Use of carbon nanotube sensor for detecting postoperative abnormal respiratory waveforms.

ABSTRACT:

Background

This feasibility study aimed to detect respiratory waveforms from thoracic movements and evaluate if postoperative complications could be predicted using a carbon nanotube sensor.

Methods

Fifty patients who underwent lung resection for lung tumors were enrolled. The lung monitoring system of the carbon nanotube sensor was placed on bilateral chest walls across the 6^th-9^th ribs to measure chest wall motion. We examined the respiratory waveform in relation to surgical findings, postoperative course, and complications using Hilbert transform and Fast Fourier Transform (FFT).

Results

Of 50 patients (37 males, 13 females), 22 were included in the normal lung function group and 28 were included in the low lung function group. The respiratory

SUBMITTER: Kobayashi M 

PROVIDER: S-EPMC8182515 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature