Advanced therapy machine and a method of use thereof

Abstract

The advanced therapy machine comprises a therapy signal generator that emits programmable therapeutic frequencies, tailored to individual patient needs. The user interface facilitates the selection and customization of therapy programs, making the device accessible and user-friendly. This machine also includes a signal application mechanism connected to the therapy signal generator, efficiently administering therapeutic frequencies to the patient. A data repository stores a diverse array of therapy programs and patient response data, supporting a wide range of treatment options. The integrated feedback system monitors patient responses in real-time, allowing for immediate adjustment of therapy parameters. Central to the machine's functionality is the central processing unit, which coordinates all components. It processes selections from the user interface, retrieves therapy programs from the data repository, sends commands to the therapy signal generator, receives feedback data, and displays real-time operational status and session data, ensuring an adaptive and responsive treatment experience.

Description

ADVANCED THERAPY MACHINE AND A METHOD OF USE THEREOFFIELD OF THE INVENTION

[0001] Embodiments of the present invention generally the field of medical devices and more specifically to an advanced therapy machine and a method of use thereof, that utilizes customizable therapeutic frequencies for treatment.BACKGROUND OF THE INVENTION

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of it being mentioned in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.

[0003] Conventional therapeutic devices and methods often present limitations in addressing complex health conditions that require personalized treatment. Standard machines emit frequencies in a narrow range that may not cater to the unique physiological characteristics and health needs of individual patients. Furthermore, existing systems lack the capability to integrate and analyze patient-specific data in real time to dynamically adjust therapy parameters, which is critical for effective treatment.

[0004] Patients suffering from a multitude of ailments require a therapy system that not only addresses their symptoms but also the underlying causes of their conditions. The reliance on manual adjustments and the absence of a sophisticated feedback mechanism in current therapeutic machines restrict the efficacy and responsiveness of treatments.

[0005] Additionally, traditional therapy devices do not leverage the advancements in artificial intelligence and machine learning to optimize therapy protocols, nor do they efficiently integrate patient feedback into the therapeutic process. This results in a one-size-fits-all approach that fails to harness the potential of tailored therapy programs.

[0006] There exists, therefore, a significant need for an advanced therapy machine and a method of use thereof, that overcomes the aforementioned limitations. It is desirable to have a machine that can emit a wide range of therapeutic frequencies, intelligently adjust to patient responses, and personalize treatment plans based on a comprehensive analysis of patient data.SUMMARY OF THE INVENTION

[0007] According to a first aspect of the present invention, there is provided an advanced therapy machine comprising a therapy signal generator for emitting programmable therapeutic frequencies; a user interface enabling selection and customization of therapy programs based on patient- specific parameters; a signal application mechanism connected with the therapy signal generator, configured to administer therapeutic frequencies to a patient efficiently; a data repository storing diverse therapy programs and patient response data; an integrated feedback system for real-time monitoring and adjustment of therapy parameters; and a central processing unit connected with the therapy signal generator, the user interface, the data repository and the integrated feedback system. Herein the central processing unit is configured to receive a selection of a therapy program from the user interface and retrieve the selected therapy program from the data repository; send operational commands to the therapy signal generator for the emission of specific therapeutic frequencies associated with the selected therapy program for the patient to receive through the signal application mechanism; receive patient response data from the integrated feedback system; analyze data received from the integrated feedback system to determine required adjustments in therapy parameters and send corresponding adjustment commands to the therapy signal generator and the signal application mechanism; and display realtime operational status and therapy session data on the user interface for user monitoring and interaction.

[0008] In accordance with an embodiment of the present invention, the therapy signal generator is configured to operate across a frequency range of 1 Hz to 100 GHz, and includes a mixing function that combines the input signal from the patient's symptoms; the frequency of substances related to the patient, which include organic substances, elements from the periodic table, or third- party therapy signals; and predefined treatment frequencies from the custom programs to produce a stronger and directed therapeutic output.

[0009] In accordance with an embodiment of the present invention, the user interface includes display means as well as input means facilitating intuitive interaction and program customization; wherein the user interface is configured to receive patient input and substance frequency data; enable the user to select and customize therapy programs that mix the patient's symptom frequencies with the substance frequencies; allow manual adjustments in therapy parameters based on the mixed signal analysis; and send corresponding adjustment commands to the therapy signal generator and the signal application mechanism.

[0010] In accordance with an embodiment of the present invention, the signal application mechanism comprises one or more of multi-functional electrodes, tensor devices, and a magnetic mattress to transmit selected frequencies suitable for all kinds of patient anatomies. Furthermore,the signal application mechanism is further configured to apply the mixed therapeutic signals produced by the therapy signal generator.

[0011] In accordance with an embodiment of the present invention, the data repository is capable of both cloud-connectivity for remote access and updates, and local storage for immediate data access. Also, the data repository further includes a database of recorded substance frequencies which can be mixed with patient symptom frequencies by the therapy signal generator.

[0012] In accordance with an embodiment of the present invention, the feedback system employs advanced sensors to gauge patient responses to the mixed therapeutic signals and adjust therapy settings accordingly. Besides, the sensors are selected from biometric sensors, thermal sensors, and impedance analyzers, which feed data back to the central processing unit for real-time analysis and signal mixing adjustments.

[0013] In accordance with an embodiment of the present invention, the central processing unit includes an artificial intelligence and machine learning module, configured to analyze long-term patient response data and therapy effectiveness in relation to the mixed signals; optimize therapy programs based on analysis of mixed signal efficacy and accumulated data trends; predict patient responses to different therapy frequencies, including those produced by signal mixing; and automatically adjust therapy settings for enhanced treatment efficacy over time by refining the signal mixing algorithms.

[0014] According to a second aspect of the present invention, there is provided a method of using an advanced therapy machine to administer therapy. The method comprises selecting a therapy program from a pre-stored library in a data repository based on patient diagnosis through a user interface; emitting programmable therapeutic frequencies through a therapy signal generator; administering therapeutic frequencies to a patient efficiently via a signal application mechanism; monitoring patient responses in real-time through an integrated feedback system; adjusting therapy parameters based on analyzed feedback data through a central processing unit; and displaying realtime operational status and therapy session data on the user interface.

[0015] In accordance with an embodiment of the present invention, the emitting step includes operating the therapy signal generator across a frequency range of 1 Hz to 100 GHz; and mixing the input signal from the patient's symptoms with frequencies of substances related to the patient, and predefined treatment frequencies to produce a targeted therapeutic output.

[0016] In accordance with an embodiment of the present invention, the user interface includes display means as well as input means facilitating intuitive interaction and program customization. Herein the user interface is configured to receive patient input and substance frequency data; enable the user to select and customize therapy programs that mix the patient's symptom frequencies with the substance frequencies; allow manual adjustments in therapy parameters basedon the mixed signal analysis; and send corresponding adjustment commands to the therapy signal generator and the signal application mechanism.

[0017] In accordance with an embodiment of the present invention, the signal application mechanism comprises one or more of multi-functional electrodes, tensor devices, and a magnetic mattress to transmit selected frequencies suitable for all kinds of patient anatomies. Besides, the signal application mechanism is configured to apply the mixed therapeutic signals produced by the therapy signal generator.

[0018] In accordance with an embodiment of the present invention, the data repository is capable of both cloud-connectivity for remote access and updates, and local storage for immediate data access. Also, the data repository further includes a database of recorded substance frequencies which can be mixed with patient symptom frequencies by the therapy signal generator.

[0019] In accordance with an embodiment of the present invention, monitoring patient responses includes using advanced sensors selected from biometric sensors, thermal sensors, and impedance analyzers to gauge patient reactions to the mixed therapeutic signals and providing feedback data to the central processing unit for real-time analysis and signal mixing adjustments.

[0020] In accordance with an embodiment of the present invention, adjusting therapy settings involves using an artificial intelligence and machine learning module within the central processing unit to analyze long-term patient response data and therapy effectiveness in relation to mixed signals, optimize therapy programs based on the analysis of mixed signal efficacy and data trends, predict patient responses to different therapy frequencies, and automatically adjust therapy settings to enhance treatment efficacy over time by refining signal mixing algorithms.BRIEF DESCRIPTION OF THE DRAWINGS

[0021] So that how the above-recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only typical embodiments of this invention and are therefore not to be considered limiting of its scope, the invention may admit to other equally effective embodiments. These and other features, benefits, and advantages of the present invention will become apparent by reference to the following text figure, with like reference numbers referring to like structures across the views, wherein:Fig. 1 illustrates the advanced therapy machine, in accordance with an embodiment of the present invention;Fig. 2 illustrates a method of using the advanced therapy machine, in accordance with an embodiment of the present invention; andFig. 3A-3B illustrates an information flow diagram of an exemplary implementation / operation of the advanced therapy machine, in accordance with an embodiment of the present invention.DETAILED DESCRIPTION OF THE DRAWINGS

[0022] While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and is not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed. Still, on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout this description, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense, (i.e., meaning must). Further, the words "a" or "an" mean "at least one” and the word “plurality” means “one or more” unless otherwise mentioned. Furthermore, the terminology and phraseology used herein are solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed after that, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles, and the like is included in the specification solely to provide a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.

[0023] In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase “comprising”, it is understood that we also contemplate the same composition, element, or group of elements with transitional phrases “consisting of’, “consisting”, “selected from the group of consisting of, “including”, or “is” preceding the recitation of the composition, element or group of elements and vice versa.

[0024] The present invention is described hereinafter by various embodiments with reference to the accompanying drawing, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.

[0025] In the accompanying drawings, Figure 1 illustrates an advanced therapy machine 100, in accordance with an embodiment of the present invention. The advanced therapy machine 100 is designed to administer therapeutic interventions to address a wide spectrum of diseases and disorders in patients. Since many individuals afflicted with chronic conditions such as heart failure, kidney failure, vascular issues, and digestive disorders often experience challenges related to accurate diagnosis and timely treatment, the present invention aims to provide a viable and effective solution to that.

[0026] As shown in Figure 1, the advanced therapy machine 100 comprises, but not limited to, a therapy signal generator 102, a user interface 104, a signal application mechanism 106 connected with the therapy signal generator 102, a data repository 108, an integrated feedback system 112, and a central processing unit 110 connected with the therapy signal generator 102, the user interface 104, the data repository 108 and the integrated feedback system 112.

[0027] Herein, the therapy signal generator 102 is intricately engineered to emit a spectrum of programmable therapeutic frequencies, pivotal in addressing a numerous patient 101-specific medical conditions. In an exemplary embodiment, the therapy signal generator 102 may be designed to function within an extensive frequency range extending from, but not limited to, 1 Hz to 100 GHz. This broad operational bandwidth enables the therapy signal generator 102 to tailor its output to the unique therapeutic needs of individual patients, whether it be for deep tissue penetration or surface-level treatment. The capacity to cover such an expansive frequency range is due to the generator’s 102 sophisticated internal circuitry, which includes a combination of digital and analog components, such as precision oscillators, frequency synthesizers, and power amplifiers, to produce accurate and stable frequencies required for therapy.

[0028] The flexibility of the therapy signal generator 102 is further exemplified by its mixing function. This function is not merely a feature but a complex, algorithm-driven process thatsynergizes the input signal from a patient’s 101 symptoms with the frequencies of selected substances. These substances may include a broad array of organic materials, elements from the periodic table, or third-party therapy signals that have been meticulously recorded and stored within the data repository 108. By integrating these diverse frequencies with the patient’s 101 symptomatology, the therapy signal generator 102 produces a compounded therapeutic output that is both potent and directed, enhancing the efficacy of the treatment delivered.

[0029] Inherent in the design of the therapy signal generator 102 is the capability to not only emit but also modulate the therapeutic frequencies in real-time. This is made possible through the inclusion of a dynamic modulation system, which allows for the adjustment of frequency amplitudes, waveforms, and modulation rates, thereby optimizing the therapeutic impact. The modulation system is responsive to operational commands received from the central processing unit 110, which governs the signal generator 102 based on complex algorithms that account for patient 101 feedback and the prescribed therapy program.

[0030] To ensure that the therapeutic frequencies are not only precise but also consistent, the therapy signal generator 102 may also be equipped with a stabilization mechanism. This mechanism mitigates any fluctuations in frequency output, which could arise from environmental factors or operational variances. Such stabilization is critical for maintaining the integrity of the therapy, as consistent frequency output is paramount for achieving the desired therapeutic outcomes. Moreover, the therapy signal generator 102 is constructed with high-grade materials that shield the internal components from external electromagnetic interference, ensuring that the therapeutic frequencies are as pure and uncontaminated as possible. The robust design also means that the generator 102 is built to withstand the rigors of continuous operation, reflecting the demands of a clinical setting where reliability is of utmost importance.

[0031] To facilitate the monitoring and adjustment of the therapy signal generator’s 102 performance, it is connected to the user interface 104. This connection allows practitioners to select and customize therapy programs, with the user interface 104 displaying critical parameters such as frequency selection, modulation settings, and output power levels. Such transparency in the operation of the therapy signal generator 102 empowers users to fine-tune the therapeutic frequencies to an exceptional degree of precision, thereby enhancing patient 101 outcomes.

[0032] Furthermore, the user interface 104 of the advanced therapy machine 100 serves as the primary point of interaction between the machine 100 and its users (the medical professionals administering therapy), providing an intuitive and accessible means for operating the device. In some embodiments, the user interface 104 includes a display means (such as a screen) as well as an input means (physical / virtual keys mouse) facilitating intuitive interaction and program customization. In other embodiments, the user interface 104 consists of a touch-input based displaypanel equipped with both output and input functionalities, enabling the display of information and the reception of user commands.

[0033] Equipped with a high-resolution touchscreen, the user interface 104 allows for the easy selection and customization of therapy programs. This feature is designed to accommodate users with varying levels of technical proficiency, ensuring that the operation of the therapy machine 100 is straightforward and user-friendly. The display can show a range of information, from current therapy settings to real-time feedback on patient 101 responses, all laid out in a clear and logical manner.

[0034] In addition to the touchscreen, the user interface 104 can include a variety of input devices such as buttons, dials, or keyboards, which offer alternative means of interaction. This redundancy ensures that the machine 100 can cater to different user preferences and is operable even in the event of a touchscreen malfunction. The design of the user interface 104 considers ergonomic factors, placing all controls within easy reach to minimize user fatigue and to enhance the overall user experience.

[0035] The user interface 104 is also designed to be adaptable, capable of supporting updates and customizations to its software. This flexibility allows the machine 100 to evolve with advancements in therapy protocols and user interface 104 design, ensuring longevity and continued relevance in therapeutic settings. Whether it's through a simple software update or the integration of new hardware components, the user interface 104 is built to accommodate the growing needs of medical professionals and patients alike.

[0036] Furthermore, the signal application mechanism 106 in the advanced therapy machine 100 is a sophisticated array designed to efficiently administer the therapeutic frequencies generated by the therapy signal generator 102 to the patient 101. This signal application mechanism 106 includes, one or more of, but not limited to, an assortment of multi-functional electrodes, tensor devices, and potentially a magnetic mattress, all of which are optimized to transmit a wide range of selected frequencies suitable for various patient 101 anatomies and therapeutic needs.

[0037] Multi-functional electrodes, part of the signal application mechanism 106, are manufactured from conductive materials that ensure a high-fidelity transfer of frequencies into the patient’s 101 body. These electrodes are adaptable and can be positioned on the patient’s 101 skin in configurations that align with the therapeutic program in use. Tensor devices complement the electrodes by providing a means to apply tension and ensure firm contact with the patient’s 101 skin, which is essential for consistent signal delivery.

[0038] In another embodiment, the magnetic mattress component of the signal application mechanism 106 is another innovative aspect, enabling the distribution of magnetic fields as a form of therapy. This mattress can be utilized in conjunction with or as an alternative to the electrodes,offering a non-invasive method 200 of frequency application that expands the therapeutic possibilities of the machine 100.

[0039] The signal application mechanism 106 is engineered to work in harmony with the therapy signal generator 102 and is controlled by the central processing unit 110. Furthermore, the signal application mechanism 106 is designed to be modular, allowing for various components to be interchanged or updated as therapeutic technology advances. This modularity ensures that the advanced therapy machine 100 can adapt to future developments in therapeutic techniques and patient 101 treatment protocols.

[0040] Next, the data repository 108 of the advanced therapy machine 100 is a comprehensive storage that plays a crucial role in the machine’s 100 operation. It securely houses an extensive library of diverse therapy programs, each meticulously designed to target specific conditions and patient 101 needs. In addition to program storage, the data repository 108 archives patient 101 response data, facilitating the longitudinal analysis of therapeutic efficacy and patient 101 progress over time.

[0041] This data repository 108 is adeptly configured for both local storage and cloud connectivity, offering a dual approach to data management. Local storage ensures that essential therapy programs and patient 101 data are immediately accessible, providing reliability and speed during therapy sessions. Cloud connectivity, on the other hand, extends the machine’s 100 capabilities by enabling remote access to therapy programs, allowing for real-time updates and synchronization across multiple devices or treatment centers.

[0042] Embedded within the data repository 108 is a specialized database that contains recorded frequencies of various substances, including organic compounds and elements from the periodic table. These recorded frequencies are integral to the machine’s 100 signal mixing function, as they can be selectively combined with patient 101 symptom data by the therapy signal generator 102. The inclusion of third-party therapy signals in the database further enhances the machine’s 100 versatility and applicability across different therapeutic disciplines and practices.

[0043] The design of the data repository 108 reflects a commitment to scalability and futureproofing. As new therapy programs are developed and as the repository of substance frequencies grows, the system can be seamlessly updated without disrupting existing operations. This scalability ensures that the advanced therapy machine 100 remains at the forefront of therapeutic technology, capable of evolving with the advancements in medical research and patient 101 care practices.

[0044] In addition, the integrated feedback system 112 within the advanced therapy machine 100 is a sophisticated network of sensors and analytical tools designed to monitor the patient’s 101 physiological responses to therapy in real time. This system is integral to the machine’s 100adaptive therapy capabilities, as it provides immediate data on the effectiveness of the treatment being administered.

[0045] Sensors incorporated into the integrated feedback system 112 may include biometric sensors, thermal sensors, and impedance analyzers. These sensors are strategically placed to capture a comprehensive range of physiological data, such as heart rate variability, skin temperature, and electrical impedance, which are indicative of the patient’s 101 response to the therapeutic frequencies. The collected data is then transmitted to the central processing unit 110 for analysis.

[0046] The central processing unit 110, upon receiving the data from the integrated feedback system 112, employs advanced algorithms to interpret the physiological signals. This analysis helps determine whether the therapy is having the desired effect or if adjustments to the therapeutic frequencies are necessary. The system can identify subtle changes in patient 101 response, enabling the machine 100 to dynamically adjust therapy parameters for optimized treatment outcomes.

[0047] The integrated feedback system 112 is also designed with patient 101 safety in mind, featuring fail-safes and alerts to inform practitioners of any adverse reactions. This immediate feedback loop not only ensures the efficacy of the therapy but also reinforces the safety protocols inherent to the machine’s 100 operation, making it a critical component in the delivery of responsive and patient 101-centric care.

[0048] Additionally, the central processing unit 110 (CPU 110) of the advanced therapy machine 100 is the nexus of the machine’s 100 operation, orchestrating the intricate processes that define its functionality. This sophisticated hardware and software assembly processes and analyzes data inputs from the integrated feedback system 112 and orchestrates the machine’s 100 responsive actions.

[0049] Incorporating computing capabilities, the central processing unit 110 is equipped with a memory unit to store machine 100-readable instructions vital for the operation of the therapy machine 100. These instructions can be loaded from various non-transitory machine 100-readable media or through software programs into memory types such as EPROM, EEPROM, or Flash memory, providing flexibility and ease of updating the system's firmware and software.

[0050] The central processing unit 110 is also responsible for the execution of commands sent to the therapy signal generator 102. It ensures the precise emission of therapeutic frequencies, tailored to each patient’s 101 therapy program. This precision is achieved through the CPU 110's control over the signal generator’s 102 complex mixing function that integrates patient 101 symptom data with frequencies of substances stored in the data repository 108.

[0051] Moreover, the CPU 110 integrates an artificial intelligence and machine 100 learning module, similar to the advanced technologies described in the reference application. This module automates the task of analyzing patient 101 response data, optimizing therapy programs, and refining treatment efficacy. Through the accumulation and learning from patient 101 data, the module enables the therapy machine 100 to adapt and improve its diagnostic and therapeutic capabilities over time.

[0052] In effect, the central processing unit 110 serves as the brain of the advanced therapy machine 100, similar to the processing unit 110 in the prior application, leveraging both the spectrum of frequencies from the therapy signal generator 102 and the feedback from the integrated sensors to provide a seamless and adaptive therapeutic experience.

[0053] In accordance with an embodiment of the present invention, the advanced therapy machine 100, as described, is not only an integrated apparatus but is also designed to be versatile in its assembly, allowing for various alternative arrangements and variations to suit different clinical and therapeutic settings.

[0054] In one embodiment, the advanced therapy machine 100 may be configured as a distributed system, where individual components like the therapy signal generator 102, the user interface 104, the signal application mechanism 106, the data repository 108, and the integrated feedback system 112 are separate units networked together. This distributed approach offers flexibility in setup and can be advantageous in larger healthcare facilities where space is allocated across different rooms or areas. Each unit can be placed strategically to optimize the workflow and ergonomics of patient 101 care while maintaining cohesive functionality through wireless or wired networking.

[0055] Alternatively, the advanced therapy machine 100 can be designed as a compact, integrated unit where all components are housed within a single enclosure. This configuration is particularly useful for smaller clinics or home-use scenarios, where space saving is crucial. It allows for ease of portability and simplifies the operational setup, making the therapy machine 100 accessible and convenient for a wide range of users.

[0056] Considering the central processing unit 110 (CPU 110), it may exist as part of a comprehensive computer system that encompasses the user interface 104 as well. In such embodiments, the CPU 110's computational power is leveraged not only for processing and analyzing data but also for controlling the display and interaction mechanisms of the user interface 104. This integrated computer system can host sophisticated software platforms that facilitate intuitive selection of therapy programs, visualization of therapy progress, and customization of treatment protocols. The consolidation of the CPU 110 and the user interface 104 into one computer system streamlines the user experience and can enhance the overall efficiency of the therapy delivery.

[0057] Moreover, in some embodiments, the central processing unit 110 may be a standalone module capable of interfacing with external computer systems, such as tablets or medical-grade computers. This modular design of the CPU 110 allows for upgrades and replacements without the need to overhaul the entire therapy machine 100. It enables the therapy machine 100 to remain at the cutting edge of technology by allowing easy updates to more advanced CPU 110s or integration with different user interface 104s as technology progresses.

[0058] These alternative arrangements and variations underscore the advanced therapy machine’s100 adaptability and scalability, ensuring that it can meet the evolving demands of therapeutic care and integrate seamlessly into a variety of medical infrastructures.Method 200 of Operation:

[0059] The invention works in the following manner:

[0060] Figure 2 illustrates a method 200 of using the advanced therapy machine 100, in accordance with an embodiment of the present invention. However, the method 200 described in Figure 2 will be better understood in reference to the Figures 3A-3B that illustrate an information flow diagram of an exemplary implementation / operation of the advanced therapy machine 100, in accordance with an embodiment of the present invention.

[0061] Step 202: Selecting a Therapy ProgramAs depicted in Figure 2, the method 200 begins at step 202 by selecting a therapy program from the pre-stored library in the data repository 108. This selection is made based on the patient’s 101 diagnosis, facilitated through the user interface 104 of the therapy machine 100. The user interface 104, integral to this selection process, allows healthcare providers or patients themselves to navigate through a comprehensive database of therapy programs, each designed to target specific medical conditions or symptoms. The programs in the data repository 108, as seen in Figure 3A, encompass a wide spectrum of therapeutic needs, ensuring a personalized treatment approach.

[0062] Step 204: Emitting Programmable Therapeutic FrequenciesOnce a therapy program is selected, the therapy signal generator 102, as shown in Figure 2, begins emitting programmable therapeutic frequencies. This step involves operating the therapy signal generator 102 across an extensive frequency range of 1 Hz to 100 GHz. As detailed in the disclosure document, the signal generator 102 mixes the input signal, which includes the patient’s101 symptom data, with frequencies of substances related to the patient 101. These substances could range from organic compounds to elements from the periodic table. The frequencies are then synthesized to form a targeted therapeutic output, as visualized in Figure 3B, where the signal generator 102 intricately blends these varying frequency components.

[0063] In accordance with an embodiment of the present invention, step 204 specifically addresses the emitting of programmable therapeutic frequencies through the therapy signal generator 102. This step incorporates the detailed signal mixing process as described:

[0064] The therapy signal generator 102 within the advanced therapy machine 100 plays a pivotal role in the therapy's effectiveness by utilizing a variety of mixers to combine different signals for a comprehensive therapeutic approach. Firstly, the input signal, which encapsulates the patient’s 101 symptoms, is intricately mixed with frequencies corresponding to the patient’s 101 own biological substances such as blood, urine, saliva, or any drugs being used. This personalization ensures that the therapy is precisely tailored to the patient’s 101 unique physiological state and medical condition.

[0065] Further enhancing the therapy's specificity, this input signal is then amalgamated with the main therapy programs selected through the user interface 104. This mixing results in a stronger and more directed therapeutic signal, which is then amplified and sent to the output mechanism of the machine 100. The amplification of this output signal is a critical step, as it ensures that the therapy is delivered with the required intensity and precision.

[0066] Moreover, the advanced therapy machine 100 facilitates the mixing of several treatment programs simultaneously. This feature allows for the integration of a diverse range of therapeutic frequencies, including those of organic and mineral substances, as well as previously recorded therapy signals. By combining these into a single multi-frequency therapy package, the machine 100 can address multiple aspects of a patient’s 101 condition concurrently, offering a holistic treatment approach.

[0067] A unique aspect of the signal mixing process is the ability to alter the mixed output signal in various directions - right, left, or both. This directional control of the signal adds another layer of customization to the therapy, enabling the machine 100 to target specific areas or conditions within the patient’s 101 body more effectively.

[0068] Finally, an integral part of the signal mixing process involves the use of scalar waves. These waves are theorized to oscillate in a compressional and rarefied manner, possessing the distinctive property of being able to propagate through various materials, including the Earth, with minimal attenuation. Scalar waves will be mixed with the output in Mega and Giga hertz with continuous or simultaneous. The application of scalar waves in the therapy machine 100 is hypothesized to enhance the therapeutic process, potentially offering unique benefits such as deeper tissue penetration and the wireless transmission of therapeutic energy.

[0069] This comprehensive signal mixing process, as part of step 204 in the method 200 of using the advanced therapy machine 100, underscores the machine’s 100 capability to deliver highly personalized and effective therapy, adapting to the intricate needs of each patient 101.

[0070] Step 206: Administering Therapeutic FrequenciesIn the next step, the therapy machine 100 administers these therapeutic frequencies to the patient 101 efficiently via the signal application mechanism 106. This mechanism may include multifunctional electrodes, tensor devices, and possibly a magnetic mattress, ensuring that the frequencies are transmitted effectively and comfortably to the patient 101, regardless of their anatomical variations. This transmission is visualized in Figure 3A, where the electrodes or other devices make contact with the patient 101, ensuring the frequencies are delivered precisely to the targeted areas.

[0071] Step 208: Monitoring patient 101 ResponsesSimultaneously, the integrated feedback system 112, as illustrated in Figure 2, begins monitoring the patient’s 101 responses in real-time. Advanced sensors, including biometric, thermal, and impedance analyzers, gather physiological data from the patient 101. This data, indicative of the patient’s 101 reaction to the therapy, is crucial for real-time analysis and is depicted in Figure 3B. The data is streamed continuously to the central processing unit 110, providing a comprehensive picture of the patient’s 101 response to the administered frequencies.

[0072] Step 210: Adjusting Therapy ParametersFollowing the real-time analysis of patient feedback data, the central processing unit 110 actively adjusts the therapy parameters to ensure that the treatment is both effective and precisely tailored to the evolving needs of the patient 101. This adjustment process can be any or both, manual and automatic modifications. In one embodiment, healthcare professionals can manually adjust therapy settings through the user interface 104, adapting the treatment based on their clinical judgment and patient feedback. Simultaneously or alternately, the central processing unit 110, leveraging its artificial intelligence and machine learning capabilities, autonomously optimizes therapy programs. It analyzes long-term patient 101 response data and adjusts frequency emissions and modulation automatically. This dual approach, as visualized in Figure 3B, enables a dynamic and responsive treatment process, meticulously fine-tuning therapeutic frequencies and intensities to accommodate the patient's 101 immediate physiological responses as well as cumulative health trends.

[0073] Step 212: Displaying Operational Status and Therapy DataThroughout the therapy session, the user interface 104 displays real-time operational status and therapy session data, as indicated in Figure 2. This step is essential for keeping healthcare providers informed about the ongoing treatment process. The interface shows vital information such as current frequency settings, patient 101 response metrics, and any adjustments made by the central processing unit 110. This continuous display of information, as shown in Figure 3A, ensures thatthe healthcare provider remains fully aware of the therapy's progress and can make informed decisions if manual interventions are required.

[0074] This method 200 of operation, encompassing steps 202 to 212, illustrates a comprehensive and adaptive approach to administering therapy using the advanced therapy machine 100. It highlights the intricate interplay of technology and patient 101 -centric care, ensuring that each therapy session is as effective and personalized as possible.WORKING EXAMPLE FOR PROCEDURE FOR OPERATING THE ADVANCED THERAPY MACHINE:

[0075] The operation of the advanced therapy machine 100, in this example, is designed to treat a patient 101 with kidney failure and heart issues, exemplifies the integration of its sophisticated components. This procedure involves a series of steps that effectively utilize the therapy signal generator 102, user interface 104, signal application mechanism 106, data repository 108, and the integrated feedback system 112, orchestrated by the central processing unit 110.Program Selection and Storage

[0076] Initially, the user interface 104 of the advanced therapy machine 100 enables the selection of specific therapy programs. These programs, tailored to treat the symptoms of kidney failure and heart issues, are stored in the data repository 108, accessible via storage devices like SD Cards. This ensures that the most up-to-date and relevant therapy protocols are readily available for use.Dual Channel Therapy Configuration1. First Channel for Symptom Treatment: Utilizing the user interface 104, healthcare professionals select five or more therapy programs from the data repository 108. These programs, each addressing different aspects of the patient’s 101 symptoms, are then emitted by the therapy signal generator 102.2. Second Channel for Cause Treatment: Concurrently, the therapy signal generator 102 activates a specific program from the second channel, focusing on the underlying causes of the kidney and heart conditions.Therapy Signal Generation and Administration

[0077] The therapy signal generator 102, operating across a broad frequency range, intricately mixes the patient’s 101 symptom data with frequencies corresponding to relevant substances, creating a customized therapeutic output. This output is efficiently administered to the patient 101 through the signal application mechanism 106, which includes multi-functional electrodes and potentially a magnetic mattress, ensuring comprehensive treatment coverage.Continuous and Simultaneous Therapy Modes

[0078] The machine 100 offers two modes of operation:1. In continuous mode, therapy signals are projected in sequence, allowing focused treatment on each symptom and cause.2. In simultaneous mode, signals from all selected programs are combined, providing a holistic treatment approach.Control and Monitoring of Therapy

[0079] The central processing unit 110 dynamically controls the therapy process, adjusting parameters such as amplification level, mode (including the Ai inverse mode for signal inversion), and circulation mode (right spin, left spin, or both). This customization is vital for conditions like kidney failure, where specific treatment patterns are needed.Throughout the therapy session, the integrated feedback system 112 actively monitors the patient’s 101 response. Sensors like biometric and thermal sensors provide real-time data to the central processing unit 110, which then adjusts the therapy parameters accordingly. This feedback loop ensures that the treatment is responsive to the patient’s 101 immediate needs.Scalar Waves Integration

[0080] Incorporating scalar waves into the therapy enhances the treatment's depth and effectiveness. These waves, combined with the frequencies from both therapy channels, create a comprehensive therapeutic spectrum, catering to the complexities of the patient’s 101 condition.By intertwining these advanced components and functionalities, the advanced therapy machine 100 offers a nuanced and effective treatment procedure. This integrated approach not only ensures that each aspect of the patient’s 101 condition is addressed but also exemplifies the machine’s 100 ability to provide personalized and adaptive medical care.

[0081] The present invention offers a number of advantages, reflecting its innovative approach and advanced technological integration:• Customized Therapy: The machine’s ability to mix signals from various sources, including patient symptoms and substance frequencies, allows for highly personalized therapy. This ensures that each patient receives treatment specifically tailored to their unique medical needs.• Versatile Frequency Range: With a therapy signal generator capable of operating across a frequency range of 1 Hz to 100 GHz, the machine can administer treatment for a wide array of conditions, making it exceptionally versatile in its application.• Dual-Channel Functionality: The machine’s design incorporates dual channels for addressing both the symptoms and causes of diseases, ensuring a holistic treatment approach that tackles the root of medical issues, not just the symptoms.• Advanced Monitoring and Feedback: Equipped with an integrated feedback system using advanced sensors, the machine offers real-time monitoring of patient responses. This leads to dynamic therapy adjustments, enhancing the efficacy and safety of the treatment.• Al and Machine Learning Integration: The inclusion of an Al and machine learning module within the central processing unit allows the machine to continually refine its therapy protocols, improving treatment accuracy and effectiveness over time.• User-Friendly Interface: The user interface is designed for intuitive operation, simplifying the complex process of navigating and customizing therapy programs, thereby making the machine accessible to a wide range of users.• Scalable and Updatable System: The machine’s data repository, capable of both cloud connectivity and local storage, ensures that therapy programs can be constantly updated and expanded, maintaining the machine’s relevance in the face of evolving medical research.• Comprehensive Treatment Coverage: The signal application mechanism’s inclusion of multi-functional electrodes, tensor devices, and a magnetic mattress allows for effective frequency transmission across various patient anatomies, ensuring comprehensive treatment coverage.• Enhanced Therapeutic Effects with Scalar Waves: The use of scalar waves in therapy enhances the depth and reach of treatment, offering potential benefits such as deeper tissue penetration and innovative therapeutic applications.• Reduced Side Effects and Enhanced Safety: With its sophisticated feedback system and dynamic therapy adjustment capabilities, the machine minimizes the risk of side effects, ensuring a safer treatment experience for patients.This advanced therapy machine represents a significant leap forward in medical technology, offering personalized, adaptable, and effective treatment solutions for a range of medical conditions. Its integration of cutting-edge technology with patient-centric design principles makes it a valuable asset in modern healthcare settings.

[0082] Further, one would appreciate that a communication network may also be used in the present invention. The communication network can be a short-range communication network and / or a long-range communication network. The communication interface includes, but is not limited to, a serial communication interface, a parallel communication interface, or a combination thereof. The communication network may enable wireless and remote operation of the device, and the data repository may include pre-stored data of known frequencies of target substances, trained Al or Machine learning models, etc.

[0083] In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, for example, python R, C, C#, Java, or assembly. One or more software instructions in the modules may be embedded in firmware, such as an EPROM. It will be appreciated that modules may comprise connected logic units, such as gates and flip-flops, and may comprise programmable units, such as programmable gate arrays or processors. The modules described herein may be implemented as either software and / or hardware modules and may be stored in any type of computer-readable medium or other computer storage device.

[0084] Further, while one or more operations have been described as being performed by or otherwise related to certain modules, devices, or entities, the operations may be performed by or otherwise related to any module, device, or entity. As such, any function or operation that has been described as being performed by a module could alternatively be performed by a different server, by the cloud computing platform, or a combination thereof.

[0085] Various modifications to these embodiments are apparent to those skilled in the art from the description and the accompanying drawings. The principles associated with the various embodiments described herein may be applied to other embodiments. Therefore, the description is not intended to be limited to the embodiments shown along with the accompanying drawings but is to provide the broadest scope consistent with the principles and the novel and inventive features disclosed or suggested herein. Accordingly, the invention is anticipated to hold on to all615 other such alternatives, modifications, and variations that fall within the scope of the present invention and the appended claims.

Claims

CLAIMS1. An advanced therapy machine comprising: a therapy signal generator for emitting programmable therapeutic frequencies; a user interface enabling selection and customization of therapy programs based on patient-specific parameters; a signal application mechanism connected with the therapy signal generator, configured to administer therapeutic frequencies to a patient efficiently; a data repository storing diverse therapy programs and patient response data; an integrated feedback system for real-time monitoring and adjustment of therapy parameters; and a central processing unit connected with the therapy signal generator, the user interface, the data repository and the integrated feedback system, wherein the central processing unit is configured to: receive a selection of a therapy program from the user interface and retrieve the selected therapy program from the data repository; send operational commands to the therapy signal generator for the emission of specific therapeutic frequencies associated with the selected therapy program for the patient to receive through the signal application mechanism; receive patient response data from the integrated feedback system; analyze data received from the integrated feedback system to determine required adjustments in therapy parameters and send corresponding adjustment commands to the therapy signal generator and the signal application mechanism; display real-time operational status and therapy session data on the user interface for user monitoring and interaction.

2. The advanced therapy machine of claim 1, wherein the therapy signal generator is configured to operate across a frequency range of 1 Hz to 100 GHz, and includes a mixing function that combines: the input signal from the patient's symptoms; the frequency of substances related to the patient, which include organic substances, elements from the periodic table, or third-party therapy signals; and predefined treatment frequencies from the custom programs to produce a stronger and directed therapeutic output.

3. The advanced therapy machine of claim 1, wherein the user interface includes display means as well as input means facilitating intuitive interaction and program customization; wherein the user interface is configured to: receive patient input and substance frequency data; enable the user to select and customize therapy programs that mix the patient's symptom frequencies with the substance frequencies; allow manual adjustments in therapy parameters based on the mixed signal analysis; and send corresponding adjustment commands to the therapy signal generator and the signal application mechanism.

4. The advanced therapy machine of claim 1, wherein the signal application mechanism comprises one or more of multi-functional electrodes, tensor devices, and a magnetic mattress to transmit selected frequencies suitable for all kinds of patient anatomies; wherein the signal application mechanism is further configured to apply the mixed therapeutic signals produced by the therapy signal generator.

5. The advanced therapy machine of claim 1, wherein the data repository is capable of both cloud-connectivity for remote access and updates, and local storage for immediate data access; wherein the data repository further includes a database of recorded substance frequencies which can be mixed with patient symptom frequencies by the therapy signal generator.

6. The advanced therapy machine of claim 1, wherein the feedback system employs advanced sensors to gauge patient responses to the mixed therapeutic signals and adjust therapy settings accordingly; wherein the sensors are selected from biometric sensors, thermal sensors, and impedance analyzers, which feed data back to the central processing unit for real-time analysis and signal mixing adjustments.

7. The advanced therapy machine of claim 1, wherein the central processing unit includes an artificial intelligence and machine learning module, configured to: analyze long-term patient response data and therapy effectiveness in relation to the mixed signals; optimize therapy programs based on analysis of mixed signal efficacy and accumulated data trends;predict patient responses to different therapy frequencies, including those produced by signal mixing; and automatically adjust therapy settings for enhanced treatment efficacy over time by refining the signal mixing algorithms.

8. A method of using an advanced therapy machine to administer therapy, the method comprising: selecting a therapy program from a pre-stored library in a data repository based on patient diagnosis through a user interface; emitting programmable therapeutic frequencies through a therapy signal generator; administering therapeutic frequencies to a patient efficiently via a signal application mechanism; monitoring patient responses in real-time through an integrated feedback system; adjusting therapy parameters based on analyzed feedback data through a central processing unit; displaying real-time operational status and therapy session data on the user interface.

9. The method of claim 8, wherein the emitting step includes: operating the therapy signal generator across a frequency range of 1 Hz to 100 GHz; mixing the input signal from the patient's symptoms with frequencies of substances related to the patient, and predefined treatment frequencies to produce a targeted therapeutic output.

10. The method of claim 8, wherein the user interface includes display means as well as input means facilitating intuitive interaction and program customization; wherein the user interface is configured to: receive patient input and substance frequency data; enable the user to select and customize therapy programs that mix the patient's symptom frequencies with the substance frequencies; allow manual adjustments in therapy parameters based on the mixed signal analysis; and send corresponding adjustment commands to the therapy signal generator and the signal application mechanism.

11. The method of claim 8, wherein the signal application mechanism comprises one or more of multi-functional electrodes, tensor devices, and a magnetic mattress to transmit selected frequencies suitable for all kinds of patient anatomies; wherein the signal application mechanism is configured to apply the mixed therapeutic signals produced by the therapy signal generator.

12. The method of claim 8, wherein the data repository is capable of both cloud -connectivity for remote access and updates, and local storage for immediate data access; wherein the data repository further includes a database of recorded substance frequencies which can be mixed with patient symptom frequencies by the therapy signal generator.

13. The method of claim 8, wherein monitoring patient responses includes using advanced sensors selected from biometric sensors, thermal sensors, and impedance analyzers to gauge patient reactions to the mixed therapeutic signals and providing feedback data to the central processing unit for real-time analysis and signal mixing adjustments.

14. The method of claim 8, wherein adjusting therapy settings involves using an artificial intelligence and machine learning module within the central processing unit to analyze long-term patient response data and therapy effectiveness in relation to mixed signals, optimize therapy programs based on the analysis of mixed signal efficacy and data trends, predict patient responses to different therapy frequencies, and automatically adjust therapy settings to enhance treatment efficacy over time by refining signal mixing algorithms.

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