Difference between revisions of "System logic"

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[[File:Potenziale Evocato della Radice Trigeminale.jpg|Motor Evoked Potential of the ipsilateral Trigeminal Root |alt=|250px|left]]Systems Theory, as applied in this context, serves as the foundational framework. It is a discipline that transcends traditional boundaries, providing insights into complex systems through an interdisciplinary approach. This theory is vital for understanding the interactions within biological systems, particularly in bioengineering and medical diagnostics. In medical fields, Systems Theory has revolutionized the way professionals understand and diagnose conditions by focusing on the relationships and interactions within systems rather than isolated parts.
{{ArtBy|
 
The integration of bioengineering has led to substantial breakthroughs in medical diagnostics. In the specific context of trigeminal electrophysiology, the application of various stimulation techniques—such as transcranial electrical stimulation and transcranial magnetic stimulation—has significantly enhanced diagnostic accuracy. These techniques allow clinicians to observe the responses of the nervous system to specific triggers, thereby obtaining a detailed snapshot of the system's state at an early stage, long before clinical symptoms become apparent.
 
Trigeminal electrophysiology, which focuses on the trigeminal nerve, plays a crucial role in the diagnostics of masticatory functions. The nerve's response to external stimuli can reveal underlying issues that might not be detectable using conventional diagnostic methods. The chapter discusses how the application of precise triggers can help map out the neural responses, providing a predictive model for identifying pathologies at an incipient stage.
 
The chapter also touches upon the novel approach of integrating principles of quantum mechanics into medical diagnostics. This approach advocates for a shift from classical deterministic models to probabilistic models that can better accommodate the inherent uncertainties in biological systems. Quantum mechanics offers a framework for understanding and interpreting complex biological interactions at a microscopic level, which can be pivotal in diagnosing diseases with a higher degree of precision.
 
A significant portion of the chapter discusses the importance of clinical indices in medical diagnostics. These indices, such as the Henderson-Hasselbalch equation used for analyzing blood pH levels, provide objective data that form the basis of diagnostic decisions. The chapter critiques traditional reliance on subjective clinical assessments and highlights how objective indices can lead to more reliable and standardized diagnostic outcomes.
 
In orthodontics, the use of indices like the Peer Assessment Rating (PAR) Index is discussed. The PAR Index helps in objectively measuring the outcomes of orthodontic treatment by comparing pre- and post-treatment orthodontic conditions. This method of assessment allows for a standardized evaluation of treatment effectiveness, thus enhancing the quality of patient care and facilitating continuous improvement in treatment protocols.
 
Despite the advancements in diagnostic techniques, the chapter acknowledges the challenges that remain, particularly in the standardization and widespread adoption of new diagnostic models. It calls for a concerted effort within the medical community to embrace these innovative approaches and integrate them into regular clinical practice.
 
The chapter concludes by emphasizing the potential of systems theory and quantum mechanics to transform medical diagnostics. It advocates for a continued exploration of these fields to uncover new diagnostic methods and improve existing ones. By doing so, it is possible to enhance the accuracy, reliability, and effectiveness of medical diagnostics, ultimately leading to better patient outcomes and more efficient healthcare systems.
 
In summary, the chapter provides a comprehensive overview of how integrating systems theory and quantum mechanics into medical diagnostics, particularly within the field of masticatory function and trigeminal electrophysiology, represents a paradigm shift in how medical conditions are diagnosed and treated. It highlights the move towards more objective, reliable, and early diagnostic methods, underscoring the significant benefits of this approach while also acknowledging the challenges and the need for further research and development.<blockquote>
== Keywords ==
'''Systems Theory''': Relates to the foundation of the discussed diagnostic model, emphasizing its role in understanding complex system dynamics.
 
'''Trigeminal Electrophysiology''': Focuses on the specific area within neurology explored in the chapter, involving nerve stimulation techniques.
 
'''Diagnostic Model''': Refers to the advanced methods used for diagnosing based on system logic and quantum mechanics.
 
'''Quantum Mechanics in Medicine''': Highlights the integration of quantum mechanics principles in medical diagnostics.
 
'''Bioengineering''': Indicates the technological advancements in medicine that facilitate better diagnostics.
 
'''Masticatory Functions''': Specific to the area of study within dental and craniofacial research.
 
'''Clinical Indices''': Discusses various indices used as objective data in medical diagnostics, such as the Henderson-Hasselbalch equation for blood pH analysis.
 
'''Objective Diagnostic Methods''': Refers to the use of quantifiable data to enhance the accuracy and reliability of medical diagnostics.</blockquote>{{ArtBy|
| autore = Gianni Frisardi
| autore = Gianni Frisardi
| autore2 = Giorgio Cruccu
| autore2 = Giorgio Cruccu
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| autore7 = Irene Minciacchi
| autore7 = Irene Minciacchi
}}
}}
'''Abstract:''' The transition to "System Logic" in medical science, particularly within the dental field, is guided by two fundamental elements: dental clinical indices and the logic of medical language. Clinical indices, such as the Henderson-Hasselbalch equation, offer objective reference points critical for accurate diagnoses, yet their validity is often debated. While indices provide measurable data, subjective interpretations have historically influenced clinical outcomes. In orthodontics, indices like the Peer Assessment Rating (PAR) have been adopted to assess treatment success, but concerns arise over their ability to fully capture the complexity of dental occlusion and function.
The logic of medical language also faces scrutiny for its limitations in addressing the dynamic, complex nature of living systems. Classical logic and probabilistic models, while useful, often fall short when dealing with the uncertainties inherent in medical diagnoses. This has led to the introduction of "fuzzy logic" as a more flexible approach that can handle gradations of truth and uncertainty in clinical decision-making.


Furthermore, this work delves into Systems Theory as a framework for understanding biological and clinical phenomena. The masticatory system is examined through this lens, using electrophysiological tests such as Root-MEPs (Motor Evoked Potentials) to demonstrate the practical application of systems logic. By integrating bioengineering models with clinical practice, this approach aims to enhance diagnostic accuracy, reduce errors, and allow for early detection of pathologies, thereby improving patient outcomes.
==Foreword==
==Foreword==


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A test, a normative reference datum or an 'Index' (as well as a 'Constant') are strategies related to mathematical-statistical models that generate data. These data are mandatory for the accuracy of the diagnosis, for the differential diagnosis as well as for the therapeutic guidelines. On these reference data, in the times of scientific dental history, implementations and modifications have been generated but also uncertainties and beliefs that in the form of axioms or schools of thought have set guidelines that are not always scientifically justifiable, and sometimes untrue.
A test, a normative reference datum or an 'Index' (as well as a 'Constant') are strategies related to mathematical-statistical models that generate data. These data are mandatory for the accuracy of the diagnosis, for the differential diagnosis as well as for the therapeutic guidelines. On these reference data, in the times of scientific dental history, implementations and modifications have been generated but also uncertainties and beliefs that in the form of axioms or schools of thought have set guidelines that are not always scientifically justifiable, and sometimes untrue.


===In literature===
=== In literature===
We can take into consideration the data reported in the literature regarding the 'Indices' studied on patients suffering from 'Temporomandibular Disorders'<ref>Results in [https://pubmed.ncbi.nlm.nih.gov PubMed] for "[https://pubmed.ncbi.nlm.nih.gov/?term=%22temporomandibular+disorders+index%22&filter=datesearch.y_1 Temporomandibular disorders Index]"</ref> or enter more specifically about masticatory rehabilitations and verify the 'Clinical Indices' topic in orthodontic disciplines.<ref>Results in [https://pubmed.ncbi.nlm.nih.gov PubMed] for "[https://pubmed.ncbi.nlm.nih.gov/?term=%22orthodontics%20index%22&filter=simsearch2.ffrft&filter=datesearch.y_1 Orthodontics Indexes]"</ref>  
We can take into consideration the data reported in the literature regarding the 'Indices' studied on patients suffering from 'Temporomandibular Disorders'<ref>Results in [https://pubmed.ncbi.nlm.nih.gov PubMed] for "[https://pubmed.ncbi.nlm.nih.gov/?term=%22temporomandibular+disorders+index%22&filter=datesearch.y_1 Temporomandibular disorders Index]"</ref> or enter more specifically about masticatory rehabilitations and verify the 'Clinical Indices' topic in orthodontic disciplines.<ref>Results in [https://pubmed.ncbi.nlm.nih.gov PubMed] for "[https://pubmed.ncbi.nlm.nih.gov/?term=%22orthodontics%20index%22&filter=simsearch2.ffrft&filter=datesearch.y_1 Orthodontics Indexes]"</ref>  


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{{q2|When approaching the modeling of a diagnostic 'Index' it is essential to consider the 'Fundamental Unit' of the system to be studied mathematically.|... as said, the 'Observable' cannot be the occlusal element because it is hierarchically lower than the Trigeminal Nervous System.}}
{{q2|When approaching the modeling of a diagnostic 'Index' it is essential to consider the 'Fundamental Unit' of the system to be studied mathematically.|... as said, the 'Observable' cannot be the occlusal element because it is hierarchically lower than the Trigeminal Nervous System.}}
  [[File:Bilateral Root-MEPs.jpg|thumb||center|500px|'''Figure 4:''' Virtual segmentation of the Trigeminal Nervous System and annotation of the motor Root level from which the trigeminal Motor Evoked Potentials (R-MEPs) are evoked |alt=]]
  [[File:Bilateral Root-MEPs.jpg|thumb|center|500px|'''Figure 4:''' Virtual segmentation of the Trigeminal Nervous System and annotation of the motor Root level from which the trigeminal Motor Evoked Potentials (R-MEPs) are evoked |alt=]]


Cortical projections to the trigeminal motor neurons are generally believed to be bilateral and symmetrical and can be electrophysiologically analyzed by electrical or magnetic brain stimulation through the intact scalp.<ref>{{cita libro  
Cortical projections to the trigeminal motor neurons are generally believed to be bilateral and symmetrical and can be electrophysiologically analyzed by electrical or magnetic brain stimulation through the intact scalp.<ref>{{cita libro  
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To make the understanding of 'Systems Theory' more suitable for the context of the masticatory system, we report some trigeminal electrophysiological procedures and implement them with the mathematical models of the theory.
To make the understanding of 'Systems Theory' more suitable for the context of the masticatory system, we report some trigeminal electrophysiological procedures and implement them with the mathematical models of the theory.


====Mathematical formalism in 'Systems Theory'====
==== Mathematical formalism in 'Systems Theory'====
The "systems theory" studies oriented systems, in which it becomes possible to classify the quantities of interest into two categories:
The "systems theory" studies oriented systems, in which it becomes possible to classify the quantities of interest into two categories:


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A real system can have multiple inputs and multiple outputs. In particular, we indicate with:
A real system can have multiple inputs and multiple outputs. In particular, we indicate with:


*<math>u(t)= (u_1(t),..., u_r(t))</math>the vector of the inputs at time <math>{t}</math>
* <math>u(t)= (u_1(t),..., u_r(t))</math>the vector of the inputs at time <math>{t}</math>
*<math>y(t)= (y_1(t),..., u_m(t))</math>the vector of the output at time <math>{t}</math>
*<math>y(t)= (y_1(t),..., u_m(t))</math>the vector of the output at time <math>{t}</math>


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In the engineering field, various mathematical modeling of a system are possible, depending on whether or not they explicitly consider the state variables.
In the engineering field, various mathematical modeling of a system are possible, depending on whether or not they explicitly consider the state variables.
[[File:Finite Elements - electric field within the intracranial brain tissue - FEM.jpg|thumb||center|'''Figure 5:''' A. Positioning of the electrodes for the delivery of the electrical stimulus. B. Representation of the electric field within the brain structure. C. Localization of the induced electric field at the level of the trigeminal roots ]]
[[File:Finite Elements - electric field within the intracranial brain tissue - FEM.jpg|thumb|center|'''Figure 5:''' A. Positioning of the electrodes for the delivery of the electrical stimulus. B. Representation of the electric field within the brain structure. C. Localization of the induced electric field at the level of the trigeminal roots ]]


====Mathematical formalism of the Trigeminal System Logic====
====Mathematical formalism of the Trigeminal System Logic====
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[[File:Potenziale Evocato della Radice Trigeminale.jpg|thumb|'''Figure 6:'''Ipsilateral trigeminal motor evoked potential|alt=|378px|right]]
[[File:Potenziale Evocato della Radice Trigeminale.jpg|thumb|'''Figure 6:'''Ipsilateral trigeminal motor evoked potential|alt=|378px|right]]


==Conclusion==
== Conclusion==


[[File:FIGU01.jpg|alt=|left|thumb|'''Figura 7:''' The figure shows three ways of analyzing the system. In A the interferential EMG trace, in B the bilateral Root-MEPs and in C the jaw jerk..|200px]]  
[[File:FIGU01.jpg|alt=|left|thumb|'''Figura 7:''' The figure shows three ways of analyzing the system. In A the interferential EMG trace, in B the bilateral Root-MEPs and in C the jaw jerk..|200px]]  
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