A comparison of online methods for change point detection in ion-mobility spectrometry data

When on-site classification of volatile organic compounds (VOCs) is required, a portable ion mobility spectrometer (IMS) suitable choice. However, the IMS readings often show transient phases before they stabilize. Even so importance phase and features extracted from it has been highlighted in literature, not, to our knowledge, used for IMS-based far. This paper analyzes whether change point detection algorithms with low computational complexity can separate stable readings. The were tested on data different types mushrooms. All successfully detected switches phase. most accurate results provided by previously proposed multivariate max-CUSUM algorithm matrix form CUSUM algorithm, which developed this paper.