Non-invasive system for assessing and regulating midbrain nerves function to improve physiological balance and health

Abstract

Described herein is a system (100) for assessing and regulating midbrain nerve function The system (100) comprises one or more input devices (102, 104), and a processing device (106) in communication with the one or more input devices (102, 104). The processing device (106) is configured to capture, using the one or more input devices (102, 104), data pertaining to physiological attributes and bioelectrical signals generated across one or more body parts of the user, wherein the physiological attributes comprise at least a stiffness of muscles associated with the one or more body parts of the user, and determine constriction level and health of a plurality of nerves extending through the one or more body parts of the user based on the captured physiological attributes and the bioelectrical signals, wherein the plurality of nerves is associated with a mid-brain of the user.

Description

NON-INVASIVE SYSTEM FOR ASSESSING AND REGULATING MIDBRAIN NERVES FUNCTION TO IMPROVE PHYSIOLOGICAL BALANCE AND HEALTHTECHNICAL HELD

[0001] The present disclosure relates to the field of medical diagnostics and neuroscience, particularly to the assessment, monitoring, and correction of midbrain and associated nerve’s function. More specifically, the present disclosure relates to a simple yet advanced, safe, and cost-effective non-invasive solution for evaluating midbrain-associated nerve health, detecting physiological imbalances and diseases, and improving blood flow, nutrient transport, hormonal regulation, and overall organ function.BACKGROUND

[0002] The human body is an intricate and dynamic system composed of multiple interconnected units, including cells, tissues, organs, and physiological networks. These components function synergistically to maintain homeostasis through continuous processes such as nutrient absorption, waste excretion, neural signalling, and hormonal regulation. The body's fundamental operations are governed by systematic interactions between various biological mechanisms, enabling seamless internal and external functions.

[0003] A crucial component in regulating these functions is the midbrain, which plays a vital role in controlling various organs and overall human functioning. The midbrain, as part of the central nervous system, facilitates communication between different brain regions and the body, ensuring the proper regulation of physiological processes. Any disturbance in midbrain activity can lead to imbalances in the body's internal systems, affecting nutrient metabolism, blood circulation, hormonal balance, and organ function. However, if such disturbances are identified and corrected, the body may naturally restore its equilibrium, leading to improved health outcomes.

[0004] Over the human lifespan, the nerves associated with the midbrain may experience functional degradation due to aging, environmental factors, or lifestyle habits. Such deterioration can negatively impact blood flow, nutrient transport, hormonal secretion, and oxygen delivery, leading to physiological imbalances.Despite the midbrain’ s critical role in human health, it remains largely unexplored by researchers due to the challenges associated with its study. Current diagnostic techniques require expensive equipment, and assessments often involve harmful radiation exposure, making it difficult to evaluate nerve health and develop effective interventions. Other diagnostic techniques involve invasive process for assessments and treatment, making it difficult and painful to evaluate nerve health and develop effective interventions.

[0005] Given these challenges, there is a need for innovative, non-invasive methods to assess midbrain function and the associated nervous system, by developing a simple yet advanced, safe, and cost-effective diagnostic and therapeutic solution that may detect existing as well as early signs of neural dysfunction associated with the midbrain and various diseases, restore physiological balance in human body, and improve overall human health.OBJECTS OF THE PRESENT DISCLOSURE

[0006] A general object of the present disclosure is to provide a simple yet advanced, safe, and cost-effective diagnostic and therapeutic solution that may detect existing as well as early signs of neural dysfunction associated with the midbrain and various diseases, restore physiological balance in human body, and improve overall human healthSUMMARY

[0007] The present disclosure relates to a simple yet advanced, safe, and cost-effective non-invasive solution for evaluating midbrain-associated nerve health, detecting physiological imbalances and diseases, and improving blood flow, nutrient transport, hormonal regulation, and overall organ function.

[0008] According to an aspect, the present disclosure elaborates upon a system for assessing and regulating midbrain nerve function. The system comprises one or more input devices, and a processing device in communication with the one or more input devices. The processing device is configured to capture, using the one or more input devices, data pertaining to physiological attributes and bioelectrical signals generated across one or more body parts of the user, wherein the physiological attributes comprise at least a stiffness of muscles associated with the one or more body parts of the user, and determine constriction level and health of aplurality of nerves extending through the one or more body parts of the user based on the captured physiological attributes and the bioelectrical signals, wherein the plurality of nerves is associated with a mid-brain of the user.

[0009] In an aspect, the physiological attributes further comprise voice pattern, breathing rate, pulse, and blood pressure of the user.

[0010] In an aspect, the processing device is configured to compare the captured physiological attributes and the bioelectrical signals of the user with a database storing predetermined baselines associated with physiological attributes and bioelectrical signals generated by body parts of known healthy and unhealthy nerves of a human body and determine the constriction level and the health of the plurality of nerves of the user based on the comparison.

[0011] In an aspect, the processing device is configured to extract bioelectric attributes comprising any or a combination of an amplitude, frequency, conduction velocity, impedance variation, and phase delay, from the generated bioelectrical signals, and compare the extracted bioelectric attributes with the predetermined baselines associated with known bioelectric attributes pertaining to bioelectrical signals generated by the body parts of the known healthy and unhealthy nerves and correspondingly determine the constriction level and the health of the plurality of nerves of the user.

[0012] In an aspect, the processing device is configured to identify a set of nerves, among the plurality of nerves, having the constriction level higher than a threshold level, and identify locations on the one or more body parts having the identified set of nerves.

[0013] In an aspect, the processing device is configured to enable marking of target points on a skin of user at the identified locations, and enable application of pressure, creation of vacuum, and / or application of heat for a predetermined time and at a predetermined frequency on the target points to reduce the constriction level in the identified set of nerves.

[0014] In an aspect, the processing device is configured to determine an intensity and frequency of the pressure to be applied, an area and intensity of vacuum to be created, and a temperature level of the heat to be applied on the identified locations based on the determined constriction level and health of the plurality of nerves.

[0015] In an aspect, the system comprises one or more output devices comprising any or a combination of a multi massager device, a vacuum cup, and a heating pad, which enables application of the pressure, vacuum, and / or heat on the identified locations to reduce the constriction level in the identified set of nerves.

[0016] In an aspect, the one or more input devices comprises an electro point detector comprising one or more bioelectric sensors, wherein the electro point detector is adapted to be gripped and moved over the one or more body parts of the user, and operable to monitor the bioelectrical signals generated by the one or more body parts.

[0017] In an aspect, the one or more input devices comprises an iron steel pen with pressure sensor, wherein the iron steel pen is adapted to be gripped and moved over the one or more body parts of the user, which upon movement over the corresponding body parts enables monitoring the stiffness of the muscles.BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings are included to provide a further understanding of the present invention and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present invention and, together with the description,

[0019] FIG. 1 A illustrates an exemplary network architecture of the proposed system for assessing and regulating midbrain nerve function, in accordance with an embodiment of the present disclosure.

[0020] FIG. IB illustrates an exemplary block diagram of the proposed system depicting the data flow in the proposed system, in accordance with an embodiment of the present disclosure.

[0021] FIG. 2 illustrates an exemplary block diagram depicting functional modules of the processing device associated with the proposed system, in accordance with an embodiment of the present disclosure.

[0022] FIGs. 3A and 4A illustrate exemplary foot reflexology and hand reflexology, respectively, depicting key reflex points associated with midbrain nerves.

[0023] FIGs. 3B and 4B illustrate exemplary view depicting application of the input devices on the key reflex points depicted in FIGs. 3A and 4A, respectively, in accordance with an embodiment of the present disclosure.

[0024] FIG. 5 illustrates an exemplary block diagram depicting functional modules of the bioelectric signal sensing device, in accordance with an embodiment of the present disclosure. FIG. 6 illustrates an exemplary block diagram depicting functional modules of the muscle stiffness sensing device, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION OF PREFERRED EMBODIMENT

[0025] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.

[0026] In the following description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.

[0027] Embodiments of the present disclosure elaborate upon a simple yet advanced, safe, and cost-effective non-invasive solution for evaluating midbrain-associated nerve health, detecting physiological imbalances and diseases, and improving blood flow, nutrient transport, hormonal regulation, and overall organ function.

[0028] Referring to FIGs. 1A and IB, a system 100 for assessing and regulating midbrain nerve function is disclosed. The system 100 comprises one or more input devices 102, 104 including but not limited to a bioelectric signal sensing device 102 and a muscle stiffness sensing device 104. The system 100 further includes a processing device 106 in communication with the input devices 102, 104. In addition, the system 100 can include a database 108 storing data received, processed, and generated by the system 100. In an embodiment, the processing device 106 can be a computer, a central server, a laptop, a tablet, and the like, which may include a processor coupled to a memory storing instructions executable by the processor, causing the processing device 106 to perform one or more designated operations. Further, the processing device 106 can include a communication modulethat creates a secured communication channel between the processing device 106 and the bioelectric signal sensing device 102, the muscle stiffness sensing device 104, and the database 108 via a secured network 110.

[0029] In an embodiment, the processing device 106 can be configured to capture, using the input devices 102, 104, data pertaining to physiological attributes and bioelectrical signals generated across one or more body parts of a user to be diagnosed or treated. In an exemplary embodiment, the physiological attributes can include at least a stiffness of muscles associated with the one or more body parts of the user. In addition, the physiological attributes can include voice pattern, breathing rate, pulse, and blood pressure of the user. Accordingly, the processing device 106 can determine the constriction level and health of a plurality of nerves extending through the body parts of the user based on the captured physiological attributes and the bioelectrical signals. These nerves can be associated with a midbrain of the user. The detailed operation of the processing device 106 has been described later in conjunction with FIG. 2.

[0030] The nerves extending from the midbrain or associated with the central nervous system play an important role in transmitting bioelectric signals to different parts of the body, directly influencing muscle activity, stiffness, and hormonal control. The oculomotor nerve (cranial nerve III) extends to the eye muscles, where its bioelectric signals regulate movement. Any constriction in this nerve can weaken signal transmission, leading to impaired eye motion, increased muscle stiffness around the orbit, and possible disruptions in neural pathways that influence stress-related hormones such as cortisol. Similarly, the trochlear nerve (cranial nerve IV), which controls the superior oblique muscle of the eye, depends on stable bioelectric signalling. Nerve constriction in this area may cause restricted eye movement and tension while also affecting neurotransmitter regulation linked to visual processing and neurological stress responses.

[0031] The trigeminal nerve (cranial nerve V), extending through the face, jaw, and scalp, is critical for sensory perception and motor control. When functioning properly, its bioelectric activity ensures normal facial sensation and jaw movement. However, nerve constriction can lead to reduced signal strength, tingling sensations, increased muscle stiffness in the jaw, and a possible impact on stress hormones such as adrenaline due to its connection with the autonomic nervous system. The facial nerve (cranial nerve VII), which controls facialexpressions, also relies on stable bioelectric signals. A decline in its conduction efficiency may result in facial muscle weakness or involuntary stiffness, while disruptions in its neural activity could interfere with the regulation of mood-related hormones like serotonin and dopamine.

[0032] The vestibulocochlear nerve (cranial nerve VIII), primarily associated with balance and hearing, has midbrain connections that regulate equilibrium through bioelectric signalling. Any constriction in this nerve may lead to dizziness, stiffness in neck muscles, and potential disturbances in the body's stress-response system due to altered neural signalling. The glossopharyngeal nerve (cranial nerve IX), extending through the throat and tongue, ensures proper swallowing and taste perception. Reduced nerve signal strength can lead to difficulties in swallowing, increased stiffness in throat muscles, and disturbances in hormonal pathways that regulate digestion and metabolic processes. The vagus nerve (cranial nerve X), which extends to the heart, lungs, and digestive organs, plays a major role in autonomic functions. Any disruption in its bioelectric activity may cause irregular autonomic responses, muscular tension, and imbalances in insulin, cortisol, and other metabolic hormones.

[0033] The accessory nerve (cranial nerve XI), extending through the neck and shoulders, controls movement in these regions. A decline in its signal transmission may result in weakness or increased stiffness in the shoulder and neck muscles, indirectly affecting stress-related hormone levels by influencing posture and breathing patterns. Similarly, the hypoglossal nerve (cranial nerve XII), responsible for tongue movement, depends on bioelectric signals for proper motion and coordination. A compressed or constricted nerve can lead to speech difficulties, swallowing issues, and changes in hormonal feedback mechanisms that regulate metabolic and digestive functions.

[0034] Thus, the processing device 106 determines constriction level and health of the nerves (associated with the midbrain) extending through the body parts of the user based on the captured physiological attributes and the bioelectrical signals generated by the nerves in these body parts.

[0035] In an embodiment, referring to FIG. 5, the bioelectric signal sensing device 102, can be an electro-point detector (also designated as 102, herein), which is a compact, handheld tool designed to detect and analyze electrical signals generated by nerves or central nervous system across various body parts in thehuman body. Unlike bulky medical-grade systems like EEG, ECG, or EMG machines, an electro-point detector is portable, user-friendly, and affordable, making it accessible for personal use, wellness monitoring, and therapeutic applications. Besides, the electro-point detector 102 does not emit any harmful radiation, relying purely on passive sensing to capture bioelectric signals from the skin surface. This makes it safe for frequent use without health risks.

[0036] The electro-point detector 102 includes a conductive contact point or electrodes 502 that make direct contact with the skin to capture electrical signals generated by the nerves associated with different body parts of the human body. The conductive contact point or electrodes 502 are connected to a signal conditioning circuit 504, which filters out noise and enhances the signal quality. The processed signals are then amplified to ensure accurate detection, as raw bioelectric signals are typically in the microvolt range and can be easily distorted by external interference. Once amplified, the signals pass through an analog-to-digital converter (ADC) 506, which converts them into digital data for further analysis. In addition, the electro-point detector may include a light indicator 508, a small display for immediate feedback, or an audio or haptic alert system to indicate the capture electrical signals generated by the nerves associated with different body parts of the human body.

[0037] The electro-point detector 102 is controlled by an integrated microprocessor or microcontroller 510 that processes the digitized signals in real time. However, the electro-point detector may send the digitized signals to the processing device 106 via the network 110 for further processing and analyzing. Further, the electro-point detector 102 includes a communication module 512 that can include any or a combination of Bluetooth module, NFS Module, WIFI module, transceiver, and wired media, but not limited to the likes, which can enable a communication channel between the electro-point detector 102 and the processing device 106.

[0038] In an embodiment, referring to FIG. 6, the muscle stiffness sensing device 104 can be designed as a compact, iron-steel pen equipped with a pressure sensor to detect variations in muscle tension. This handheld device 104 is ergonomically designed for easy gripping and can be moved smoothly over different body parts to monitor muscle stiffness in real time. However, in other embodiments, the muscle stiffness sensing device 104 can be designed as acompact, iron-steel pen without a pressure sensor 602, where a user can feel and estimate the stiffness of the muscles while moving the iron-steel pen over the muscles. Unlike traditional stiffness measurement tools that rely on complex setups or invasive procedures, this pen-like device offers a non-invasive, radiation-free, and highly portable solution for individuals seeking quick and accurate muscle condition assessments.

[0039] The muscle stiffness sensing device 104 includes the pressure sensor 602 embedded within the iron-steel pen structure. As the pen moves over different body areas, the pressure sensor 602 measures resistance and variations in muscle tension by detecting the force required to compress the underlying tissues. These readings are then transmitted to an internal signal processing circuit 604, which filters and refines the data to remove noise and external interference. To ensure accurate assessment, an amplification stage enhances the signals before they are digitized by an analog-to-digital converter (ADC) 606 and sent to the microcontroller 608 for further analysis. The microcontroller 608 processes the digitized signals and translates them into meaningful stiffness metrics. The device 104 may provide instant feedback through a light indicator 610, a small display, haptic vibrations, or wireless transmission to a smartphone or computer for detailed analysis. Further, the muscle stiffness sensing device 104 includes a communication module 612 that can include any or a combination of Bluetooth module, NFS Module, WIFI module, transceiver, and wired media, but not limited to the likes, which can enable a communication channel between the electro-point detector 102 and the processing device 106

[0040] In another embodiment, the muscle stiffness sensing device 104 can also be a handheld, portable tool that can include specialized sensors that detect biomechanical and bioelectric signals related to muscle tension. These sensors can be based on electromyography (EMG), myotonometry, or mechanomyography (MMG), depending on the technology used. The collected signals are sent to a signal conditioning circuit, which filters out noise and enhances data accuracy. Since muscle activity signals are often weak and prone to interference, an amplification stage is included to ensure the signals are strong enough for proper analysis. Once amplified, the data is digitized using an analog-to-digital converter (ADC). Further, a built-in microcontroller or microprocessor interprets the digitized signals and analyzes muscle stiffness patterns in real-time.

[0041] In an example, a fully functional nerve without constriction conducts signals efficiently, ensuring smooth communication between the nervous system and muscles. The bioelectric signal sensing device 102 captures stable action potential amplitudes ranging from 50 to 100 microvolts, with a conduction velocity between 50 to 70 meters per second. There are no irregular spikes or delays in signal transmission. Further, the muscle stiffness sensing device 104 detects a relaxed muscle state with minimal resistance, requiring approximately 1 to 3 Newtons of applied pressure. The corresponding stiffness values range between 10 to 40 kilopascals, indicating normal elasticity and flexibility in the muscle.

[0042] In another example, with mild nerve constriction, slight disturbances appear in signal transmission, including minor reductions in amplitude and occasional irregularities. The bioelectric signal sensing device 102 detects amplitudes dropping to a range of 30 to 60 microvolts, with conduction velocity decreasing to around 40 to 55 meters per second. Further, the muscle stiffness sensing device 104 registers an increase in muscle tightness, requiring about 3 to 5 Newtons of pressure to measure stiffness, with values rising to approximately 40 to 60 kilopascals. This indicates early-stage muscle tension due to impaired nerve function.

[0043] In yet another example, moderate nerve constriction results in further signal weakening and a notable reduction in conduction efficiency. The bioelectric signal sensing device 102 records action potential amplitudes declining to 10 to 30 microvolts, with conduction velocity slowing to 30 to 40 meters per second. Signal irregularities become more prominent, showing delayed or fragmented transmission. Further, the muscle stiffness sensing device 104 detects significant resistance in the surrounding muscle, requiring 5 to 7 Newtons of applied pressure, with stiffness values reaching between 60 to 90 kilopascals. The affected muscle exhibits increased rigidity and reduced flexibility due to compensatory tension.

[0044] In another example, severe nerve constriction leads to significant impairment, with bioelectric signal amplitudes dropping below 10 microvolts and conduction velocity slowing further to less than 30 meters per second. The nerve struggles to transmit signals effectively, showing erratic patterns or prolonged delays. Further, the muscle stiffness sensing device 104 registers extreme muscle tightness, requiring 7 to 10 Newtons of applied pressure, with stiffness values exceeding 90 kilopascals. The muscle becomes notably rigid, restricting movementand potentially leading to pain or dysfunction. A completely blocked nerve exhibits a near-total loss of bioelectric activity, with the sensing device detecting amplitudes close to zero microvolts and conduction velocity falling below 10 meters per second or becoming undetectable. The affected nerve fails to transmit signals, leading to potential muscle atrophy over time. The muscle stiffness sensing device 104 registers severe rigidity, requiring more than 10 Newtons of applied pressure, with stiffness values exceeding 100 kilopascals. The muscle may become completely stiff or unresponsive due to prolonged inactivity and nerve failure.

[0045] In an implementation, foot reflexology and hand reflexology as shown in FIGs. 3A to 4B may be employed as a non-invasive approach to measuring bioelectric signals and muscle stiffness, allowing for a comprehensive assessment of midbrain-associated nerves. The foot and palm contain reflex points R1 to Rn as shown in FIGs. 3A and 4A respectively correspond to different organs and nerve pathways, making them ideal locations for applying bioelectric signal sensing and stiffness measurement devices. By targeting specific reflex zones R1 to Rn as shown in FIGs. 3B and 4B, these devices 102, 104 can capture nerve activity and muscular response, providing insights into potential nerve constrictions and their impact on the body. Similarly, the reflexology associated with other body parts may also be employed for measuring bioelectric signals and muscle stiffness, allowing for a comprehensive assessment of midbrain-associated nerves.

[0046] The bioelectric signal sensing device 102, when applied to key reflex points R1 to Rn on the foot 300 and hand 400, can detect nerve conduction efficiency and variations in electrical activity. Each reflex point R1 to Rn is linked to a specific nerve or organ, meaning a disruption in signal amplitude or conduction velocity may indicate an issue with the corresponding nerve extending from the midbrain. For instance, reflex points along the base of the toes correspond to cranial nerves such as the oculomotor and trochlear nerves, while regions along the arch of the foot are associated with vagus nerve activity. Similarly, areas on the palm and fingertips are directly connected to facial, trigeminal, and hypoglossal nerve functions. By recording and analyzing signal strength at these points, it becomes possible to detect early signs of nerve constriction and related dysfunctions.

[0047] Muscle stiffness measurement through reflexology-based assessment involves applying the muscle stiffness sensing device 104 to the same key reflex zones on the foot and hand. When a nerve is healthy, the surrounding muscle tissuesrespond with optimal flexibility, requiring minimal pressure to assess stiffness. However, if a nerve is constricted or impaired, the corresponding reflex point may exhibit increased resistance and rigidity, necessitating greater force to register a reading. For example, excessive muscle tightness in the reflex points associated with the glossopharyngeal or vagus nerve may indicate disruptions in autonomic nervous system functions, which could further influence hormonal imbalances.

[0048] Thus, by integrating reflexology with bioelectric signal and muscle stiffness assessments, a highly effective diagnostic framework can be established. This method enables direct evaluation of midbrain-associated nerves without the need for invasive procedures, offering a portable and accessible way to monitor neuromuscular health. Reflexology-based measurements can provide valuable data for tracking nerve function over time, identifying early signs of dysfunction, and guiding therapeutic interventions to restore neural, muscular, and hormonal balance.

[0049] In addition to bioelectric signal sensing and muscle stiffness measurement, the proposed system 100 uses physiological attributes such as voice pattern, breathing rate, pulse, and blood pressure to provide further insights into nerve health and associated diseases. Since the nervous system controls various autonomic and motor functions, any disruption in nerve conductivity can manifest through changes in these physiological parameters. By analyzing these attributes, it becomes possible to detect early signs of nerve dysfunction and related health conditions, offering a more comprehensive assessment of the body’s overall neurological state.

[0050] Voice pattern analysis can reveal abnormalities in the function of nerves such as the vagus and hypoglossal nerves, which control vocal cord movement and tongue coordination. A weakened or hoarse voice may indicate nerve constriction affecting vocal fold function, while irregularities in speech rhythm may signal impaired motor control. Breathing rate is another critical indicator, as the vagus and accessory nerves influence respiratory function. Irregular or shallow breathing can be a sign of autonomic dysfunction or neuromuscular issues affecting lung capacity. Similarly, pulse rate and blood pressure are regulated by the autonomic nervous system, primarily controlled by the vagus and glossopharyngeal nerves. Abnormalities such as high blood pressure, arrhythmia, or low heart rate variability can suggest nerve dysfunction affectingcardiovascular regulation. As a result, by integrating these physiological attributes with bioelectric and stiffness measurements, a more precise and early detection system for nerve-related disorders, including heart conditions, metabolic imbalances, and neurological diseases, can be developed.

[0051] It is to be appreciated that by detecting nerve constriction through bioelectric signal sensing, muscle stiffness, and physiological attributes measurement using the proposed system 100 provides valuable insights into potential dysfunctions in human organs, hormonal imbalances, and various health conditions. Since nerves extending from the midbrain regulate key physiological functions, any disruption in their conductivity can directly affect corresponding organs and systems. By assessing the level of constriction in these nerves, it becomes possible to detect existing as well as early signs of disorders and prevent severe medical conditions.

[0052] In an example, when the oculomotor nerve (cranial nerve III) exhibits decreased bioelectric signal strength, it may indicate impaired eye muscle control, leading to symptoms such as blurred vision and drooping eyelids. Stiffness in the muscles surrounding the eye can confirm nerve dysfunction, which can also affect autonomic responses like pupil dilation. If the constriction level is severe, it could indicate underlying neurological imbalances, possibly affecting melatonin secretion and disrupting the sleep-wake cycle.

[0053] In another example, constriction in the trigeminal nerve (cranial nerve V) can be identified through erratic bioelectric signals and increased jaw muscle stiffness, suggesting conditions such as trigeminal neuralgia or temporomandibular joint (TMJ) disorders. Since this nerve influences stress responses, its dysfunction may lead to excessive adrenaline release, contributing to chronic stress, hypertension, and digestive issues linked to the vagus nerve.

[0054] In yet another example, if the facial nerve (cranial nerve VII) shows weak bioelectric signals and increased muscle stiffness, it may indicate early signs of Bell’ s palsy or partial facial paralysis. This dysfunction can also disrupt serotonin and dopamine regulation, leading to mood disorders such as anxiety or depression.

[0055] In another example, constriction in the vagus nerve (cranial nerve X) is a key indicator of autonomic dysfunction, which can lead to serious health issues such as irregular heart rate, acid reflux, and difficulty breathing. Weak bioelectric signals from this nerve, combined with excessive muscle stiffness around the throatand abdominal reflex points, may suggest impaired parasympathetic control. Since the vagus nerve regulates heart function, its constriction can contribute to arrhythmias and increase the risk of heart-related conditions. Severe dysfunction in this nerve can also affect insulin and cortisol regulation, leading to metabolic disorders such as diabetes.

[0056] In yet another example, a constricted glossopharyngeal nerve (cranial nerve IX) can be identified by weak bioelectric activity in reflex points related to swallowing and taste, potentially indicating dysphagia and blood pressure irregularities. Increased muscle stiffness in associated regions can further confirm restricted nerve function, suggesting disruptions in thyroid hormone regulation, which directly affects metabolism and energy levels.

[0057] In another example, when the accessory nerve (cranial nerve XI) exhibits reduced bioelectric signal strength and increased stiffness in the neck and shoulders, it may indicate chronic tension, restricted mobility, and postural imbalances. This nerve is particularly relevant in detecting spondylitis, a degenerative condition affecting the cervical spine. Constriction in the accessory nerve, combined with high stiffness readings in surrounding muscles, can signal early onset cervical spondylitis, which may lead to nerve compression, pain, and reduced flexibility in the upper body. Since spondylitis can also affect blood circulation and nerve conduction in the spinal column, early detection through bioelectric sensing can help in managing the condition before severe complications arise.

[0058] Further, in another example, constriction in the hypoglossal nerve (cranial nerve XII), identified through abnormal bioelectric signals and increased stiffness in the tongue muscles, may indicate early signs of speech and swallowing difficulties. If the constriction level is severe, digestive inefficiencies may develop due to improper saliva production and inadequate food breakdown. This, in turn, can lead to disruptions in metabolic hormones such as insulin and ghrelin, which regulate hunger and energy balance.

[0059] Thus, by systematically measuring nerve constriction levels through bioelectric signal sensing and muscle stiffness / physiological attributes analysis, already existing and / or early warning signs of various disorders, and metabolic imbalances can be detected.

[0060] In addition, the system 100 or processing device 106 can be in communication with registered mobile devices 114 associated with one or more users. The processing device 106 can be configured to allow the users to send, using the registered mobile devices 114, the data associated with the physiological attributes and bioelectric signals to the processing device 106. Further, the processing device 106 can be configured to generate and display the data processed and finally generated by the processing device 106 on the corresponding mobile devices 114.

[0061] In an exemplary embodiment, the communication module of the processing device 106 can include any or a combination of Bluetooth module, NFS Module, WIFI module, transceiver, and wired media, but not limited to the likes.

[0062] Referring to FIG. 2, the processing device 106 comprises one or more processors 202 coupled to a memory 204 storing instructions executable by the processors 202, which causes the processing device 106 to perform one or more designated operations. The processing device 106 also comprises an interface(s) 206. The interface(s) 206 comprises a variety of interfaces, for example, interfaces 206 for data input and output devices referred to as I / O devices, storage devices, and the like. The interface(s) 206 facilitates communication of the processing device 106 with the input devices 102, 104, database 108, mobile devices 114, and a server, coupled to the processing device 106. The interface(s) 206 also provides a communication pathway for one or more components of the processing device 106. Examples of such components include, but are not limited to, processing engine(s) 208 and database 108. Further, the processing device 106 may include a hardware or a software, or a combination of both.

[0063] In an embodiment, the processing device 106 can be configured to systematically analyze bioelectrical signals and physiological attributes to assess the health of nerves and detect constriction levels. This process involves multiple steps, ensuring accurate identification of affected nerves and their locations on the body.

[0064] The processing device 106 can first capture or receive data pertaining to real-time physiological attributes such as stiffness of muscles, voice pattern, breathing rate, pulse, and blood pressure, along with bioelectrical signals from various body parts. These signals are collected using bioelectric signal sensing, muscle stiffness measurement devices, and other input devices 102, 104 such asoximeter, pulse meter, blood pressure monitor, and microphone. The captured data can then be processed by the processing device 106 to extract key bioelectric attributes, including amplitude, frequency, conduction velocity, impedance variation, and phase delay. These attributes provide a detailed understanding of how electrical impulses travel through the nerves and how muscle stiffness is affected by nerve function.

[0065] Once extracted, the processing device 106 can compare the bioelectric attributes and physiological parameters compared against a database 108 containing predetermined baseline values for both healthy and unhealthy nerves. These baselines can be derived from known medical data, experimental studies, or machine learning models trained on previous patient records. The processing device 106 can then evaluate deviations from these baseline values to determine the extent of nerve constriction. If a nerve exhibits a bioelectric attribute variation exceeding a certain threshold, such as reduced conduction velocity or increased impedance can indicate an abnormal constriction level. Similarly, irregularities in physiological parameters, such as a sudden drop in pulse rate or erratic breathing patterns, may further confirm nerve dysfunction.

[0066] The processing device 106 can then identify specific nerves that exhibit a constriction level higher than the predefined threshold, marking them as potentially affected. Based on the bioelectric and muscle stiffness readings, the processing device 106 determines the exact locations or target points on the body where these constricted nerves are present. This is particularly useful in pinpointing problem areas without requiring invasive procedures. The device can also analyze patterns of nerve constriction across multiple points to assess the overall neurological health of the individual.

[0067] In some embodiments, to enhance accuracy, the processing device 106 can employ machine learning algorithms to refine its analysis, continuously updating its baseline database 108 with new data collected from users. Further, the processing device 106 can also use cross-validation techniques to compare readings from multiple measurement points on the body, ensuring consistency in detecting nerve constriction. Additionally, time-series analysis can be used to track changes in bioelectrical attributes over time, allowing for early detection of progressive nerve damage.

[0068] Referring back to FIGs. 1A to 2, the proposed system 100 can also facilitate targeted therapeutic intervention to reduce the severity of midbrain-related nerve and organs dysfunction. In an implementation, once the processing device 106 identifies constricted nerves and their precise locations on the user's body through bioelectric signal sensing and muscle stiffness analysis, it enables marking of these locations on the skin using a marker or a projector device. This marking helps in guiding therapeutic actions such as applying pressure, creating vacuum, or delivering controlled heat to alleviate nerve constriction.

[0069] In an embodiment, the system 100 includes one or more output devices 112 comprising any or a combination of a multi massager device 112-1, a vacuum cup 112-2, and a heating pad 112-3, which enables application of the pressure, vacuum, and / or heat on the identified locations to reduce the constriction level in the identified set of nerves.

[0070] The processing device 106 can determine the suitable intervention based on the severity of the constriction. For mild nerve constriction, the processing device 106 may recommend the application of gentle pressure using a mechanical or manual technique, such as acupressure or massage therapy. If the constriction level is moderate to severe, the processing device 106 can enable the creation of vacuum at the identified locations. This method, similar to cupping therapy, helps in improving blood circulation, reducing muscle stiffness, and enhancing nerve conductivity. In cases where deeper tissue relaxation is required, the processing device 106 may allow controlled heat application along with massage therapy and vacuum cupping therapy to the affected area, which can help relax surrounding muscles, improve blood flow, and facilitate nerve decompression, thereby reducing or completely eliminating the severity of midbrain-related nerve and organs dysfunction.

[0071] To optimize therapeutic intervention, the processing device 106 can be configured to determine the precise parameters for each therapeutic method. The processing device 106 can be configured to calculate the intensity and frequency of pressure to be applied during the massage therapy based on the constriction level. Further, if vacuum therapy is required, the processing device 106 can be configured to determine the appropriate suction intensity and coverage area to ensure effective relief without causing discomfort. Furthermore, for heat application, the processing device 106 can be configured to identify the optimal temperature level and duration,ensuring that the applied heat is sufficient to relieve nerve constriction without exceeding safe limits.

[0072] In some embodiment, the processing device 106 can use real-time feedback from bioelectric signals and muscle stiffness readings to adjust the intervention dynamically, ensuring continuous monitoring and modification of therapy as needed. Additionally, the processing device 106 can store user-specific treatment data, allowing for personalized therapy plans that adapt over time based on the effectiveness of previous interventions.

[0073] In an implementation, for mild nerve constriction (constriction level: 0-20% deviation from baseline values), massage therapy with a pressure range of 50-100 mmHg can be applied at the identified location for 2-5 minutes per session, 2-3 times per day. Further, if vacuum therapy is required, the suction pressure can be set between -50 to -100 mmHg, applied for 3-5 minutes per session. Furthermore, heat therapy can be applied at a temperature of 38-4O°C for 5-7 minutes, ensuring no bums or discomfort occur.

[0074] For moderate nerve constriction (constriction level: 20-50% deviation from baseline values), massage therapy pressure may be increased to 100-250 mmHg for 5-7 minutes per session, 2-4 times per day. Further, vacuum therapy suction pressure can range from -100 to -250 mmHg, applied for 5-7 minutes per session to stimulate circulation and nerve relaxation. Furthermore, heat therapy can be administered at 40-42°C for 7-10 minutes per session to help relax the surrounding muscles and improve nerve conductivity.

[0075] For severe nerve constriction (constriction level: 50-80% deviation from baseline values), deep tissue massage pressure of 250-400 mmHg can be applied for 7-10 minutes per session, 3-5 times per day, targeting specific points associated with the affected nerve. Further, vacuum cupping can be increased to -250 to -500 mmHg, with each session lasting 7-10 minutes, ensuring the suction does not cause discomfort or bruising. Furthermore, heat therapy can be set at 42-45 °C for 10-12 minutes per session to deeply penetrate the tissue and reduce nerve tension.

[0076] For critical nerve constriction (constriction level: above 80% deviation from baseline values), controlled therapy should be used cautiously under expert supervision. Massage pressure of 400-600 mmHg can be applied for 10-12 minutes per session, focusing on releasing deeper constrictions. Further, vacuumtherapy at -500 to -700 mmHg may be used for 10-15 minutes, provided there is no risk of excessive tissue damage. Furthermore, heat therapy at 45-48°C for 12-15 minutes can be applied, ensuring continuous monitoring to prevent bums or excessive tissue relaxation.

[0077] In an example, for specific target nerves, such as the vagus nerve (affecting digestion, heart rate, and respiration), the preferred approach includes light pressure massage (50-150 mmHg), gentle vacuum therapy (-50 to -150 mmHg), and mild heat (38-42°C) to avoid overstimulation. In contrast, for sciatic nerve constriction, a stronger therapeutic approach with higher pressure massage (200-500 mmHg), deeper vacuum (-200 to -500 mmHg), and increased heat (42-45 °C) may be required to alleviate lower back and leg pain.

[0078] It is to be appreciated by a person skilled in the art that these values and duration / frequency are exemplary and may be adjustments based on patientspecific conditions, nerve sensitivity, and real-time feedback from the bioelectric signal sensing and muscle stiffness measurement devices, and all such variations and embodiments are well within the scope of the present invention without any limitation.

[0079] Thus, this invention provides an innovative, non-invasive solution to assess midbrain function and the associated nervous system, by developing a simple yet advanced, safe, and cost-effective diagnostic and therapeutic system and method that may detect existing as well as early signs of neural dysfunction associated with the midbrain and various diseases, restore physiological balance in human body, and improve overall human health.

[0080] It is to be appreciated by a person skilled in the art that while various embodiments of the present disclosure elaborate upon the implementation of this invention for nerves associated with midbrain of the central nervous system, however, the system has wider applications in other sections of the central nervous system, and all such embodiments are well within the scope of the present disclosure, without any limitations.

[0081] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are comprised to enable a person having ordinary skill in the artto make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.ADVANTAGES OF THE INVENTION

[0082] The present invention provides a solution for assessing midbrain function and its role in physiological balance.

[0083] The present invention identifies and corrects disturbances in the midbrain and associated nerves that may lead to imbalances in nutrient metabolism, blood circulation, and hormonal regulation.

[0084] The present invention provides a non-invasive technique for evaluating nerve health without the need for expensive and harmful radiation-based equipment.

[0085] The present invention helps improve blood flow, nutrient transport, hormonal secretion, and oxygen delivery through better midbrain function analysis.

[0086] The present invention facilitates early detection of midbrain-related neural dysfunction and diseases and provides corrective measures for restoring physiological balance and curing the identified diseases.

[0087] The present invention provides an effective, affordable, and accessible solution for maintaining overall human health by enhancing midbrain research and intervention methodologies.

Claims

CLAIMSWe Claim:

1. A system (100) for assessing and regulating midbrain nerve function, the system (100) comprising:one or more input devices (102, 104); anda processing device (106) in communication with the one or more input devices (102, 104), the processing device (106) configured to:capture, using the one or more input devices (102, 104), data pertaining to physiological attributes and bioelectrical signals generated across one or more body parts of the user, wherein the physiological attributes comprise at least a stiffness of muscles associated with the one or more body parts of the user; and determine constriction level and health of a plurality of nerves extending through the one or more body parts of the user based on the captured physiological attributes and the bioelectrical signals,wherein the plurality of nerves is associated with a mid-brain of the user.

2. The system (100) as claimed in claim 1 , wherein the physiological attributes further comprise voice pattern, breathing rate, pulse, and blood pressure of the user.

3. The system (100) as claimed in claim 2, wherein the processing device (106) is configured to:compare the captured physiological attributes and the bioelectrical signals of the user with a database storing predetermined baselines associated with physiological attributes and bioelectrical signals generated by body parts of known healthy and unhealthy nerves of a human body; and determine the constriction level and the health of the plurality of nerves of the user based on the comparison.

4. The system (100) as claimed in claim 3, wherein the processing device (106) is configured to:extract bioelectric attributes comprising any or a combination of an amplitude, frequency, conduction velocity, impedance variation, and phase delay, from the generated bioelectrical signals; andcompare the extracted bioelectric attributes with the predetermined baselines associated with known bioelectric attributes pertaining to bioelectrical signals generated by the body parts of the known healthy and unhealthy nerves and correspondingly determine the constriction level and the health of the plurality of nerves of the user.

5. The system (100) as claimed in claim 1, wherein the processing device (106) is configured to:identify a set of nerves, among the plurality of nerves, having the constriction level higher than a threshold level; andidentify locations on the one or more body parts having the identified set of nerves.

6. The system (100) as claimed in claim 5, wherein the processing device (106) is configured to:enable marking of target points on a skin of user at the identified locations; andenable application of pressure, creation of vacuum, and / or application of heat for a predetermined time and at a predetermined frequency on the target points to reduce the constriction level in the identified set of nerves.

7. The system (100) as claimed in claim 6, wherein the processing device (106) is configured to determine an intensity and frequency of the pressure to be applied, an area and intensity of vacuum to be created, and a temperature level of the heat to be applied on the identified locations based on the determined constriction level and health of the plurality of nerves.

8. The system (100) as claimed in claim 5, wherein the system comprises one or more output devices comprising any or a combination of a multi massager device (112-1), a vacuum cup (112-2), and a heating pad (112-3), whichenables application of the pressure, vacuum, and / or heat on the identified locations to reduce the constriction level in the identified set of nerves.

9. The system (100) as claimed in claim 1, wherein the one or more input devices (102, 104) comprises an electro point detector (102) comprising one or more bioelectric sensors, wherein the electro point detector (102) is adapted to be gripped and moved over the one or more body parts of the user, and operable to monitor the bioelectrical signals generated by the one or more body parts.

10. The system (100) as claimed in claim 1, wherein the one or more input devices (102, 104) comprises an iron steel pen (104) with pressure sensor, wherein the iron steel pen (104) is adapted to be gripped and moved over the one or more body parts of the user, which upon movement over the corresponding body parts enables monitoring the stiffness of the muscles.

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