A NON-INVASIVE DIAGNOSTIC DEVICE FOR IDENTIFYING MYOFASCIAL TRIGGER POINTS USING OPTICAL DETECTION METHODS

Abstract

The present invention relates to a non-invasive diagnostic device designed to accurately identify myofascial trigger points within skeletal muscle tissue. Utilizing principles adapted from pulse oximetry, the device employs a combination of multi-wavelength light emitters and photo detectors to analyze tissue characteristics associated with pain and dysfunction. A pressure application mechanism applies consistent pressure to suspected trigger points while simultaneously measuring variations in light absorption. These measurements, processed by a microprocessor, allow for real-time assessment of trigger point presence and severity. The device facilitates targeted treatment planning for healthcare professionals and enables ongoing monitoring of treatment effectiveness. This innovative approach not only enhances diagnostic accuracy but also provides an accessible tool for both clinical settings and home use, promoting better pain management strategies and improved patient outcomes.

Specification

Description:[0017].The following description provides specific details of certain aspects of the disclosure illustrated in the drawings to provide a thorough understanding of those aspects. It should be recognized, however, that the present disclosure can be reflected in additional aspects and the disclosure may be practiced without some of the details in the following description.
[0018].The various aspects including the example aspects are now described more fully with reference to the accompanying drawings, in which the various aspects of the disclosure are shown. The disclosure may, however, be embodied in different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure is thorough and complete, and fully conveys the scope of the disclosure to those skilled in the art. In the drawings, the sizes of components may be exaggerated for clarity.
[0019].It is understood that when an element or layer is referred to as being "on," "connected to," or "coupled to" another element or layer, it can be directly on, connected to, or coupled to the other element or layer or intervening elements or layers that may be present. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
[0020].The subject matter of example aspects, as disclosed herein, is described with specificity to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventor/inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different features or combinations of features similar to the ones described in this document, in conjunction with other technologies.
[0021].The present invention relates to a non-invasive diagnostic device designed to accurately identify myofascial trigger points within skeletal muscle tissue. Utilizing principles adapted from pulse oximetry, the device employs a combination of multi-wavelength light emitters and photodetectors to analyze tissue characteristics associated with pain and dysfunction. A pressure application mechanism applies consistent pressure to suspected trigger points while simultaneously measuring variations in light absorption. These measurements, processed by a microprocessor, allow for real-time assessment of trigger point presence and severity. The device facilitates targeted treatment planning for healthcare professionals and enables ongoing monitoring of treatment effectiveness. This innovative approach not only enhances diagnostic accuracy but also provides an accessible tool for both clinical settings and home use, promoting better pain management strategies and improved patient outcomes.
[0022].Myofascial pain syndrome (MPS) is a prevalent condition that affects a significant portion of the population, often resulting in chronic pain, reduced mobility, and diminished quality of life. Central to MPS are myofascial trigger points (MTrPs), which are defined as hyperirritable spots within the fascia surrounding skeletal muscles. These trigger points are often palpable as taut bands and can produce localized and referred pain, muscle tightness, and functional impairment. The complex nature of MTrPs poses challenges for accurate diagnosis and effective treatment, underscoring the necessity for improved diagnostic methodologies.
[0023].Traditional diagnostic approaches primarily involve manual palpation, where clinicians rely on their tactile skills to identify trigger points. This method, while widely used, is inherently subjective and may lead to variability in diagnoses based on the clinician's experience and skill level. Additionally, manual palpation does not provide quantifiable data, making it difficult to assess the severity of the trigger points or monitor changes over time. This subjectivity and lack of standardization in diagnosing MTrPs can result in misdiagnoses and ineffective treatment plans, ultimately prolonging patient suffering.
[0024].Alternative diagnostic methods, such as pressure algometry, utilize devices to apply a specific force to the muscle and measure pain threshold; however, these techniques can be cumbersome and require a trained operator. Advanced imaging techniques, including ultrasound and elastography, offer insights into muscle structure and tension but necessitate specialized training, expensive equipment, and may be impractical for everyday clinical use. Furthermore, these methods often fail to provide immediate feedback on muscle response to treatment, hindering the ability to adapt therapeutic interventions in real-time.
[0025].Given the limitations of existing diagnostic tools, there is a compelling need for a more accurate, reliable, and non-invasive device that can effectively identify and quantify myofascial trigger points. The ideal diagnostic solution would utilize advanced optical detection technologies to assess the tissue properties associated with MTrPs, providing healthcare professionals with immediate, actionable data. Such a device would not only enhance diagnostic precision but also allow for the continuous monitoring of treatment efficacy, leading to more tailored and effective pain management strategies.
[0026].The invention presented herein addresses these critical gaps in the current diagnostic landscape by integrating optical detection methods inspired by pulse oximetry with a pressure application mechanism. This novel approach allows for simultaneous assessment of tissue characteristics, including blood flow and elasticity, while delivering consistent pressure to suspected trigger points. By correlating optical data with physical responses, this device promises to revolutionize the diagnosis and treatment of myofascial pain, making it accessible for both clinicians and patients. Ultimately, this innovation aims to improve patient outcomes, enhance treatment efficacy, and foster a better understanding of the underlying mechanisms of myofascial pain.
[0027].The Trigger Point Sensor is an advanced diagnostic device meticulously engineered to identify and evaluate myofascial trigger points (MTrPs) within skeletal muscle tissue. Myofascial pain syndrome (MPS), characterized by the presence of these hyperirritable spots, often leads to chronic pain and functional limitations. Existing diagnostic methods frequently rely on subjective assessments, such as manual palpation, which can result in inconsistencies and misdiagnoses. The Trigger Point Sensor addresses this critical need by providing a non-invasive, objective solution that integrates cutting-edge optical detection technologies with sophisticated data analysis.
[0028].Central to the functionality of the Trigger Point Sensor is its innovative use of multiple light-emitting diodes (LEDs). These LEDs are specifically selected to emit light at various wavelengths, including red and infrared, which have been shown to penetrate biological tissues effectively. When the device is applied to the skin overlying the suspected trigger point, the LEDs emit light that interacts with the underlying muscle and fascia. The absorption and scattering of this light depend on the physiological state of the tissue, allowing for a nuanced analysis of its characteristics. Healthy muscle tissue and trigger points exhibit distinct absorption profiles; the device capitalizes on these differences to provide accurate assessments.
[0029].The device is equipped with a high-sensitivity photodetector that captures the intensity of light that emerges from the tissue after interaction with the emitted light. This photodetection system enables the device to record real-time data on how different tissues respond to the light exposure. By continuously monitoring these light intensity changes, the device can detect subtle variations that signify alterations in blood flow, tissue density, and elasticity-key indicators of the presence of MTrPs.
[0030].In addition to optical detection, the Trigger Point Sensor incorporates a pressure application mechanism. This feature applies consistent and controlled pressure to the tissue at the trigger point, an essential aspect of the assessment process. The application of pressure not only aids in locating the trigger points but also elicits physiological responses that can provide valuable insights into the severity of pain experienced by the patient. The combination of optical data and pressure sensitivity allows for a comprehensive evaluation of the tissue, enabling healthcare professionals to make informed decisions regarding treatment.
[0031].To enhance the diagnostic capabilities of the device, a microprocessor is integrated into the system, which plays a crucial role in processing the signals obtained from the photodetector. This microprocessor analyzes the light intensity ratios across different wavelengths, identifying specific patterns that correlate with the presence and characteristics of trigger points. Advanced algorithms interpret these data points, allowing the device to generate a real-time assessment of the tissue's condition and provide actionable insights for clinicians.
[0032].Moreover, the inclusion of vibration or movement sensors within the device significantly enriches its functionality. These sensors can detect involuntary muscle contractions or reflexive movements that occur in response to pressure application, providing further evidence of pain and tissue dysfunction. This multi-faceted approach to data collection and analysis enables the Trigger Point Sensor to deliver a holistic view of the patient's condition, fostering improved diagnostic accuracy.
[0033].The Trigger Point Sensor is designed with versatility in mind, making it suitable for various healthcare settings, including physiotherapy clinics, chiropractic offices, sports medicine facilities, and pain management practices. Its user-friendly interface allows healthcare providers to seamlessly operate the device, making it an invaluable addition to any pain management toolkit. By facilitating the precise identification of trigger points, the device supports targeted treatment strategies, which may include massage therapy, dry needling, or stretching exercises, ultimately enhancing patient outcomes.
[0034].In addition to its clinical applications, the Trigger Point Sensor holds significant potential for home use. A consumer-friendly version of the device empowers patients to monitor their own trigger points in the comfort of their homes. This capability not only promotes patient engagement in their own healthcare but also enables them to provide valuable data to healthcare providers during telemedicine consultations. Such remote monitoring capabilities are increasingly vital in today's healthcare landscape, allowing for continuity of care and timely interventions.
[0035].In summary, the Trigger Point Sensor represents a significant leap forward in the field of myofascial pain diagnosis and management. By integrating advanced optical detection technologies with a non-invasive pressure application mechanism, this innovative device addresses the critical need for accurate and objective identification of myofascial trigger points. Its ability to assess tissue characteristics associated with pain not only enhances diagnostic precision but also empowers healthcare providers with real-time data to inform targeted treatment strategies.
[0036].The versatility of the Trigger Point Sensor makes it applicable across various healthcare settings, from physiotherapy and chiropractic care to sports medicine and pain management. Furthermore, the potential for home use facilitates patient engagement and empowers individuals to monitor their own conditions, promoting a proactive approach to pain management. As such, the Trigger Point Sensor not only has the potential to improve clinical outcomes but also to transform the patient experience by providing accessible, reliable, and effective pain assessment tools.
[0037].In conclusion, the Trigger Point Sensor represents a groundbreaking advancement in the diagnosis and management of myofascial pain syndrome. By leveraging state-of-the-art optical detection methods combined with pressure sensitivity, this device enhances the accuracy and reliability of trigger point identification. Its innovative design not only streamlines the diagnostic process but also facilitates personalized treatment approaches, ultimately improving patient care and outcomes. The Trigger Point Sensor stands at the forefront of a new era in myofascial pain management, paving the way for better understanding and treatment of this pervasive condition. , Claims:1.A diagnostic device for identifying myofascial trigger points in skeletal muscle tissue, comprising:
a) A light emitter configured to emit light at multiple wavelengths, including red and infrared;
b) A photo detector configured to detect the intensity of light after interaction with the tissue;
c) A pressure application mechanism that applies consistent pressure to the tissue;
d) A microprocessor for processing signals received from the photo detector and determining pain indicators based on the optical data;
e) A display unit for presenting the identified trigger points and associated pain levels to a user.
2.The device as claimed in claim 1, wherein the light emitter comprises a plurality of light-emitting diodes (LEDs) operating at predetermined wavelengths suited for differentiating tissue characteristics associated with trigger points.
3.The device as claimed in claim 1, further including vibration or movement sensors to detect involuntary muscle responses to applied pressure, contributing to pain assessment.
4.The device as claimed in claim 1, wherein the design is compact and portable, allowing for non-invasive use in clinical and home settings for real-time monitoring of trigger points.
5.The device as claimed in claim 1, wherein the microprocessor is programmed to provide feedback and treatment recommendations based on the identified trigger points and their associated pain levels.
6.The device as claimed in claim 1, wherein it is configured for use in various medical fields, includes physiotherapy, chiropractic care, and sports medicine, for effective pain management and treatment planning.
7.A method for detecting myofascial trigger points using the device of claim 1, comprising the steps of:
a) Emitting light from the light emitter into the tissue at a suspected trigger point;
b) Detecting the intensity of light reflected by or transmitted through the tissue using the photo detector;
c) Applying pressure to the tissue at the trigger point;
d) Analysing the changes in light intensity during pressure application to determine the presence of a trigger point.
8.The method as claimed in claim 7, wherein the analysis includes correlating changes in light absorption to variations in tissue properties, including blood flow and elasticity, to provide an indication of pain levels.

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