TY - JOUR
T1 - Morphological feature extraction from a continuous intracranial pressure pulse via a peak clustering algorithm
AU - Lee, Hack Jin
AU - Jeong, Eun Jin
AU - Kim, Hakseung
AU - Czosnyka, Marek
AU - Kim, Dong Ju
N1 - Funding Information:
This work was supported by the Technology Innovation Program (or Industrial Strategic technology development program, "establishing a medical device development open platform, as a hub for accelerating close firm-hospital communication") funded By the Ministry of Trade, Industry and Energy (MI, Korea) under Grant 10049743, and by the Basic Science Research Program through the NRF funded by the Ministry of Education under Grant 2015R1D1A1A02062380.
Publisher Copyright:
© 2015 IEEE.
PY - 2016/10
Y1 - 2016/10
N2 - Objective: An increase in intracranial pressure (ICP) is frequently observed in patients with severe traumatic brain injury (TBI). The information derived from the observation of temporal changes in the mean ICP is insufficient for assessment of the compensatory reserve of the injured brain. This assessment can be achieved via continuous morphological analysis of the pulse waveform of the ICP. Methods: Continuous arterial blood pressure (ABP) and ICP recordings from 292 TBI patients were analyzed. The algorithm extracted morphological landmarks (peaks, troughs, and flats) from the ICP. Among the extracted peaks, P1, P2, and P3 were assigned through peak clustering. The performance of the proposed method was validated through a comparison of the algorithm-defined peaks and those manually identified by experienced observers. Results: The proposed algorithm successfully identified the three distinguishing peaks of the ICP with satisfactory accuracy (95.3%, 87.8%, and 87.5% for P1, P2, and P3, respectively), even from minimally filtered raw signals. Conclusion: The algorithm extracted the morphological features from both ABP and ICP recordings with high accuracy. Significance: The ABP and ICP pulse waveforms can be simultaneously analyzed in real time using the proposed algorithm. The morphological features from these signals may aid the continuous care of patients with TBI.
AB - Objective: An increase in intracranial pressure (ICP) is frequently observed in patients with severe traumatic brain injury (TBI). The information derived from the observation of temporal changes in the mean ICP is insufficient for assessment of the compensatory reserve of the injured brain. This assessment can be achieved via continuous morphological analysis of the pulse waveform of the ICP. Methods: Continuous arterial blood pressure (ABP) and ICP recordings from 292 TBI patients were analyzed. The algorithm extracted morphological landmarks (peaks, troughs, and flats) from the ICP. Among the extracted peaks, P1, P2, and P3 were assigned through peak clustering. The performance of the proposed method was validated through a comparison of the algorithm-defined peaks and those manually identified by experienced observers. Results: The proposed algorithm successfully identified the three distinguishing peaks of the ICP with satisfactory accuracy (95.3%, 87.8%, and 87.5% for P1, P2, and P3, respectively), even from minimally filtered raw signals. Conclusion: The algorithm extracted the morphological features from both ABP and ICP recordings with high accuracy. Significance: The ABP and ICP pulse waveforms can be simultaneously analyzed in real time using the proposed algorithm. The morphological features from these signals may aid the continuous care of patients with TBI.
KW - Biomedical signal processing
KW - Intracranial pressure
KW - Pulse morphology
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=84990922537&partnerID=8YFLogxK
U2 - 10.1109/TBME.2015.2512278
DO - 10.1109/TBME.2015.2512278
M3 - Article
C2 - 26841386
AN - SCOPUS:84990922537
VL - 63
SP - 2169
EP - 2176
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 10
M1 - 7365433
ER -