A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation
Intracranial pressure (ICP) is a cranial vital sign, crucial in the monitoring and treatment of several neurological injuries. The clinically accepted measurement modalities of ICP are highly invasive, carrying risks of infection and limiting the benefits of ICP measurement to a small subset of crit...
| Main Authors: | , , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/132643 |
| _version_ | 1811095252582268928 |
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| author | Jaishankar, Rohan Fanelli, Andrea Filippidis, Aristotelis Vu, Thai Holsapple, James Heldt, Thomas |
| author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
| author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Jaishankar, Rohan Fanelli, Andrea Filippidis, Aristotelis Vu, Thai Holsapple, James Heldt, Thomas |
| author_sort | Jaishankar, Rohan |
| collection | MIT |
| description | Intracranial pressure (ICP) is a cranial vital sign, crucial in the monitoring and treatment of several neurological injuries. The clinically accepted measurement modalities of ICP are highly invasive, carrying risks of infection and limiting the benefits of ICP measurement to a small subset of critically ill patients. This work aims to take a step towards developing an accurate noninvasive means of estimating ICP, by utilizing a model-based frequency-domain approach. The mean ICP and pulse pressures of ICP are estimated from arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV) waveforms, and the estimates are validated on an adult population, comprising of around two hours of data from five patients. The algorithm was shown to have an accuracy (mean error) of -1.5 mmHg and a precision (standard deviation of the error) of 4.3 mmHg in estimating the mean ICP. These results are comparable to the previously reported errors among the currently accepted invasive measurement methods, and well within the clinically relevant range. |
| first_indexed | 2024-09-23T16:14:03Z |
| format | Article |
| id | mit-1721.1/132643 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:14:03Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1326432022-09-29T19:02:04Z A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation Jaishankar, Rohan Fanelli, Andrea Filippidis, Aristotelis Vu, Thai Holsapple, James Heldt, Thomas Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Intracranial pressure (ICP) is a cranial vital sign, crucial in the monitoring and treatment of several neurological injuries. The clinically accepted measurement modalities of ICP are highly invasive, carrying risks of infection and limiting the benefits of ICP measurement to a small subset of critically ill patients. This work aims to take a step towards developing an accurate noninvasive means of estimating ICP, by utilizing a model-based frequency-domain approach. The mean ICP and pulse pressures of ICP are estimated from arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV) waveforms, and the estimates are validated on an adult population, comprising of around two hours of data from five patients. The algorithm was shown to have an accuracy (mean error) of -1.5 mmHg and a precision (standard deviation of the error) of 4.3 mmHg in estimating the mean ICP. These results are comparable to the previously reported errors among the currently accepted invasive measurement methods, and well within the clinically relevant range. 2021-09-27T15:20:46Z 2021-09-27T15:20:46Z 2019-10 2019-07 Article http://purl.org/eprint/type/ConferencePaper 978-1-5386-1311-5 1558-4615 https://hdl.handle.net/1721.1/132643 Jaishankar, Rohan et al. "A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation." 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (October 2019): dx.doi.org/10.1109/embc.2019.8857042. © 2019 IEEE http://dx.doi.org/10.1109/embc.2019.8857042 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Heldt via Phoebe Ayers |
| spellingShingle | Jaishankar, Rohan Fanelli, Andrea Filippidis, Aristotelis Vu, Thai Holsapple, James Heldt, Thomas A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation |
| title | A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation |
| title_full | A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation |
| title_fullStr | A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation |
| title_full_unstemmed | A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation |
| title_short | A Frequency-domain Approach to Noninvasive Intracranial Pressure Estimation |
| title_sort | frequency domain approach to noninvasive intracranial pressure estimation |
| url | https://hdl.handle.net/1721.1/132643 |
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