless communications
wireless sensor
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Summary:The non-invasive intracranial pressure (NIICP) method based on a skull deformation has been proven to be a significant tool for an assessment of the intracranial pressure (ICP) and compliance. Herein, we present the development and characterization of a novel wireless sensor that uses this method as its working principle and was designed to be easy to use, to have a high resolution, and to achieve a good accessibility. Initially, a brief review of the physiology fundamentals of the ICP and the historic evolution of the NIICP method are mentioned. The sensor architecture and the rationale for the chosen components are then presented, aiming to ensure nanometer displacement measurements, the conversion of analog resolution to digital at a high speed, the fewest amount of distortion, wireless communication, and signal calibration. The NIICP signal has a typical amplitude of <inline-formula> <tex-math notation="LaTeX">5~\mu \text{m} </tex-math></inline-formula>, and thus a resolution of at least 1% of this amplitude is required for an NIICP waveform analysis. We also demonstrate a 40-nm resolution of the sensor using a nanometric displacement test system that can also respond dynamically for NIICP signals from 50 to 180 bpm without any significant distortion (maximum deviation of P2/P1 ratio of 2.6%). The future applications for this device are broad and can enhance a clinical assessment of the intracranial dynamics.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2021.3090648