CN-121971043-A - Diabetes foot necrosis tissue identification method and system based on piezoelectric ion sensing

CN121971043ACN 121971043 ACN121971043 ACN 121971043ACN-121971043-A

Abstract

The invention provides a method and a system for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing, and relates to biosensing and clinical detection. The method comprises the steps of obtaining an electric signal to be detected based on contact between a piezoelectric ion sensing probe and the surface of a target tissue of a diabetic foot, amplifying, filtering and carrying out analog-to-digital conversion to obtain a digital electric signal to be detected, comparing the digital electric signal to be detected with standard electric signals in a pre-constructed tissue electric signal database, identifying the tissue type through a pattern matching algorithm, determining the interface position of necrotic tissue and suspected necrotic tissue, outputting an identification result and generating a visual image. The invention obtains the electric signal to be detected based on the contact of the piezoelectric ion sensing probe and the surface of the target tissue of the diabetic foot, and identifies the tissue type through a pattern matching algorithm, thereby realizing noninvasive, accurate and rapid interface identification of the necrotic tissue of the diabetic foot and the suspected necrotic tissue. And further adopt piezoelectricity ionic material and zinc ion polymer compound sensing technology, further promote the accuracy of interface discernment.

Inventors

LI JINFU
WANG PENG
FAN YUEYING
YIN BIN
LUO ZHENG
MA PANQIN
WANG ZHAOXIANG
JIA CHIYU

Assignees

南华大学附属第一医院

Dates

Publication Date: 20260505
Application Date: 20260303

Claims (10)

1. The method for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing is characterized by comprising the following steps of: acquiring an electric signal to be detected within a preset response frequency range based on contact between the piezoelectric ion sensing probe and the surface of a target tissue of the diabetic foot; Amplifying, filtering and analog-to-digital converting the acquired electric signal to be detected to obtain a digital electric signal to be detected; Comparing the digitized electric signals to be detected with standard electric signals in a pre-constructed tissue electric signal database, identifying the tissue type through a pattern matching algorithm, and determining the interface position of necrotic tissue and suspected necrotic tissue; and outputting the identification result and generating a visual image.
2. The method for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing according to claim 1, wherein the tissue electric signal database stores the standard electric signals and characteristic parameters thereof of normal foot tissue, diabetic foot necrosis tissue and diabetic foot suspected necrosis tissue within a preset response frequency range, and the characteristic parameters of the standard electric signals have a one-to-one matching relationship with tissue types; the step of comparing the digitized electric signal to be detected with standard electric signals in a pre-constructed tissue electric signal database, identifying the tissue type through a pattern matching algorithm, and determining the interface position of the necrotic tissue and the suspected necrotic tissue comprises the following steps: extracting characteristic parameters of the digitized electric signal to be detected, wherein the characteristic parameters comprise peak amplitude, frequency distribution, rising edge time and ion mobility; And matching the digitized electric signal to be detected with the weave electric signal database by adopting a mode matching algorithm combining a support vector machine and a dynamic time warping algorithm to obtain a standard electric signal, carrying out similarity calculation on each extracted characteristic parameter and each characteristic parameter of the standard electric signal obtained by matching, taking the corresponding tissue type with the highest similarity as a recognition result, and determining the interface position of the necrotic tissue and the suspected necrotic tissue.
3. The method for identifying diabetic foot necrosis tissue based on piezoion sensing according to claim 2, wherein the similarity of the digital signal to be detected and the characteristic parameter of the standard electrical signal is calculated by means of weighted fusion of cosine similarity and euclidean distance.
4. The method for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing according to claim 1, further comprising adjusting a contact pressure of the piezoelectric ion sensing probe with a target tissue surface of the diabetic foot according to a tissue type and a position before the electric signal to be detected is acquired, wherein the contact pressure is adjusted to be 5-20kPa.
5. The method for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing according to claim 1 is characterized in that the visual image comprises a two-dimensional interface distribution map, a three-dimensional tissue type distinguishing map and an electrical signal characteristic curve comparison map, wherein the two-dimensional interface distribution map is used for intuitively marking boundary positions of necrotic tissue, suspected necrotic tissue and normal tissue, the three-dimensional tissue type distinguishing map is used for marking different tissue types by different colors and displaying tissue space distribution, and the electrical signal characteristic curve comparison map is used for displaying differences between an electrical signal to be detected and a standard electrical signal and supporting quantitative measurement of the interface positions.
6. A diabetic foot necrosis tissue recognition system based on piezoion sensing for performing the method of any of the above claims 1 to 5, comprising: The piezoelectric signal acquisition module is used for acquiring an electric signal to be detected in a preset response frequency range based on the contact of the piezoelectric ion sensing probe and the surface of the target tissue of the diabetic foot; The signal preprocessing module is used for amplifying, filtering and analog-to-digital converting the acquired electric signal to be detected to obtain a digital electric signal to be detected; the interface identification module is used for comparing the digitized electric signals to be detected with standard electric signals in a pre-constructed tissue electric signal database, identifying tissue types through a pattern matching algorithm, and determining the interface positions of necrotic tissues and suspected necrotic tissues; and the recognition result output display module is used for outputting the recognition result and generating a visual image.
7. The diabetic foot necrosis tissue identification system based on piezoelectric ion sensing of claim 6, wherein the piezoelectric ion sensing probe comprises a piezoelectric ion material layer, an electrode layer, a zinc-containing ion polymer sensitive layer and a packaging shell which are sequentially attached.
8. The diabetes foot necrosis tissue recognition system based on piezoelectric ion sensing according to claim 7, wherein a microarray bulge structure is arranged on the surface of the zinc-containing ion polymer sensitive layer and is used for being in contact with diabetes foot target tissues and generating ion migration and piezoelectric response signals, the response frequency range is 100-1000Hz, the electric signals to be detected are obtained, the piezoelectric ion material layer is made of barium titanate-potassium sodium niobate composite piezoelectric ceramic, the zinc-containing ion polymer sensitive layer is made of polyvinylidene fluoride-trifluoroethylene copolymer, zinc oxide nano particles and hydroxyethyl cellulose in a composite mode, the mass fraction of the polyvinylidene fluoride-trifluoroethylene copolymer is 83% -93%, the mass fraction of the zinc oxide nano particles is 5% -15%, the mass fraction of the hydroxyethyl cellulose is 2%, the electrode layer is made of platinum film electrodes and is symmetrically arranged between the piezoelectric ion material layer and the zinc-containing ion polymer sensitive layer and is used for collecting electric signals, and the packaging shell is made of medical-grade polycarbonate materials.
9. The piezoelectric ion sensing-based diabetic foot necrosis tissue identification system of claim 8, wherein the microarray protrusion structure has a height of 50-200 μm, a diameter of 100-300 μm, a center-to-center spacing of adjacent protrusions of 300-500 μm, and a protrusion surface provided with a nano-scale groove structure for increasing a contact area with tissue and improving ion conduction efficiency and contact compatibility.
10. The system for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing of claim 7, further comprising a pressure adjusting module for adjusting contact pressure of the piezoelectric ion sensing probe with the surface of the target tissue of the diabetic foot according to tissue type and position before acquiring the electric signal to be detected, wherein the contact pressure is adjusted to be 5-20kPa.

Description

Diabetes foot necrosis tissue identification method and system based on piezoelectric ion sensing Technical Field The invention relates to the technical field of biological sensing and clinical detection, in particular to a diabetic foot necrosis tissue identification method and system based on piezoelectric ion sensing. Background Diabetic foot is one of the most serious chronic complications of diabetes, and its core pathological features are vascular lesions, neuropathy and tissue ischemia and hypoxia caused by infection of foot, thereby inducing tissue necrosis. In clinical treatment, amputation is an important means for saving the life of a patient and controlling the spread of infection, but accurate interface identification of necrotic tissue and suspected necrotic tissue is always a clinical problem. Currently, the interface judgment of diabetic foot necrosis tissue mainly depends on the experience judgment of a clinician and auxiliary examination means. Experience judgment is based on the appearance characteristics of tissue such as color, texture, blood circulation condition and response to stimulus, but diabetic foot patients often accompany neuropathy and vascular malformation, and the accuracy of traditional appearance evaluation is only 60% -70%, which is easy to cause excessive amputation (normal tissue excision) or residual necrotic tissue (secondary infection is caused). This is usually minimized by means of auxiliary inspection. Auxiliary examination means include ultrasound examination, CT angiography, magnetic Resonance Imaging (MRI), pathological biopsy, etc. The ultrasonic examination is greatly influenced by the experience of operators, the resolution capability of the soft tissue necrosis boundary is limited, CT angiography is mainly used for evaluating vascular lesions and is difficult to directly reflect the tissue necrosis state, MRI can display soft tissue edema and necrosis range, but the examination time is long, the cost is high, a patient with a metal implant in the body cannot use the medical examination, pathological biopsy is invasive operation, the wound healing capability of a diabetic foot patient is poor, the biopsy is easy to aggravate infection risk, and real-time detection in operation cannot be realized. In recent years, the biosensing technology is preliminarily applied in the field of tissue identification, such as near infrared spectrum imaging, impedance spectrum analysis and other technologies, but special equipment for interface identification of diabetic foot necrosis tissue still has obvious defects that the near infrared spectrum technology is greatly influenced by tissue moisture and blood perfusion, the ischemic and anoxic state of the diabetic foot tissue is easy to cause detection errors, and the sensitivity of the traditional impedance spectrum technology is low, so that the suspected necrosis tissue and the normal tissue are difficult to distinguish. Therefore, a noninvasive, rapid and high-precision diabetic foot necrosis tissue interface identification system is developed, the interface judgment difficulty in clinical amputation treatment is solved, and the system has important clinical value and social significance. Disclosure of Invention The invention provides a method and a system for identifying diabetic foot necrosis tissue based on piezoelectric ion sensing, which are used for realizing noninvasive, accurate and real-time interface identification of the diabetic foot necrosis tissue and the suspected necrosis tissue based on a piezoelectric ion sensing probe and combining signal processing and a pattern matching identification algorithm, and aims to solve the clinical problem that the interface of the diabetic foot necrosis tissue and the suspected necrosis tissue is difficult to accurately judge and overcome the defects that the prior art relies on subjective experience, has low detection precision, has high risk of invasive operation, cannot be detected in real time and the like. In order to achieve the above purpose, the present invention provides the following technical solutions: The invention provides a diabetic foot necrosis tissue identification method based on piezoelectric ion sensing, which comprises the steps of obtaining an electric signal to be detected in a preset response frequency range based on contact between a piezoelectric ion sensing probe and the surface of a target tissue of the diabetic foot, amplifying, filtering and analog-to-digital converting the obtained electric signal to be detected to obtain a digital electric signal to be detected, comparing the digital electric signal to be detected with standard electric signals in a pre-built tissue electric signal database, identifying the tissue type through a pattern matching algorithm, determining the interface position of the necrotic tissue and suspected necrotic tissue, outputting an identification result and generating a visual image. The method realizes the necro