Dynamic Evaluation of a Digital Wireless Intracranial Pressure Sensor for the Assessment of Traumatic Brain Injury in a Swine Model

Meng, Xu; Browne, Kevin D.; Huang, Shi-Min; Mietus, Constance J.; Cullen, D. Kacy; Tofighi, M-R; Rosen, A.

doi:10.1109/tmtt.2012.2224361

Cited by 40 publications

(17 citation statements)

References 26 publications

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“…Early attempts at passive (non-tethered) solutions operated at low frequencies, which require relatively large components and translate to sensor size in the cm 3 range [3][4][5][6][7][8][9][10] . Although their development has ceased, emerging wireless solutions specifically for ICP monitoring have also had large sizes, as they use batteries and active circuitry to power the sensor device [11][12][13][14][15][16][17][18] . The smallest wireless pressure monitoring device to date is a battery-powered wireless sensor that researchers have fit into a 1-mm 3 package for intraocular applications 19 .…”

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confidence: 99%

Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care

et al. 2014

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Continuous monitoring of internal physiological parameters is essential for critical care patients, but currently can only be practically achieved via tethered solutions. Here we report a wireless, real-time pressure monitoring system with passive, flexible, millimetre-scale sensors, scaled down to unprecedented dimensions of 1 Â 1 Â 0.1 cubic millimeters. This level of dimensional scaling is enabled by novel sensor design and detection schemes, which overcome the operating frequency limits of traditional strategies and exhibit insensitivity to lossy tissue environments. We demonstrate the use of this system to capture human pulse waveforms wirelessly in real time as well as to monitor in vivo intracranial pressure continuously in proof-of-concept mice studies using sensors down to 2.5 Â 2.5 Â 0.1 cubic millimeters. We further introduce printable wireless sensor arrays and show their use in real-time spatial pressure mapping. Looking forward, this technology has broader applications in continuous wireless monitoring of multiple physiological parameters for biomedical research and patient care.

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confidence: 99%

Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care

et al. 2014

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“…Figure 4 shows measurement setup and the prototype of Slot PIFA antenna on FR4 substrate. We assume that the antenna and its cover will be coated with a biocompatible coating [1], [13], whose dielectric constant is close to that of the surrounding media, so that it does not affect the antenna performance.…”

Section: Measurement Resultsmentioning

confidence: 99%

Miniaturized E-shaped PIFA antenna for wideband implantable biomedical applications

Gozasht

Hossain

Mohan

2013

2013 International Conference on Electromagnetics in Advanced Applications (ICEAA)

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“…Intracranial Pressure Monitoring (IPM) (Cai et al, 2013) provides ICP data and cerebral perfusion pressure with reactions of the brain to interventions and stimula. The monitoring devices are classified by the anatomy location and the type of system and can be intraventricular,subarachnoid, epidural and at optical fibres (Meng et al, 2013). These last ones, determine the changes of the quantity of the light reflected by a diaphragm, which detects the pressure and is placed in the spike of the optical fibre, gathering the ICP in the subdoral and intraventricular areas.…”

Section: Introductionmentioning

confidence: 99%

Soft Computing Approach to Predict Intracranial Pressure Values

Versaci¹

2014

American Journal of Applied Sciences

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The estimation and the prediction of the values related to the Intracranial Pression (ICP) represents an important step for the evaluation of the compliance of the human brain, above all in those cases in which the increase of the ICP values determines high risk conditions for the patient. The regular therapy is neurosurgical but, waiting for it, it is needed an aimed pharmacological therapy leading to an overload of the kidneys' functionality. Thus, it becomes evident the necessity to set an effective and efficient procedure for the prediction of the ICP values with a suitable time recordings to mark the systematic pharmacological action addressed towards really necessary deliverings. The prediction techniques most commonly used in the literature, while providing a good window of time, are characterized by heavy computational complexity unappetizing to real time applications and technology transfer. In addition, ICP sampling techniques are not free from uncertainties due to affected elements (breath, heartbeat, voluntary/involuntary movement) requesting the manipulation of uncertain and imprecise data. Thus, the choice of predictive techniques of soft computing type appears reasonable firstly, because it manipulates data effectively with uncertainty and /or imprecision and, secondly, for the same time frame predictive requires are duce computational load. In this study the author presents a study of the prediction of the ICP values through a two factors fuzzy time series comparing the results with more sophisticated techniques.

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Dynamic Evaluation of a Digital Wireless Intracranial Pressure Sensor for the Assessment of Traumatic Brain Injury in a Swine Model

Cited by 40 publications

References 26 publications

Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care

Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care

Miniaturized E-shaped PIFA antenna for wideband implantable biomedical applications

Soft Computing Approach to Predict Intracranial Pressure Values

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