Abnormal electrode connection detecting method for impedance detection

Abstract

The invention discloses an abnormal electrode connection detecting method for impedance detection. The abnormal electrode connection detecting method includes utilizing acquired original data of an impedance imaging system to calculate relevancy of acquired data of various electrode channels, acquiring electrode variable coefficient according to the relevancy, and judging whether electrode connection is abnormal or poor in contact when variable coefficient of a certain electrode is larger than the set threshold value. The abnormal electrode connection detecting method is an automatic, quick and accurate electrode connection state detection method, and can provide reliable basis for clinical staff to adjust electrode connection in time and guarantee continuity and completeness of impedance image monitoring.

Description

technical field [0001] The invention belongs to the technical field of electrical impedance image monitoring, and relates to a method for detecting abnormal connection of electrodes used for electrical impedance detection. Background technique [0002] The electrical impedance image monitoring technology uses electrode arrays placed around the body surface to apply a safe current to the subject in real time, collect corresponding voltage data at the same time, and finally reconstruct the electrical impedance distribution or changes inside the human body through a certain imaging algorithm. image. Since the electrical impedance distribution or change is closely related to the physiological and pathological changes of the human body, the electrical impedance image monitoring technology has important clinical application value. [0003] However, in a complex clinical monitoring environment, the electrode system used by this technology to collect raw electrical impedance data i...

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Problems solved by technology

[0003] However, in a complex clinical monitoring environment, the electrode system used by this technology to collect raw electrical impedance data is often affected by various practical factors, including the instability of electrode performance during long-term monitoring, the treatment and nursing operations of clinical personnel, Patient sweating, hair growth, body movement disturbance, etc.

Generally speaking, the above factors may cause the electrode to fall off or have poor contact, which seriously affects the accuracy and precision of the original data of electrical impedance and imaging, and reduces the application level of electrical impedance image monitoring to a certain extent, which is not conducive to Clinical personnel make timely judgments on changes in patients' conditions

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