A SYSTEM AND METHOD FOR PROCEDURE-DEPENDENT MULTIMATE ERGONOMIC RISK ASSESSMENT, ADAPTIVE ALERT, AND ERGONOMIC ASSESSMENT REPORT GENERATED IN DENTAL PROCEDURES, SUPPORTED BY SEMG (SEQM).

Abstract

This invention relates to a system and method that assesses procedure-dependent multimodal ergonomic risk with sEMG support in dental procedures, and generates an adaptive alert and ergonomic assessment report. Its features include: an input module (3) that receives the user's camera image data, inertial unit (IMU) motion data, surface electromyography (sEMG) muscle activity signal, clinical procedure information and procedure time information; a sensor fusion and reliability analysis module (5) that performs sensor fusion and sensor reliability analysis by processing the camera image data, inertial unit (IMU) motion data and surface electromyography (sEMG) muscle activity signal simultaneously and / or in time-related manner; a dental risk motor (6) that performs ergonomic load analysis by applying risk parameters related to the dental procedure; and a scoring module (7) that generates at least one ergonomic risk score based on the said ergonomic load analysis.The system includes an alert module (8) that generates feedback to the user based on the determined risk level, a reporting module (9) that generates end-of-session and / or end-of-day ergonomic assessment outputs, a personal coach module (10) that generates recommendations to the user based on muscle group, procedure type and / or ergonomic risk data, a processor (1) that processes data between these modules, and a database (2) that stores user data, procedure parameters, sensor calibration data and ergonomic risk scores. Camera, IMU and electromyography data with different sampling frequencies are matched on a common time base using timestamps and dynamically weighted according to data source reliability. By recording the user's corrective response to the alert, user-specific risk thresholds, alert parameters and personal coach recommendations can be adapted for the next user within predefined safety limits.

Description

1 TARIFF SEMG-SUPPORTED PROCEDURE-DEPENDENT IN DENTAL PROCEDURES MULTI-MODE ERGONOMIC RISK ASSESSMENT, ADAPTIVE SYSTEM 5 THAT GENERATES WARNING AND ERGONOMIC ASSESSMENT REPORTS. AND METHOD Technological Field: This invention is suitable for dental clinics, oral and dental health centers, university hospitals, 10 dental faculties, training and research hospitals, dental simulation laboratories, phantom laboratories, preclinical training environments, private clinics, healthcare tourism clinics, occupational health and safety practices, occupational ergonomics systems, biomedical engineering applications, artificial intelligence-powered health technologies, wearable sensor systems, digital health platforms, clinical decision support systems, 15 microsurgery, otolaryngology, ophthalmology, physical therapy and rehabilitation, Veterinary medicine is a health field that requires laboratory practices and delicate manual dexterity. sEMG-assisted procedures in dental treatments that can be used in various disciplines Dependent multimodal ergonomic risk assessment, adaptive alert and ergonomic It relates to the system and method that produces the evaluation report. 20 State of the Art: In dental practice, the dentist remains in fixed or semi-static positions for extended periods. The exercise involves repetitive muscle activity in the neck, shoulders, back, upper extremities, and wrists. This leads to strain on the teeth; consequently, musculoskeletal disorders and tooth problems. This is commonly seen in the medical profession. However, current solutions... largely general ergonomics training, chair and equipment placement. regulations, standard exercise recommendations, or simple posture awareness warnings It remains limited to these systems. 30 2 These approaches mostly involve the type of procedure performed by the physician, the duration of the procedure, the equipment used during the procedure and the specifics of the clinical work area It does not offer a holistic technical infrastructure that considers all conditions together. In particular root canal treatment, prosthetic applications, periodontal procedures, restorative applications, teeth 5 different muscle loading profiles, such as those created by extractions or surgical procedures In the procedures, ergonomic risk is determined in a manner specific to the process context. This cannot be achieved at a sufficient level in the systems. A significant portion of the posture tracking systems included in known techniques rely on the user 10 if certain threshold values ​​are exceeded by monitoring the torso, neck or shoulder tilt. These systems are designed to provide audible, visual, or vibrating warnings. ergonomic assessment mostly focuses on externally visible posture parameters. is based on the actual muscle load the user experiences during the procedure, fatigue develops or varies depending on different processes under the same posture. Biomechanical stresses cannot be assessed with sufficient precision. As a result, 15 The user can only be provided with information about the "erroneous posture"; which specific error it is... it emerged during the procedure, and in which anatomical regions it created cumulative load. and to what extent this burden may create occupational risk in the short or long term. This cannot be determined. This situation makes ergonomic evaluation superficial. and prevents the accurate interpretation of actual clinical load conditions. 20 Existing camera-based systems also have various technical limitations. Dental In the dental environment: patient, assistant, dental unit components, microscope, magnifying loupe. image due to systems or other equipment partially obstructing the field of view The continuity and accuracy of the data may be compromised. Image shutdown or body 25 The segments becoming partially invisible to the camera allows for posture analysis. this reduces its reliability and causes deviations in real-time assessment results. It is possible. In addition, purely image-based systems, from the outside, are normal. or occurs in muscle activity under a body position that appears acceptable It cannot detect incoming increases. For example, neck angle or trunk posture at certain 30°Cs. Even if they appear within the boundaries, the upper trapezius, cervical paraspinal muscles, or forearm muscles Findings of overactivity and fatigue developing in the groups were analyzed using camera-based analysis. 3 This deficiency cannot be demonstrated. This lack of clarity reveals clinically significant ergonomic risks. This causes it to be overlooked. Another shortcoming of current systems is that the ergonomic risk is spread over time and throughout the procedure. They do not treat it as a dynamic process that changes depending on the situation. Known solutions 5 It is mostly limited to instantaneous posture assessment; the procedure time involves sequential procedures. muscle strain accumulated throughout, total risky working time, and end-of-day ergonomics. It is unable to process parameters such as a holistic evaluation of performance. This Therefore, providing the user with a detailed ergonomics report after the procedure, focusing on specific muscles Showing during which operations the strain increased in the groups, daily or 10 Creating periodic ergonomics scores and providing personalized guidance for subsequent work sessions. Developing specific corrective recommendations is not possible in most systems. This situation... It reduces the continuity of ergonomic awareness and only provides the user with momentary insight. This leads to being guided by warnings. Furthermore, known techniques are largely focused on the individual user and are clinical-scale. It lacks integrated structures that can be adapted to management or educational settings. Existing solutions, dental schools, preclinical laboratories, phantom application areas or ergonomic designs for students, physicians, or groups in multi-user clinical settings. performance monitoring, comparative reporting, and data-driven feedback to the training process. It does not adequately support notification functions. Therefore, it is ergonomic. Systematically instilling awareness in the early stages of the profession, preventing mistakes Posture habits should be identified and corrected during the student years and in clinical practice. It is possible for administrators and educators to make decisions based on objective ergonomics data. They remain limited in the systems. As a result, known techniques are specific to dentistry. ergonomic risk depends on procedure, duration, muscle load, movement pattern, and training / institutional factors. a multidimensional and adaptive approach that allows for consideration of usage requirements It is unable to offer a solution. Description of the invention: 30 4 The invention addresses the ergonomic challenges that arise during dental procedures. not only based on externally visible posture data; but also on the type of procedure performed. Study duration, camera-based posture analysis, Inertial Measurement Unit (IMU) motion data obtained from sensors and Surface Electromyography (sEMG) By processing the signals together, a multi-parameter and multi-dimensional ergonomic risk assessment is possible. 5 It provides an assessment infrastructure. This allows for the evaluation of ergonomic risk, specifically at a single posture angle. without reduction; muscle loading, movement pattern, procedural context and fatigue It can be evaluated along with its development, thus providing the user with a more accurate, dynamic and Individualized results can be produced. This structure of the invention allows for ergonomic evaluation. By moving beyond being merely a monitoring function, it becomes an integrated part of clinical trial practice. It transforms into a decision support mechanism. One of the key advantages of the invention is that it provides the user with information at the beginning of each work session. It is able to perform specific calibrations. Based on a neutral posture, the neck, shoulders, torso, and Personal reference values ​​are being created for the hand and wrist areas; in this way, 15 Instead of a generalized framework based on standard thresholds, the evaluation is based on the user's based on a foundation adapted to its own anatomical and functional characteristics This is performed using sEMG data, involving the upper trapezius and cervical paraspinal muscles. muscles, such as the deltoid muscles, forearm flexors, and forearm extensors, used in dentistry. The activity of muscle groups that are critical in these applications is analyzed; Root 20 Mean Squared (RMS) amplitude, muscle activation time, median frequency change, and muscle Biomarkers associated with fatigue are being calculated. Thus, externally accepted Excessive muscle strain and hidden problems occur even under a seemingly manageable posture. Strains can be identified and included in the ergonomic risk assessment. Another advantage of the invention is that it allows for decision-making within the context of dental procedures. It is about placing it at the center of the mechanism. Root canal treatment, prosthetic applications, periodontal procedures, restorative procedures, orthodontic treatments, or surgery The work patterns and muscle loads that emerge during interventions differ from each other. Because they are different, the ergonomic risk of the system is differentiated according to the type of operation. 30 can be evaluated. The same posture or the same neck angle is the same for every clinical procedure. It is not considered to be at a risk level; the duration of the procedure, the load on the relevant muscle groups, and The precision required by the procedure is interpreted together. This ensures ergonomic design. Analysis goes beyond being a general and abstract evaluation and becomes direct clinical application. It becomes adapted to the context; to which anatomical feature the user is using during which process. The region and the duration of time the employee worked under risk can be determined concretely. The invention's sensor fusion approach also provides a significant technical advantage. Camera By evaluating the data, IMU data, and sEMG signals together, any given data can be analyzed. In the event of any loss, malfunction, or decrease in reliability that may occur at the source, the system It is possible to use information from other data sources with higher weighting. For example, the camera image may show the patient, assistant, or dental equipment. partial closure due to this, or artifact in the electromyography signal. In this case, the system can dynamically reweight the decision-making mechanism and It can produce more stable results. This is due to the inherent complexity of the clinical setting. within it, increasing the reliability of the system and ensuring the continuity of ergonomic risk analysis. It supports. 15 The invention is not limited to a system that provides instantaneous warnings during operation, but also encompasses the process. End-of-day and end-of-day evaluations enable long-term ergonomics management. It recognizes personalized ergonomic performance generated by the system. their reports included total ergonomics score, percentage of incorrect posture, total risky working time, 20 Number of alerts, Rapid Upper Extremity Assessment (RULA) data, Dentistry Specific Electromyography-Based Ergonomic Load Index levels and procedure-based muscle analysis. Load distributions can be presented. Thus, ergonomic load is not just a momentary event. not as a single thing, but as something that accumulates throughout the day and requires long-term behavioral change. This can be monitored as a performance parameter. This structure allows the user to track their own work. 25 It allows them to see and improve their habits in a data-driven way. One of the key advantages of the invention is that, based on the evaluation results... Its ability to generate personalized recommendations; the system can provide guidance on which clinical procedures are being performed. increased ergonomic load, which muscle groups are being overstressed, and the next 30 which short exercises, rest intervals, or equipment during the workout session It can determine which settings should be applied. For example, channel 6 Relaxation exercises for the neck and upper trapezius region after treatment, long-term Stretching of forearm and wrist muscles after prosthetic or periodontal procedures. recommendations or support shoulder stabilization after lengthy surgical procedures Applications can be offered automatically by the system. In this respect, the invention, Going beyond being a passive monitoring system, it allows the user to monitor their daily work. A proactive and adaptive ergonomics coaching function aimed at transforming habits. He sees. The invention also features a modular platform that can be configured according to different use cases. It has the following characteristics: individual user mode, clinical mode, and faculty mode. 10 Thanks to this system, it is used in private clinics, oral and dental health centers, and universities. in hospitals, dental faculties, training and research hospitals, It can be used in preclinical laboratories and phantom testing rooms. The structure not only monitors the ergonomic risks of professionals, but also at the same time, students learn the correct study principles during the education phase, 15 early correction of faulty posture habits and educators' guidance for students or the ability to generate ergonomic performance reports on a group basis This allows the invention to be used for both clinical and educational purposes with the same technology. It is becoming a large-scale ergonomics platform that unites them under one infrastructure. The industrial applicability and commercialization of the invention are also important advantages. The system includes Progressive Web Applications (PWA), mobile applications, and desktop applications. as software or cloud-based Software as a Service (SaaS) platform It can be configured in a way that can be implemented; clinical management panels, multi-user institutional licenses, university education licenses and central data monitoring systems with 25 They can work together seamlessly. On the hardware side, Bluetooth Low Energy (BLE) communication is used. Low-power IMU sensors with integrated infrastructure, placed on the neck and shoulder area. Implantable sEMG modules are wearable devices that measure forearm and wrist muscle activity. modular design with belts and vibration-based feedback units. The fact that it can be produced allows the system to be scaled according to different user needs. 30 Furthermore, the modular architecture of the invention provides ergonomic solutions outside of dentistry. Fields with high risks include medicine, microsurgery, otolaryngology, ophthalmology, and veterinary medicine. 7 adaptability to disciplines such as medicine, laboratory applications and similar fields. This makes it possible. Therefore, the invention is not just a solution specific to dentistry; health technologies, wearable sensor systems, digital health platforms and clinics It offers an expandable technology infrastructure in the field of decision support systems. Explaining the Figures: The invention will be described by referring to the attached figures, so that the features of the invention can be explained. It will be understood and appreciated more clearly, but the purpose of this invention is this obvious It is not about limiting it with regulations. On the contrary, the invention is defined by the accompanying claims. all alternatives, modifications, and options that could be included within the defined area The aim is to cover their equivalences. The details shown are only for the present invention. It is shown to illustrate the preferred arrangements and both the methods shaping, as well as the rules and conceptual features of the invention, in the most useful way. It should be understood that they are presented to provide an easily understandable definition. This 15 in the drawings; Figure 1 shows a schematic view of the system. In Figure 1, the symbols on the left that provide data to the input module are camera image 20, respectively. its source, wearable inertial unit (IMU) motion sensor, surface electromyography (sEMG) electrode / sensor unit, clinical procedure information and process It shows the duration information. Figures that will help to understand this invention are shown in the attached image, number 25. They are numbered and their names are given below. Explanation of References: 1. Processor 30 2. Database 3. Introduction Module 8 4. sEMG Calibration Module 5. Sensor Fusion and Reliability Analysis Module 6. Dental Risk Engine 7. Score Module 8. Warning Module 5 9. Reporting Module 10. Personal Coach Module Description of the Invention: The invention converts user-generated camera image data into inertial unit (IMU) motion. data, surface electromyography (sEMG) muscle activity signal, clinical procedure an input module (3) that receives information and processing time information, camera image data, Inertial unit (IMU) motion data and surface electromyography (sEMG) muscle activity signal in real-time and / or time-related manner 15 A sensor that performs sensor fusion and sensor reliability analysis by working together. Fusion and reliability analysis module (5), risk parameters related to dental procedure A dental risk engine (6) that performs ergonomic load analysis by applying the mentioned A score that generates at least one ergonomic risk score based on ergonomic load analysis. module (7) is a 20 that generates feedback to the user depending on the determined risk level. Warning module (8), session end and / or end-of-day ergonomic evaluation outputs a reporting module (9) that creates, gives the user muscle group, type of procedure and / or A personal coach module that generates recommendations based on ergonomic risk data (10), a processor (1) that processes data between modules and user data, procedure a 25 that stores parameters, sensor calibration data and ergonomic risk scores It contains database (2). The invention incorporates user-generated image data, Inertial Measurement Unit data, and surface data. It has an input module (3) that transmits the electromyography signal to the system. The invention calibrates the user in a neutral posture by measuring the neck, shoulder, torso, and hand-wrist. forming the initial reference values ​​for the regions, upper trapezius, cervical 9 basal muscle groups of the paraspinal, deltoid, forearm flexor and / or forearm extensor muscles. It has an sEMG calibration module (4) that processes electromyography data. The invention combines camera data, IMU data, and surface electromyography data. by evaluating and assigning a reliability weight to each data source, camera 5 in case of image obscuration, IMU instability and / or electromyography artifact Sensor fusion and reliability analysis that modify the reliability weights in question It has module (5). The invention relates to root canal treatment, tooth extraction, implant surgery, prosthetic procedures, and periodontal treatment. and / or neck, shoulder, trunk and hand-wrist angle thresholds and muscle for orthodontic application. It has a dental risk motor (6) that loads the load limits. The invention derives the root mean square amplitude and median frequency from surface electromyography data. change, activation time, co-contraction level and / or muscle fatigue 15 By calculating the parameter, an electromyography-based ergonomic approach specific to dentistry is developed. The score that generates Load Index and / or Rapid Upper Extremity Assessment score data. It has module (7). The invention is valid if the determined risk level exceeds the threshold value. generating auditory, visual and / or haptic feedback and the user's response to the alert It has a warning module (8) that records the corrective response. The invention has a defined risk 20 Audible, visual and / or haptic feedback if the level exceeds the threshold value. the warning module (8) which creates and records the corrective response of the user to the warning It has the warning module (8) to determine whether the user has given a corrective response. Determining the duration and change in the ergonomic risk score and based on that data as, within predefined safety limits, in subsequent work sessions 25 user-specific risk threshold, alert timing, alert intensity and / or alert type It adapts at least one of them. The corrective user determined by the warning module (8) regarding whether it reacts, its reaction time, and the change in the ergonomic risk score. data within predefined security limits, personal coach module (10) 30 in adapting the recommendations created for subsequent working sessions It is used. Corrective response data recorded by the warning module (8) is processed by the processor (1). the user's personal risk thresholds and warning timing in subsequent work sessions and in adapting the recommendations generated by the personal coach module (10) It is used. The invention includes the total ergonomics score, percentage of risky postures, total risky working time, and warnings. number, process-based muscle load and muscle group-based ergonomic load distribution It has a reporting module (9). The invention allows the user to adjust equipment settings, working position, rest intervals, and muscle groups by 10 It has a personal coach module (10) that generates individual exercise recommendations. The invention is for individual Different data display options are available for user mode, clinical mode, and faculty mode. Reporting module (9) and / or personal coach module that creates assessment levels (10) includes. The invention describes a procedure-dependent multimodal sEMG-assisted process during dental procedures. ergonomic risk assessment, adaptive feedback and ergonomic evaluation The report is a production method that involves the user being defined in the system and the selected work. Retrieving user information based on the mode, user's display unit, movement Connecting the sensor and electromyography sensors to the system, the user's neutral 20 Calibrated in position to provide reference values ​​for body regions and muscle groups. creation, loading of ergonomic risk parameters for the selected dental procedure, Image data, motion data, electromyography data, procedure time, and throughout the session. Simultaneous collection of procedural information improves the reliability of the sensor based on this data. Depending on the context, muscle load from electromyography data is evaluated together. 25 calculation of parameters, creation of ergonomic risk score, risk level Depending on the situation, feedback is provided to the user and at the end of the session and / or end of the day. The process of generating ergonomic assessment outputs includes the following steps. The invention includes individual mode, clinical mode and / or faculty mode 30 in the user identification step. the selection of a working mode and the user's area of ​​expertise, clinical role and includes recording information about the dental procedure to be performed in the system. 11 The invention relates to the initial calibration step for the neck, shoulder, torso, and hand-wrist regions. Determining the angles of the upper trapezius, cervical paraspinal, deltoid, and forearm flexor muscles. and / or baseline electromyography values ​​of the forearm extensor muscle groups It includes the creation of 5. The invention relates to the loading of procedure-based risk parameters in root canal treatment, dental extraction, implant surgery, prosthetic procedure, periodontal treatment and / or orthodontics This involves selecting different angle threshold values ​​and muscle load limits for the application. The invention involves capturing the camera image during the data collection and sensor evaluation step. to detect shutdown, IMU instability and / or electromyography signal artifacts, Separate confidence coefficients for camera data, IMU data, and electromyography data. the assignment and weighting of data based on the aforementioned coefficients It includes. 15 The invention derives the root mean square amplitude and median frequency from electromyography data. change in activation time, co-contraction level and / or muscle fatigue Calculation of the parameter and the specific Dentistry-specific parameters based on the data in question. Electromyography-Based Ergonomic Load Index score and / or Rapid Upper Extremity 20 It involves generating a score based on an assessment. The invention provides audio and visual feedback depending on the risk level determined in the feedback step. and / or the generation of haptic feedback; whether the user has given a corrective response, Determining the change in reaction time and ergonomic risk score and analyzing this data, 25 within predefined security limits, to the user in subsequent work sessions specific risk thresholds, warning timing, warning intensity, warning type and / or This includes using personal coaching recommendations in tailoring. It also... recording of posture correction movements performed by the user It includes. 30 12 The invention involves generating ergonomic assessment outputs at the end of a session and / or end of the day. The total ergonomics score at each step, the percentage of risky postures, and the total risky working time, Number of triggers, the process causing the most strain, the muscle groups subjected to the most load, equipment adjustment recommendations, working position recommendations, rest interval recommendations, and muscle recommendations. This includes creating exercise recommendations specific to the group. 5 The invention enables physicians, students, and other users to utilize data obtained under clinical mode and / or faculty mode. This includes analysis based on procedure type, time zone, and / or clinical room. Detailed Description of the Invention: 10 The invention reduces the ergonomic load experienced by the user during dental procedures. for the purpose of monitoring, evaluating and reporting in a multi-parameter manner. It encompasses an improved system and method set. The system includes the processor (1) and It has a modular architecture structured around the database (2) and requires 15 users. The acquired image data, motion data, electromyography data, procedural information, and Procedure-dependent ergonomic risk analysis by processing processing time data together. It is carrying out. At the start of system operation, the user is defined in the system and the individual user is 20 One of the working modes is selected, such as clinical mode or faculty mode. at this stage the user's area of ​​expertise, clinical role and the dental procedure to be performed Information relating to the system is entered and said information is in the database (2) is stored. At the same stage, the camera connected to the system is based on Inertial Measurement Unit. motion sensor and surface electromyography sensors via input module (3) 25 The system is connected and data flow is initiated. The input module (3) connects the user. image data, procedure information, processing time, and raw data from sensors. It collects and transmits to the processor (1). After the user is identified in the system, the sEMG calibration module (4) is activated 30 This module calibrates the user in a neutral posture and adjusts the neck, shoulders, and torso. It establishes the initial posture references for the hand and wrist regions. Same 13 Over time, the superior trapezius, cervical paraspinal, deltoid, forearm flexor, and forearm extensor muscles Basal muscle activity was determined using surface electromyography data obtained from the groups. The levels are determined. The posture and muscle activity references created are: Comparison data in the user's ergonomic evaluations in subsequent sessions It is recorded in the database (2) to be used as. 5 Procedural parameters required for dental risk motor (6) following calibration process It is uploaded to the system. Depending on the dental procedure selected by the user, the root canal... treatment, tooth extraction, implant surgery, prosthetic procedure, periodontal treatment or orthodontics Pre-defined ergonomic risk parameters for the application are activated. 10 These parameters include the angles of the neck, shoulder, torso, and hand-wrist regions. thresholds, predicted muscle load limits for the relevant muscle groups, and duration of the process. It includes risk assessment data. Thus, the same posture or the same movement Its pattern varies depending on the nature of the chosen dental procedure. It can be evaluated. 15 Once the session begins, the system switches to the real-time data collection phase. The user's posture and body segments are monitored via camera, using IMU technology. User movement data is received from sensors and muscle data is obtained from seMG sensors. Activity data is being collected. In addition, processing time, information on the selected procedure, and 20 Parameters related to data quality are also monitored simultaneously. All data is transferred to the processor (1) via the input module (3) and the sensor It is received to be processed by the fusion and reliability analysis module (5). Input module (3), camera, IMU and sEMG 25 with different sampling frequencies It timestamps each piece of data; these data are grouped together at a common time. It aligns itself within selectable analysis windows at its base. Sensor fusion and Reliability analysis module (5), only the posture corresponding to the same time interval, By matching movement and muscle activity data, clinical procedure information and procedure time can be obtained. 30 by associating them; thus reducing delay or sampling between data sources. This prevents the differences from creating a mismatch in the ergonomic risk score. 14 Sensor fusion and reliability analysis module (5), multiple data fusion of the system and This forms the reliability analysis layer. Sensor fusion and reliability analysis. camera data, IMU data and surface electromyography data by module (5) They are evaluated together, and the reliability level for each data source is determined. It is calculated. If a blackout occurs in the camera image, 5 is added to the IMU data. If instability occurs or an artifact is detected in the electromyography signal, the sensor Fusion and reliability analysis module (5) reliability weight of the relevant data source reducing and increasing the weight of other data sources in the evaluation process It continues to do so. Thus, in the event of corruption in a single data source... The ergonomic risk analysis of the system continues without interruption. 10 Reliability analysis was performed by the sensor fusion and reliability analysis module (5). The data are then processed by the score module (7) and the dental risk engine (6). Score modulus (7), Root Mean Square amplitude from surface electromyography data, median frequency change, activation time, co-contraction level, and muscle 15 It calculates parameters that represent fatigue. These calculated data, to be evaluated together with the parameters of the dental procedure selected by the user The dental risk motor (6) is transferred to the relevant procedure angle. Using thresholds, muscle load limits, and processing time data, an ergonomic load profile is created. It constitutes. 20 After the creation of the ergonomic load profile, the score module (7) determines at least An ergonomic risk score is calculated. Within this scope, specific to Dentistry... Electromyography-based Ergonomic Load Index score and / or Rapid Upper Extremity Evaluation-based score data is generated. The generated score data is based on the user's 25 It quantitatively expresses the immediate ergonomic risk level and then the warning module (8), reporting module (9) and personal coach module (10) are used by. A certain threshold value of the ergonomic risk score produced by the score module (7) If it exceeds 30, the warning module (8) is activated. The warning module (8) activates when the user exceeds 30. audio, visual and / or haptic feedback in a way that does not disrupt the clinical trial flow. This is created by the system. The corrective response given by the user to the warning in question is also recorded by the system. It is recorded by [the system]. Thus, it is not enough to simply issue a warning, The user's response to the warning should also be taken into account in subsequent evaluations. is provided. The warning module (8) enables the user to respond with corrective action after receiving feedback. that it did not give, the reaction time, the amount of decrease in ergonomic risk score and the same This determines whether the risk recurs within the procedure. This data is obtained beforehand. By maintaining defined safety limits, user-specific risks are addressed in subsequent sessions. thresholds, timing, intensity and type of warning and / or personal coach module (10) It is used in adapting the recommendations made by [Name of organization / institution]. 10 ergonomic reporting module (9) at the end of the session or at the end of the day Evaluation outputs are generated. Reporting module (9), total ergonomics score, percentage of risky stops, total risky working time, number of warnings, transaction-based It calculates muscle load and ergonomic load distribution based on muscle group and reports it. 15 It brings about. In addition, in clinical mode or faculty mode, the data obtained helps the physician, Students are classified based on procedure type, time zone, or clinic room. can be evaluated. These data are also stored in the database (2) and past It allows for comparative analysis across sessions. Personal coach module (10), reporting module (9) and scoring module (7) It uses the generated data to create personalized recommendations for the user. Recommendations include equipment settings, working position, rest intervals, and muscle group specifics. Exercise suggestions are presented in the form of personal coach module (10), suggestion generation. the user's muscle group-based load distribution, the selected dental procedure, the procedure duration, and 25 It takes into account ergonomic risk data obtained from previous sessions. Under clinical and faculty modes, the system is available only to individual users. It is not limited to evaluation, but also includes multi-user evaluation. It also provides the infrastructure. In this context, the student, 30, is guided by the instructor or clinical manager. The physician can generate reports based on the type of procedure, time interval, or clinical area. Comparative analysis of ergonomic risk intensity and process-based load distribution. 16 This allows the system to be viewed. Thus, the ergonomics of the individual user are considered. in the evaluation of collective ergonomics in both clinical and educational institutions. It can be used in conducting performance analysis. As a result, within the scope of the invention; the image collected through the input module (3), IMU and 5 sEMG data, personal reference values ​​generated with sEMG calibration module (4), Reliability performed by sensor fusion and reliability analysis module (5) procedure dependent data fusion, driven by dental risk engine (6) ergonomic load analysis, ergonomic risk scores generated by the score module (7), Feedback generated by the warning module (8), reporting module (9) 10 ergonomic assessment outputs and personal coach module prepared by (10) The suggestions generated by the processor (1) and the database (2) work together. An integrated ergonomic risk assessment infrastructure is provided through this. 20 30

Claims

17 REQUESTS 1- The invention relates to sEMG-assisted procedure-dependent multimodal imaging in dental procedures. ergonomic risk assessment, adaptive alert and ergonomic evaluation report. It is a system that produces 5, and its feature is;  User-generated camera image data, inertial unit (IMU) motion data, surface electromyography (sEMG) muscle activity signal, clinical procedure an input module (3) that receives information and processing time information,  camera image data, inertial unit (IMU) motion data and surface electromyography (sEMG) simultaneously and / or at a time interval of 10 seconds measures muscle activity signal. Sensor fusion and sensors work together in a related manner. a sensor fusion and reliability analysis module that performs reliability analysis (5),  Ergonomic load analysis by applying risk parameters related to the dental procedure a dental risk engine (6), 15  at least one ergonomic risk score based on the ergonomic load analysis in question a score module that produces (7),  A warning that provides feedback to the user based on the defined risk level. module (8),  a 20 that generates end-of-session and / or end-of-day ergonomic assessment outputs reporting module (9),  Recommendation to the user based on muscle group, type of procedure and / or ergonomic risk data. a personal coach module that produces (10),  among the modules in question is a processor (1) that processes data and  user data, procedure parameters, sensor calibration data and 25 from a database that stores ergonomic risk scores (2) It is the formation of. 2- sEMG-assisted procedure-dependent dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic 30 It is a system that generates an evaluation report; its feature is that it processes the user's image data. 18 transmitting inertial measurement unit data and surface electromyography signal to the system It is characterized by having an input module (3). 3- sEMG-assisted procedure-dependent dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic 5 It is a system that generates an evaluation report; its feature is that it calibrates the user in a neutral position. by determining the initial reference values ​​for the neck, shoulder, torso, and hand-wrist regions. forming and involving the superior trapezius, cervical paraspinal, deltoid, forearm flexor and / or forearm sEMG calibration that processes basal electromyography data of extensor muscle groups. It is characterized by having a module (4). 10 4- sEMG-assisted procedure-dependent dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates an evaluation report, and its features include camera data, IMU data, and By evaluating surface electromyography data together, 15 for each data source. Assigning reliability weights and camera image shutdown, IMU instability. and / or in the case of electromyography artifact, the relevant reliability weights It is characterized by having a sensor fusion and reliability analysis module (5). It is done. 5- Compliant with Claim 1 or Claim 4, and its feature is; input module (3) camera, IMU and Assigning timestamps to electromyography data allows us to group that data into a common timeframe. Alignment at the base and sensor fusion and reliability analysis module (5) only It is characterized by matching data corresponding to the same time interval. 6- sEMG-assisted procedure-dependent dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates evaluation reports, and its features include: root canal treatment, tooth extraction, for implant surgery, prosthetic procedures, periodontal treatment and / or orthodontic application Dental risk 30 which imposes angular thresholds and muscle load limits on the neck, shoulder, trunk, and hand-wrist. It is characterized by having an engine (6). 19 7- sEMG-assisted procedure-dependent dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates an evaluation report, and its feature is surface electromyography. Root Mean Square amplitude, median frequency change, activation time, co- from the data By calculating the contraction level and / or muscle fatigue parameter, 5 for Dentistry Specific Electromyography-Based Ergonomic Load Index and / or Rapid Upper Extremity Its evaluation is characterized by having a score module (7) which generates score data. It is done. 8- Procedure-dependent sEMG-assisted dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates an assessment report, and its feature is that it determines the threshold of the risk level. If the value is exceeded, it generates audio, visual and / or haptic feedback and the user It has an alert module (8) which records the corrective response to the alert. It is a characterization. 15 9- Compliant with Claim 1 or Claim 8, and its feature is; the warning module (8), user whether it provides a corrective response, the response time, and the change in the ergonomic risk score. determination and, depending on the data in question, predefined security limits within, the user-specific risk threshold for subsequent work sessions, warning 20 by adapting at least one of the following: timing, warning intensity and / or warning type It is the characterization of the situation. 10- Compliant with Claim 1 or Claim 9, and its feature is determined by the warning module (8). whether the user responds correctly, the response time, and the ergonomic risk 25 Data regarding changes in the score, within predefined confidence limits, suggestions generated by the personal coach module (10) for subsequent training sessions It is characterized by its use in adaptation. 11- Procedure-dependent sEMG-assisted treatment in dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates an evaluation report, and its features include: total ergonomics score, risk assessment. postural percentage, total risky working time, number of warnings, process-based muscle load, and muscle It has a reporting module (9) that creates group-based ergonomic load distribution. It is the characterization of the situation. 12- Procedure-dependent sEMG-assisted treatment in dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates an evaluation report; its feature is to provide the user with equipment settings, creating exercise recommendations specific to working position, rest interval and muscle group. It is characterized by having a personal coach module (10). 13- sEMG-assisted procedure-dependent dental procedures mentioned in Claim 1. Multimodal ergonomic risk assessment, adaptive alert and ergonomic It is a system that generates evaluation reports, and its features include individual user mode and clinical mode. Different data display and evaluation levels for faculty mode and faculty mode. 15 It is the characterization of the situation. 14- The invention relates to sEMG-assisted procedure-dependent multimodal dentistry procedures. ergonomic risk assessment, adaptive alert and ergonomic evaluation report. It is a production method, and its characteristic is; 20  User identification in the system and user based on selected operating mode obtaining information  User-specific imaging unit, motion sensor, and electromyography connecting the sensors to the system,  Calibrated to the user's neutral position, targeting body regions and muscle groups 25 creation of reference values,  Loading of ergonomic risk parameters associated with the selected dental procedure,  Image data, motion data, electromyography data, and processing data collected throughout the session. Simultaneous collection of duration and procedure information,  depending on the reliability of the sensor, the data in question together 30 evaluation,  Calculation of muscle load parameters from electromyography data, 21  Establishing an ergonomic risk score,  depending on the risk level, feedback is provided to the user and  End-of-session and / or end-of-day ergonomic assessment outputs It includes the steps involved in creating it. 15- This is the method mentioned in Request 14, and its characteristic is; in the user identification step. one of the study modes from individual mode, clinical mode and / or faculty mode selection and the user's area of ​​expertise, clinical role and dental procedures to be performed It is characterized by the fact that it involves recording procedural information into the system. 16- The method mentioned in Claim 14, its characteristic feature is; neck, shoulder, during the calibration step, Determining the starting angles of the trunk and wrist regions, and the upper trapezius, belonging to the cervical paraspinal, deltoid, forearm flexor and / or forearm extensor muscle groups It is characterized by the fact that it involves the establishment of baseline electromyography values. 17- The method mentioned in Claim 14 is characterized by its procedure-based risk parameters. The loading step includes root canal treatment, tooth extraction, implant surgery, prosthetic procedures, Different angle threshold values ​​and muscle loads for periodontal treatment and / or orthodontic application. It is characterized by the fact that it involves the selection of its boundaries. 18- This is the method mentioned in Claim 14, and its characteristic is data collection and sensor evaluation. Camera image shutdown at this step, IMU instability and / or electromyography Detection of signal artifacts using camera data, IMU data, and electromyography data. assigning separate reliability coefficients and analyzing the data based on those coefficients. weighting should be performed and camera, IMU and electromyography data time 25 assigning a stamp, aligning the data in question on a common timeline, and by involving only matching data corresponding to the same time interval It is the characterization of the situation. 19- The method mentioned in Claim 14, its characteristic is; extracting Root 30 from electromyography data. Mean square amplitude, median frequency change, activation time, co-contraction the level and / or calculation of muscle fatigue parameters and the basis of said data 22 Dental-specific electromyography-based ergonomic load index score and / or It includes score generation based on Rapid Upper Extremity Assessment. It is the characterization of the situation. 20- This is the method mentioned in Request 14, and its characteristic is that it provides feedback in step 5. Generating audible, visual and / or haptic warnings depending on the determined risk level; whether the user responds correctly, the response time, and ergonomic risks. determining the change in the score and using this data within predefined security limits within it, user-specific risk thresholds for subsequent work sessions, warning the timing, intensity of the warning, type of warning and / or personal coaching recommendations 10 It is characterized by the fact that it involves its use in adaptation. 21- The method mentioned in Request 14, its characteristic feature is; end of session and / or end of day. In the step of generating ergonomic assessment output, the total ergonomics score is considered risky. Downtime percentage, total risky working time, number of warnings, top 15 areas causing the most strain. The procedure, the most loaded muscle groups, equipment adjustment recommendations, and recommended working positions. This includes creating rest interval recommendations and muscle group-specific exercise recommendations. It is characterized by... 22- The method mentioned in claim 14, its characteristic is; clinical mode and / or faculty mode 20 Data obtained below include physician, student, type of procedure, time zone and / or clinical room. It is characterized by the fact that it involves analysis on a fundamental basis.

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