Method and system for monitoring body internal disorders by detecting and analyzing tissue frequency

Abstract

Methods of determining and treating disordered tissue in a patient excite energy signal generation from the disordered tissue. The energy sensor structure obtains an energy signal from tissue of a patient. In a processor circuit, the obtained energy signal is compared with a known energy signal of the same tissue under normal function. The tissue is identified as disordered tissue when the comparing step determines that the obtained energy signal differs from the known energy signal. The disordered tissue is localized within the patient by the energy signal. Body disorders caused by the positioned disordered tissue are diagnosed by the AI module. A body disorder is then treated.

Description

[0001] This application is a PCT application claiming priority to U.S. 17 / 667,695, filed on February 9, 2022, which is a partial continuation application of U.S. Patent No. 17 / 338,876, filed on June 4, 2021. Technical Field

[0002] The present invention relates to a system and method for monitoring internal body disorders by detecting and analyzing tissue frequencies, thereby providing information for treating body disorders. Background Art

[0003] Many physical diseases only present symptoms at their most severe. For example, many internal body disorders (such as endometriosis, intestinal obstruction, possible tumors, etc.) require the use of endoscopic or laparoscopic techniques to locate and diagnose the body disorder for subsequent treatment (e.g., by surgery). These techniques are invasive, expensive, and require the patient to be treated in a hospital or other medical institution.

[0004] Traditionally, early disease detection has been associated with the ability to often effect a cure and at least limit the progression of the disease to more severe complications that require invasive treatment. The ability to diagnose more subtle forms of the disease has distinct advantages.

[0005] Therefore, there is a need to provide a novel method and a home-based system for non-invasively identifying and determining the specific location and progression of internal body disorders by monitoring the specific frequencies generated by disordered tissues, analyzing the frequency data, and transmitting the analyzed data for treating the body disorder. Summary of the Invention

[0006] The object of the present invention is to meet the above-mentioned needs. According to the principles of this embodiment, this object is achieved by a method for identifying and treating disordered tissues in a patient's body, which generates an energy signal excitation from the disordered tissues. An energy detection sensor structure obtains the energy signal from the patient's tissue. In a processor circuit, the obtained energy signal is compared with the known energy signal of the same tissue in its normal function. When the comparison step determines that the obtained energy signal is different from the known energy signal, the tissue is identified as disordered tissue. The disordered tissue in the patient's body is located by the energy signal. The body disorder caused by the located disordered tissue is diagnosed by an artificial intelligence (AI) module. Then the body disorder is treated.

[0007] Other objects, features, and characteristics of the present invention, as well as the operating methods and functions of the related elements of the structure, the combination of components, and the economy of manufacture, will become more apparent upon consideration of the following detailed description and the appended claims in conjunction with the accompanying drawings, all of which form a part of this specification. Brief Description of the Drawings

[0008] The present invention can be better understood from the following detailed description of its preferred embodiments in conjunction with the accompanying drawings, in which the same reference numerals denote the same components, and wherein:

[0009] Figure 1 is a block diagram of a disordered tissue monitoring system according to a first embodiment of the present invention.

[0010] Figure 2 is a block diagram of a disordered tissue monitoring system according to a second embodiment of the present invention.

[0011] Figure 3 is a view of an embodiment of a system in which the electrodes are mounted on a patient's abdomen.

[0012] Figure 4 is Figure 1 a plan view of an electrode grid used in the system of

[0013] Figure 5 is Figure 1 a plan view of an electrode sliding structure in which the electrodes used in the system of

[0014] Figure 6 is a flowchart of the steps of a method of an embodiment.

[0015] Figure 7 is a plan view of a medical skin patch incorporating an integrated circuit including components of the system.

[0016] Figure 8 is a perspective view of another embodiment of a system provided in accordance with the principles of the present invention, showing electrodes inserted into the stomach and its treatment delivery structure engaged with disordered tissue of the stomach.

[0017] Figure 9 is associated with Figure 8 an enlarged side view of the distal end of an embodiment of the system of

[0018] Figure 10 is a flowchart of the steps of another method of this embodiment. Detailed Description of the Invention

[0019] Referring to Figure 1, shows an embodiment of a disordered tissue monitoring system for monitoring and diagnosing internal body disorders, generally designated 10. System 10 includes an energy detection sensor structure, preferably in the form of an electrode structure, which includes at least two (preferably three) electrodes 12, each electrode preferably being a silver-silver chloride electrode, connected to an instrumentation amplifier 14 through an electrode connector 13, and the instrumentation amplifier 14 provides a first gain stage for the electrode electrical signal 16. A filter structure 18 provides high-pass and low-pass filtering of the signal 16. The filter structure 18 can include analog (hardware) or digital (software) high-pass and low-pass filters, or a combination of analog and digital filters. The amplifier 14 and the filter structure 18 can be combined into a signal conditioner.

[0020] The electrical signal 16 is also transmitted to a 16-bit A / D converter 20. Then, the digitized electrode electrical signal 16', including the frequency signal and the intensity of the frequency signal, is transmitted to a transmitter 22, which wirelessly transmits data (e.g., signal 16') to an external portable handheld device 24 (e.g., a conventional smart phone, tablet computer, laptop computer) or a network 30. When transmitted to the portable device 24, the data is received by the receiver 28 of the portable device 24. In this embodiment, the electrodes 12 are provided outside a portable unit 25 that can be considered a substrate or housing. A power supply 26, such as a battery, powers the unit 25.

[0021] The portable device 24 can be regarded as a processing device that communicates wirelessly with the network 30 via a transmitter 32 of the portable device 24. The network 30 can include at least one of telecommunications networks such as computer networks (e.g., LAN or WAN), the Internet, cloud-based servers, and telephone networks.

[0022] The portable device 24 can include an application (APP) 40 executed by a microprocessor circuit 42, and the application 40 can analyze the raw data received from the transmitter 22 (e.g., the signal 16 including at least the frequency and intensity of the frequency data), and provide treatment data including the identification, severity, location, and progression of the patient's body disorder based on the raw data. The treatment data can be stored on the network 30, shared or retrieved via the network 30, or can be stored in the memory circuit 35 of the portable device 24. In addition, the portable device 24 can receive data from the network 30 via the receiver 28.

[0023] The transmitter 22 can be in the form of a transceiver to receive data from the portable device 24. For example, the portable device 24 can send a calibration signal 37 to the transceiver 22, and the calibration signal 37 can be received by the amplifier 14 for calibration purposes and determine whether the system 10 is operating within specifications.

[0024] Reference Figure 2, showing a second embodiment of a monitoring system for diagnosing internal body disorders, generally designated 10'. The system 10' includes an energy detection sensor structure in the form of a single sensor structure 11 (which may include at least two or more miniaturized electrodes), the energy detection sensor structure being disposed within a portable unit 25' and connected to a microprocessor circuit 44. The microprocessor circuit 44 is disposed within the unit 25' and is constructed and arranged to convert an analog electrical signal 16 into a digitized electrical signal 16' including a frequency signal and the intensity of the frequency signal. In this embodiment, the microprocessor circuit 44 may include an amplifier circuit 46 constructed and arranged to amplify the analog electrical signal 16, a filter circuit 48 constructed and arranged to filter the amplified analog electrical signal, and an A / D converter circuit 50 constructed and arranged to convert the amplified and filtered analog electrical signal into the digitized electrical signal 16'. The filter structure 48 preferably includes digital high-pass and low-pass filters, since digital filters can be much more precise than their analog counterparts and are not subject to the same effects of analog component tolerances, which can lead to sub-optimal performance from device to device and over time. Analog components can be manually sorted so as to use only ideal components, but this involves a significant cost, which would drive up the final price for the doctor, and these components are still subject to environmental stresses and the ravages of time that compromise their accuracy. The microprocessor circuit 44 includes an artificial intelligence (AI) module 49, which is configured to execute at least one algorithm 42 that can analyze raw data (e.g., a signal 16' including at least the frequency and intensity of frequency data) and provide treatment data including the identification, severity, location, and / or spread of a patient's body disorder based on the raw data. Based on the frequency and intensity data obtained by the energy-directed sensor structure (e.g., at least two electrodes), location and spread data can be obtained with the AI module 49 by employing conventional triangulation and / or trilateration techniques, as described further below.

[0025] The AI module 49 is preferably configured to provide a diagnosis of a suspected body disorder caused by disordered tissue. An initial (first-level) software analysis is performed by the AI module 49 using a 100% sensitivity labeling equation. Using the 100% sensitivity labeling equation, if a patient tests negative for a body disorder (e.g., endometriosis, as described below), then that patient is no longer considered to have a body disorder. If a patient passes the first-level analysis, then the programming in the AI module 49 transfers to the next memory level (second level), i.e., looking at different equations to determine there are no false negatives. If no false negatives are determined, then the patient is considered to have a body disorder (e.g., endometriosis).

[0026] The artificial intelligence module includes a third level of a more complex level, where the software is authorized to find answers not determined by the first and second level algorithms. The memory circuit 51 includes an additional database of information (such as patient age, symptoms) that the software can access. This information can include any information that plays a role in diagnosis or at least in the predictability of a physical disorder. Information considered to have a relatively high statistical level of predictability should be viewed in this third level program. Therefore, in this third level analysis, the AI module is configured to search for information in the memory circuit 51 to introduce the maximum number of variables (information) that result in the highest probability level of a positive diagnosis of a physical disorder.

[0027] It should be noted that there are other methods for predicting the presence of a suspected disease. One of these methods is to use a patient questionnaire. The AI module 49 can be configured to have a fourth level of analysis (self-aware AI). The programming in the AI module 49 can be configured to be able to ask additional questions to help confirm the diagnosis. For example, the AI module 49 can use a broad but subjective questionnaire to ask the patient (e.g., via the APP 40). Therefore, the programming in the AI module 49 can decide to include the probabilities of known questionnaire responses to achieve the maximum predictability of a physical disease. Since the system can be a wearable device interfaced with a server in the network 30 (see Figure 7 ), worldwide data from millions of patients can be collected every day. The AI module 49 can access and analyze worldwide data, and the programming in the AI module 409 is configured to "think freely" about the most important parameters and develop its own internal algorithms, so as to be able to develop its own hierarchy to maximize the diagnosis.

[0028] A transmitter 22 is provided in the unit 25', and the transmitter 22 is constructed and arranged to wirelessly transmit the above-mentioned treatment data to the portable device 24 and / or the network 30. A power supply 26 is provided to power the device 10'.

[0029] The gain in the preferred embodiments of the systems 10, 10' is fixed and set according to the usually expected maximum peak-to-peak signal 16. The 16-bit A / D converters 20, 50 provide sufficient resolution to adequately process low-level signals. For example, if the electrodes 12 are placed to directly contact the skin surface, the stomach, or other adipose tissues, low-level signals can be recorded from a person with a large amount of adipose tissue sandwiched between the electrodes 12. Of course, the gain can be controlled by analog control or digital control at an additional cost.

[0030] Data communication using the wireless transmitter 22 with the portable device 24 and / or the network or computer 30 eliminates the need for bulky cables and complex interfaces, both of which have a significant likelihood of intermittent or overall failure, thus reducing system performance. The acquired treatment data can be wirelessly transmitted to the network 30 or the portable device 24 via, for example, cellular signals, or WIFI. Each of the memory circuits 35 or 51 provides sufficient on-board memory to store the data value of an entire examination for subsequent transmission to the network 30.

[0031] The applicant has determined that when there is an internal disorder in the body, compared with normal tissues, the nerves of the tissues causing the disorder release specific energy (e.g., frequency) and define the "fingerprint" of a specific tissue disorder. The normal functions of tissues and processes in the human body are related to organs. Special tissues and cells acting as controllers are the so-called managers of internal control or balance. The detection of the normal tissue frequency representing normal balance is valuable for determining the difference between health and disease. When a disease occurs, it causes a disorder of the normal controller or homeostasis, which is regarded as a change in energy or energy pattern and is representative of potential diseases and symptoms. Therefore, the disordered tissue can be abnormal tissue or diseased tissue.

[0032] For example, endometriosis is a disease in which tissue detaches from the uterus, causing neurological problems and pain. The applicant has determined that when detecting endometriosis, it is not directly detecting endometriosis tissue. However, the effect of endometriosis tissue on the body's energy can be felt. Endometriosis tissue secretes neurotransmitters that increase the contraction frequency of the small intestine. Normally, the frequency range of energy released by the uterus is 1 - 3 cpm, except during menstruation, when the frequency range is 4 - 8 cpm. The energy effect of the escaped (disordered or abnormal) tissue has been identified as detectable in the frequency range of 12 - 60 cycles per minute (cpm), and more specifically, at the frequency range of 12 - 22 cpm, it is detectable near the proximal duodenum, and at the frequency range of 30 - 60 cpm, it is detectable near the distal duodenum.

[0033] As another example, the normal state of the intestine releases energy in the frequency range of 3 - 15 cpm, depending on the location in the intestine. Intestinal spasms or obstructions caused by scar tissue (disordered or abnormal tissue) have been identified as detectable in the frequency range of 180 - 200 cpm near the distal ileum and in the frequency range of 50 - 70 cpm near the small intestine. In another example, urethral disorders can be detected. The normal frequency of urethral tissue urination is 7 cpm. The applicant has determined that a frequency of at least 18 cpm and above indicates a disorder or abnormality of the urethral tissue. Therefore, the energy detection sensor structure

[0034] Accordingly, the filter structures 18, 48 of systems 10 and 10' can be configured to detect known frequency ranges to define the "fingerprint" of any bodily disorder.

[0035] To detect endometriosis, filter structures 18, 48 with high-pass and low-pass filters are selected to allow detection of frequencies in the range of 12 to 60 cpm. To detect intestinal obstruction, filter structures 18, 48 with high-pass and low-pass filters are selected to allow detection of frequencies in the range of 180 to 200 cpm or 50 to 70 cpm, depending on the location of the detection. To detect urinary tract disorders, filter structures 18, 48 with high-pass and low-pass filters are selected to allow detection of frequencies in the range of 15 to 25 cpm. These filters are typically second-order, but higher-order digital filters can be implemented. An optional second digital filter can be implemented in software (computer-readable medium) for high-pass and / or low-pass functions to achieve the desired band-pass filtering of signal 16' before software analysis. This approach also provides the system with greater flexibility to change the specific frequency ranges in the digital filter to focus on specific bodily disorders.

[0036] Since systems 10, 10' can be used to locate any internal bodily disorder that causes an energy "fingerprint", the preferred electrodes 12 or sensor structures 11: 1) are capable of sensing a large area of the body part, 2) can be moved relative to each other and the patient tissue they are to contact or approach, or 3) are fixed on a grid that can be moved relative to the patient tissue they are to contact or approach.

[0037] Reference Figure 3 , the illustrated systems 10, 10' employ an energy detection sensor structure in the form of a plurality of electrodes 12 (preferably at least three) mounted on the body surface of the patient P in contact with or close to. Each electrode 12 has a sensing area S to define an overall sensing area (cross-hatched at A). The sensing areas S overlap at the double-cross-hatched area O such that the AI module 49 of the microprocessor circuit 42 or 44 can employ triangulation and / or trilateration of the electrode signals when obtaining the strongest frequency signal (signal strength) to determine the severity, location, and / or spread (movement or change) of the disordered tissue in three dimensions based on at least two, but preferably at least three, electrodes 12. If the electrodes 12 are located outside the unit 25, the electrical connection 41 of each electrode 12 can be connected to the electrode connector 13 of the unit 25 ( Figure 1 ). The electrodes 12 are preferably disposable. Although multiple overlapping detection fields are disclosed, it can be understood that a single sensor structure or electrode with a wide sensing field placed on or close to the body surface can be provided instead of multiple electrodes. Additionally, such a single wide sensing field sensor or electrode can be implanted under the skin.

[0038] In another embodiment, referring to Figure 4 , the energy detection sensor structure is in the form of an electrode array structure, generally designated as 52, and includes a plurality of electrodes 12' (preferably at least three electrodes 12'), provided in the form of an array or grid fixed to a flexible substrate 54. A single connector 56 can be connected to the electrode connector 13 of unit 25 ( Figure 1 ). The electrode array structure 52 can be placed on the patient's body and can be moved to different positions so that the AI module 49 of the microprocessor circuit 42 or 44 can employ triangulation and / or trilateration of the electrode signals when obtaining the strongest frequency signal (signal strength) to determine the severity, location, and propagation (movement or change) of the disordered tissue in three dimensions based on at least two, but preferably at least three, electrodes 12'. Alternatively, the electrode array structure 52 can be placed in a vest worn by the patient such that the electrodes 12' are very close to the patient's skin, and the vest is movable so that the AI module 49 of the microprocessor circuit 42 or 44 can employ triangulation and / or trilateration of the electrode signals when obtaining the strongest frequency signal (signal strength) to determine the severity, location, and propagation (movement) of the disordered tissue in three dimensions based on at least two, but preferably at least three, electrodes 12'. The electrode array structure 52 is preferably disposable.

[0039] Alternatively, instead of fixing the electrodes to a flexible substrate, referring to Figure 5 , an electrode sliding structure is shown, generally designated as 58, which includes a flexible substrate 60 having a plurality of spaced horizontal slots 62 and a plurality of spaced vertical slots 64. A plurality of electrodes 12'' (preferably at least three electrodes 12'') are provided, each electrode having a base 66 that frictionally engages with respect to the slots 62, 64 so that the electrodes can move horizontally and vertically with respect to the substrate 60. The electrical connection 68 of the electrodes 12'' can be connected to the electrode connector 13 of unit 25 ( Figure 1 ). Thus, the electrode sliding structure 58 can be placed on the patient's body and can be moved to different positions on the body, and the electrodes 12'' can slide or move to different positions on the substrate 60 so that the AI module 49 of the microprocessor circuit 42 or 44 can employ triangulation and / or trilateration of the electrode signals when obtaining the strongest frequency signal (signal strength) to determine the severity, location, and propagation (movement or change) of the disordered tissue in three dimensions based on at least two, but preferably at least three, electrodes 12'. For example, referring to Figure 3When the disordered tissue is partially located in more than one electrode sensing area S, trilateration is used and the position T of the disordered tissue is at the intersection of the perimeters of the three electrode areas S. If the three perimeters (circles) do not intersect at a single point, then a position area will be obtained. When the disordered tissue falls within the sensing area S of only one electrode, triangulation can be used.

[0040] Alternatively, the electrode sliding structure 58 can be placed in a vest worn by the patient, bringing the electrode 12" very close to the patient's skin. The vest can be moved to different positions on the body, and the electrode 12" can be slid or moved to different positions on the substrate 60, such that the AI module 49 of the microprocessor circuit 42 or 44 employs triangulation and / or trilateration of the electrode signals when obtaining the strongest frequency signal (signal strength) to determine, in three dimensions, the severity, location, and propagation (movement or change) of the disordered tissue based on at least two, but preferably at least three, electrodes 12'. The electrode sliding structure 58 is preferably disposable.

[0041] The energy detection sensor structures 11, 12, 12', 12" can detect the frequency, frequency intensity, and source direction of the frequency signal of the disordered tissue or other tissues affected by the disordered tissue. By using triangulation and / or trilateration as described above, treatment data including the severity, location, and propagation of the disordered tissue can be identified. Precise positioning is not required. Thus, if the frequency of the tissue being monitored is within the "fingerprint" range caused by a specific disordered tissue, treatment data regarding the disordered tissue is obtained. Additionally, the location of the disordered tissue and other characteristics such as propagation can be determined by the systems 10, 10', enabling treatment to be achieved without the need for further invasive endoscopic or laparoscopic positioning procedures. For example, as described above, intestinal obstruction can be detected based on a certain disordered frequency of the intestinal tissue or other tissues affected by the disordered intestinal tissue as compared to the normal frequency. If the intensity (strength) of the frequency signal (e.g., caused by muscle contact) remains constant within a defined area, this will indicate the static position of the obstruction. However, if the intensity of the detected frequency signal increases over a distance and then decreases, the propagation (change and severity or extent) of the obstruction (disordered tissue) is determined. For example, the physical disorder of endometriosis may change during a female's menstrual cycle, the associated enteric nervous system spasms may also change, or the intestinal obstruction may change position or involve variable parts of the gastrointestinal system. When the intestinal obstruction is fixed or stationary, the propagation is zero. The AI module 49 can obtain the amount of time it takes for the frequency signal to move from one position to a second position along the disordered tissue and the distance between the two positions and use this to determine the propagation and / or location of the disordered tissue or obstruction or disorder. Thus, the systems 10, 10" can determine the focus of the disordered tissue as well as the extent of the disordered tissue, e.g., upstream, downstream, or at a position different from the focus.

[0042] It should be noted that the units 25, 25' (e.g., an energy detection sensor structure such as at least two electrodes, an amplifier, a filter structure, an A / D converter, a microprocessor circuit, and a transmitter) can be miniaturized into a single integrated circuit with a micro power supply for easy portable, flexible wearing, and disposable use. Thus, a housing may not be required, or the flexible substrate of the integrated circuit can be considered as the housing. To improve wearability, whether miniaturized or not, the units 25, 25' are preferably flexible and sweat- or water-proof. For example, referring to Figure 7 , if the general mounting positions on the body are known, the integrated circuits 25, 25' can be configured as a medical skin patch 78 or a pad that can replace an adhesive bandage for adhesion and wearing on the user's skin. The skin patch 78 can have a portion 80 covering the integrated circuit and can include a mounting portion 82, the underside of which can be adhered to the skin. Alternatively, the integrated circuit can be mounted on the body using a self-adhesive bandage (e.g., wrapped around the abdomen) or can be incorporated into a belt to be able to move to different positions on the body and be reinstalled when needed. Thus, when worn by a patient, the units 25, 25' can obtain data over a period of time and transmit the data through the network 30.

[0043] Once the systems 10, 10' obtain the treatment data, the systems 10, 10' can notify the user to initiate the treatment. For example, it can be directly through the use of signals from those included in the unit 25' ( Figure 2) The energy of the treatment delivery structure 53 (e.g., electromagnetic frequency (EMF) or electrical stimulation or shock treatment) modulates the disordered tissue for treatment. The treatment delivery structure 53 can be of the type disclosed in U.S. Patent Application Publication No. 20170332961A1, the content of which is incorporated herein by reference. The treatment delivery structure 53 can be separate from and outside the unit 25' (e.g., drug or hormone), and can be implanted or disposed on the patient's body, and can communicate wirelessly with the network 30 or the portable device 24. A drug or hormone can be directly delivered to the disordered tissue or the tissue near the disordered tissue to treat the physical disorder associated with the disordered tissue. Thus, the treatment of the disordered tissue can be carried out directly or indirectly on the disordered tissue. The microprocessor circuit 42 or 44 can send a signal to the treatment delivery structure 53 to deliver the treatment. Alternatively, the treatment can be the surgical removal of the disordered tissue. If drug or hormone treatment is employed, preferably with the authorization of a doctor, the treatment delivery structure 53 disposed on or implanted in the patient can deliver the drug or hormone to the disordered tissue or the nearby tissue as needed by being controlled by the APP on the portable device 24 to calm the disordered tissue, rather than delivering EMF or electrical stimulation or shock. For example, if the systems 10, 10' detect abnormal peristalsis of the gastrointestinal tract, the treatment delivery structure 53 can deliver a treatment (drug, EMF, etc.) to accelerate peristalsis, slow down or even stop peristalsis. Alternatively, if the unit 25' is in the form of an integrated circuit on a medical skin patch 78, the treatment delivery structure 53 can be the patch itself, such that the drug or hormone can be delivered transdermally through the patch, or the patch 78 can wirelessly transmit instructions to a different skin patch (not shown) that delivers the treatment. The unit 25' can also have an input button for initiating control.

[0044] The treatment data obtained or received by the portable device 24 or the computer 30 can include color-coded data. For example, different frequencies can be assigned different colors. For example, the frequency indicating abnormal tissue can be color-coded as red, while other normal frequencies can be blue. The intensity of the frequency signal can also be displayed along with the data.

[0045] Thus, by employing the algorithm outlined above, referring to Figure 6, A method for monitoring disordered tissues in a patient includes, in step 70, identifying a frequency range associated with a specific disordered tissue of the patient (e.g., based on the "fingerprint" mentioned above), which frequency range is outside the frequency range of the associated normal tissue. In step 72, the energy detection sensor structures 11, 12, 12', 12'' are placed on or near the patient's body tissue. In step 74, an excitation energy signal is generated, for example, by using a water load test or any number of other methods that cause stimulation of the disordered tissue, such that the disordered tissue emits a detectable "abnormal" frequency or energy signal. The water load test is routine and requires the patient to consume a certain amount of water into the stomach. In step 76, frequency data and frequency intensity of the disordered tissue are obtained through the energy detection sensor structure. In step 78, the microprocessors 42, 44 analyze the frequency data to determine whether it is within the identified frequency range associated with the specific disordered tissue of the patient. If so, the AI module 49 of the microprocessors 42, 44 determines the specific location of the disordered tissue within the patient's body by trilateration. In step 79, the frequency data and location data are optionally transmitted to another device. Although as described above, the transmission of data is preferably performed wirelessly, within the scope of consideration of this embodiment, the transmission may include transmitting data in a wired manner. As described above, the AI module 49 is configured to determine a diagnosis of the physical condition caused by the disordered tissue. Once it is known that the patient has a physical disorder caused by the disordered tissue, treatment can be performed, for example, by regulating the disordered tissue with EMF, performing surgery, or delivering drugs or hormones to the patient. Therefore, personalized treatment depending on the generated signal can be performed. Thus, the same systems 10, 10' that are capable of detecting abnormal signals of disordered tissues can guide therapy or treatment via another separate device (not shown) or via the same system 10' (see Figure 2 , via the treatment delivery structure 53).

[0046] After the treatment process, the systems 10, 10' can be used again immediately, after a delay period, or after a longer period, to determine whether the sensed frequency at the location where the disordered tissue was previously identified has changed.

[0047] Although embodiments of endometriosis and intestinal obstruction have been disclosed, the systems 10, 10' can be configured to locate any internal body disorder by ensuring detection of an appropriate frequency range as long as the disorder emits the above-mentioned energy "fingerprint". For example, but not limited to, when the energy obtained from a suspected diseased organ / tissue is different from the known energy of the organ / tissue in a normal functional state, the systems 10, 10' and methods herein can identify the following organs / tissues associated with the disease state by identifying the disease state:

[0048] Ureter, normal condition = 1 - 4 cpm

[0049] Disease states: obstruction, stones, cancer

[0050] Bladder, normal = 2 - 4 cpm

[0051] Disease states:

[0052] Cystitis caused by infection, autoimmunity or other reasons

[0053] Bladder spasm

[0054] Autoimmune diseases such as cancer, infiltrative diseases

[0055] Obstruction such as kidney stones

[0056] Fallopian tube, normal = 1 - 4 cpm, except during ovulation, which is 8 - 12 cpm

[0057] The frequency is related to the menstrual cycle and can predict the optimal time for ovulation and fertility

[0058] Disease states:

[0059] Obstruction, tubal pregnancy

[0060] Uterus, normal = 1 - 3 cpm, except during menstruation, which is 4 - 8 cpm

[0061] Disease states:

[0062] Adenomyosis, tumors

[0063] Movement disorders affecting fertility

[0064] Biliary system, normal = 1 - 2 cpm

[0065] Disease states:

[0066] Stones, strictures, tumors, obstruction

[0067] Abnormal frequencies in the range of 12 - 18 cpm

[0068] Large and small intestines, normal = 3 - 15 cpm, depending on the location in the intestine

[0069] Disease states:

[0070] Inflammatory bowel disease and obstruction or altered contractility.

[0071] Drugs are used to control these diseases, but it is usually not possible to determine whether they are effective. The return of the sensed normal steady-state frequency can be used to show a normal return, thus avoiding invasive tests.

[0072] Stomach, normal = 3 cpm

[0073] Disease state: ulcer

[0074] Aorta and other large blood vessels

[0075] Disease state:

[0076] Aneurysm

[0077] Occlusion

[0078] Systems 10, 10' are configured for external use by researchers. However, devices such as the catheter structure disclosed in U.S. Patent No. 8,753,340, the content of which is incorporated herein by reference, can be modified to use their electrodes to sense the effects of internal body tissue disorders and / or can deliver treatment to internal disordered tissue. Thus, referring Figure 8 , in another embodiment, a system 10''' in the form of a catheter structure is shown inserted via an endoscope 84, etc. into tissue in a human organ 86 (such as the stomach, uterus, intestine, or other internal organs or human systems described above). The system 10''' includes an elongated tube structure 88 having a distal end 90 and a proximal end 92. Thus, the system 10''' having the tube structure 88 can be inserted into any body orifice to access and treat disordered tissue. An energy detection sensor structure, preferably three electrodes 12''', is associated with the distal end 90 of the tube structure 88 so as to preferably move from a substantially retracted position relative to the distal end 90 of the tube structure 88 to an operating position extending directly from the distal end 90. Signal wires 94 are associated with each electrode 12''' for obtaining signals from the electrodes, which will be more fully explained below. The wires 94 extend within the tube structure 88 to its proximal end 94.

[0079] A treatment delivery structure 96 separated from the electrodes 12''' is also provided in the tube structure 88. When inserted into the human organ 86, the electrodes 12''' and the treatment delivery structure 96 are in an inserted position. More specifically, the electrodes 12''' and the treatment delivery structure 96 are retracted, disposed near the distal end 90, and preferably inside the tube structure 88. The electrodes 12''' and the treatment delivery structure 96 are delivered via the tube structure 88 through the biopsy channel of a standard endoscope 84. In the illustrated embodiment, three electrodes 12''' are provided, one for the positive signal, one for the negative signal, and one for ground.

[0080] In one embodiment, actuation structures 98, 100 are provided to move the electrodes 12''' and the treatment delivery structure 96 between a retracted and an extended position. In this embodiment, the actuation structure can be, for example, one or more wires 98 operably associated with the electrodes 12''', and the electrodes 12''' can be manually moved individually or together at the proximal end of the tube structure 88. For example, Figure 1Shows a single plunger 100 coupled to a wire 98. The movement of the plunger 100 preferably extends and retracts the electrode 12''' in a consistent manner. Alternatively, referring to Figure 9 , instead of retracting and repositioning the electrode 12''' to search for disordered tissue such as ulcer 102, the system 10''' can include a plurality of lumens 104 within a tube structure 88. Each lumen 104 contains a different electrode 12''', such that each electrode 12''' can be individually oriented in a different direction to expand the diagnostic tracking location and allow for multiple treatment and sensing sites. In Figure 9 's embodiment, the electrodes can be retractable to facilitate insertion of the system 10''' into / removal from the disordered tissue site.

[0081] Returning to Figure 8 , the system 10''' includes Figure 2 's processor circuit 44, memory circuit 51, and transmitter 22. Thus, the processor circuit 44 includes a filter 48 with appropriate signal filtering for sensing the frequencies associated with the target disordered tissue. The microprocessor circuit 44 includes an artificial intelligence (AI) module 49 ( Figure 2 ), which is configured to execute at least one algorithm that can analyze the raw data (e.g., signals such as frequencies and intensities of frequency data) and provide treatment data including the identification, severity, location, and / or spread of the patient's body disorder based on the raw data, as described above. For treatments that involve electrical stimulation of tissue, an energy source 106 is provided, preferably electrical energy, and the treatment delivery structure 96 includes electrodes 108 ( Figure 9 ) to engage the disordered tissue 102 and provide electrical stimulation thereto. Without providing electrical stimulation, the treatment delivery structure 96 can be configured to deliver drugs, hormones, synthetic materials, cells, tissue / bioengineered tissue, and / or chemicals to the disordered tissue 102.

[0082] For treatments that involve electrical stimulation of tissue, an energy source 106 is provided, preferably electrical energy, and the treatment delivery structure 96 includes electrodes 108 ( Figure 9 ), to engage the disordered tissue 102 and provide electrical stimulation thereto. Without providing electrical stimulation, the treatment delivery structure 96 can be configured to deliver drugs, hormones, synthetic materials, cells, tissue / bioengineered tissue, and / or chemicals to the disordered tissue 102.

[0083] Although electrodes for sensing normal tissue energy and energy changes due to tissue disorders have been disclosed, other energy sensing devices can also be employed. For example, an energy sensor structure capable of detecting changes in electromagnetic energy in tissue can be used.

[0084] Referring to Figure 10, a method for determining and treating disordered tissue in a patient is disclosed. In step 110, energy signal generation is stimulated from the disordered tissue (e.g., by water loading). In step 112, an energy detection sensor structure (e.g., 11, 12, 12’, 12”) is used to obtain an energy signal from the patient's tissue. In step 114, the obtained energy signal is compared in the processor circuit 44 with a known energy signal of the same tissue in the normal function of the tissue. In step 116, when the comparison step determines that the obtained energy signal is different from the known energy signal, the tissue is identified as disordered tissue. In step 118, the disordered tissue in the patient's body is located by the energy signal (e.g., by triangulation / trilateration as described above). In step 120, the physical disorder caused by the located disordered tissue is diagnosed (by the AI module 49). In step 122, the physical disorder is then treated.

[0085] The operations and algorithms described herein can be implemented as executable code within the described microprocessor circuits 42, 44, or stored on a separate computer or machine-readable non-transitory tangible storage medium, which is based on the execution of the code by a processor circuit implemented using one or more integrated circuits. Example embodiments of the disclosed circuits include hardware logic implemented in a logic array (such as a programmable logic array (PLA), a field programmable gate array (FPGA)), or implemented by mask programming of an integrated circuit such as an application specific integrated circuit (ASIC). Any of these circuits can also be implemented using software-based executable resources, which are executed by a corresponding internal processor circuit such as a microprocessor circuit and implemented using one or more integrated circuits, where the execution of the executable code stored in the internal memory circuit causes the integrated circuit implementing the processor circuit to store application state variables in the processor memory, thereby creating executable application resources (e.g., application instances) for performing the circuit operations described herein. Thus, the term “circuit” as used in this specification refers to a hardware-based circuit implemented using one or more integrated circuits and including logic for performing the operations, or a software-based circuit including a processor circuit (implemented using one or more integrated circuits), which includes a reserved portion of the processor memory for storing application state data and application variables modified by the execution of the executable code by the processor circuit. For example, the memory circuits 35, 51 can be implemented using non-volatile memories such as programmable read-only memories (PROM) or EPROMs and / or volatile memories such as DRAMs.

[0086] For the purpose of illustrating the structure and functional principles of the present invention and the method of using the preferred embodiments, the foregoing preferred embodiments have been shown and described, and changes may be made thereto without departing from these principles. Accordingly, the present invention includes all modifications that fall within the spirit of the following claims.

Claims

1. A method for identifying and treating a disordered tissue in a patient, the method comprising the steps of: Stimulating the generation of an energy signal from the disordered tissue, Obtaining an energy signal from the patient's tissue using an energy detection sensor structure, In a processor circuit, comparing the obtained energy signal with a known energy signal of the same tissue in the patient under normal function, When the comparison step determines that the obtained energy signal is different from the known energy signal, identifying the tissue as a disordered tissue, Locating the disordered tissue in the patient's body through the energy signal, Diagnosing a bodily disorder caused by the located disordered tissue through an artificial intelligence (AI) module, and Treating the bodily disorder.

2. The method according to claim 1, wherein The treatment step includes treating the disordered tissue or the tissue affected by the disordered tissue using surgery, EMF, electrostimulation therapy, drugs, hormones, synthetic materials, cells, tissues, bioengineered tissues, or chemicals.

3. The method according to claim 1, wherein The energy detection sensor structure and the processor circuit are part of a single wearable unit, the single unit further including a transmitter, and the method further includes: Transmitting an instruction to a separate device through the transmitter, the separate device performing the treatment step.

4. The method according to claim 1, wherein The energy detection sensor structure and the processor circuit are part of a single wearable unit, the single unit further including a treatment delivery structure, the treatment delivery structure being configured and arranged to perform the treatment step.

5. The method according to claim 1, wherein The energy detection sensor structure is used outside the patient's body.

6. The method according to claim 5, wherein, The energy detection sensor structure is movably received in a tube structure, and the method further includes inserting the tube structure through a body orifice and moving the energy sensor structure to extend from the distal end of the tube structure to an operating position to obtain the energy signal from the patient's tissue.

7. The method according to claim 6, wherein, The treatment step includes delivering treatment through the distal end of the tube structure while the tube structure remains in the body orifice.

8. The method according to claim 1, wherein The energy detection sensor structure is used inside the patient's body.

9. The method according to claim 1, wherein, The disordered tissue is associated with endometriosis, the known energy signal is a frequency signal less than 8 cpm, and the obtained energy signal is a frequency signal in the range of 12 - 60 cpm.

10. The method according to claim 1, wherein, The disordered tissue is a tissue causing intestinal spasm or obstruction, the known energy signal is a frequency signal in the range of 3 - 15 cpm, and the obtained energy signal is a frequency signal in the range of 50 - 7 cpm or 180 - 200 cpm.

11. The method according to claim 1, wherein, The locating step is performed by the AI module using triangulation and / or trilateration.

12. The method according to claim 1, further comprising: Determining the spread of the disordered tissue in the body through the AI module.

13. The method according to claim 1, wherein The energy detection sensor structure employed includes a plurality of electrodes.

14. The method according to claim 1, wherein, The stimulating step includes causing the patient to consume a water load.

15. The method according to claim 1, wherein, The diagnosing step includes using the artificial intelligence (AI) module to determine whether the patient tests negative for the bodily disorder and being configured to determine false negatives.

16. The method according to claim 15, further comprising a memory circuit for storing data related to specific patient information, wherein, The AI module is further configured to search a memory circuit and use the patient information to determine a probability level of a positive diagnosis of the bodily disorder.

17. The method according to claim 1, wherein, The diagnostic steps include using the artificial intelligence (AI) module connected to the network, and the AI module is configured to access and analyze data collected from other patients through the network for diagnosis.

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