A wearable knee joint device, system, and method of operation.
Patent Information
- Application Number
- TR202513188
- Authority / Receiving Office
- TR · TR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-09-12
- Publication Date
- 2026-09-21
Smart Images
Figure 00000013_0000
Abstract
Description
1 TARIFF A wearable knee joint device, system, and method of operation. Technical Area The invention enables the early detection of degenerative diseases that can develop as a result of loading on the knee joint. a wearable device that enables detection, a system developed for that device, and a It is related to the working method. State of the Art Current techniques rely on radiological methods to detect degenerative changes in the knee joint. various diagnostic methods such as imaging techniques and measurement of intra-articular biomarkers These methods are used. However, these methods are not routine, especially in the early stages of the disease. Hospital examinations may be insufficient to detect the condition. In the patent document numbered US2018289313 (A1) in the known state of the art Swelling and blood flow parameters in the knee joint can be measured using bioimpedance methods. The text describes a wearable device that measures data. The data collected by this device is embedded within the device. Data is collected and analyzed via sensors. The device mentioned in this document... The knee joint provides information about conditions such as heat, swelling, and sweating. However, movement... During this process, the loading rates of the knee joint are not measured, and this data is artificial. It cannot be monitored with intelligence and machine learning processes. Furthermore, the processing of incoming data takes 20 years. In light of this, it is not possible to provide personalized data on the loading pattern, and at the same time, proactive It is not possible to enter into a process. Patent number US2020289045 (A1) which is included in another known state of the art. The document states that a single sensor monitors the flexion and extension data of the knee joint. The patent refers to a wearable device. This patent is for 25 devices used solely for rehabilitation. It is a structure that aims to provide information about knee range of motion. The invention, also described in the document, involves data on the loading and load-bearing of the knee joint. It is not visible. Although the invention has a mobile application, it does not perform the learning task. And there are no artificial intelligence elements that interpret what they have learned. 2 In another known state of the art, the patent document EP3848006 A1 lists the following: It is a system used in prosthetics that uses sensors to measure movement (e.g., ROM), pressure, speed, etc. It enables the detection and monitoring of data. Sensors wirelessly transmit data to external devices. In theory, a cloud connection can also be established for sending messages. In this patent, a healthy The load being measured is on the prosthesis, not the joint. This can only be done using an internal method. This can be done by using external methods to measure data from the knee joint. It is necessary. The patent in question aims to extend the lifespan of knee implants, and the joint... It is not intended to prolong life or protect against disease. It is taken from the knee joint. Because the data is more dynamic, it is difficult to measure it precisely, and The use of additional technical units is required. 10 In the current technique, the loading rates and load-bearing of the knee joint during movement are considered. measuring data and simultaneously processing this data with artificial intelligence and machine learning processes a personalized upload based on the processing of incoming data using artificial intelligence elements. We need a system that provides pattern data and also engages in a proactive process. It is located. External 15 to measure the loading and load-bearing data of the knee joint. The use of these methods is necessary. Brief Description of the Invention The aim of the invention is to detect degenerative diseases that can develop as a result of loading on the knee joint at an early stage. a wearable device that enables detection during that period, developed for that device It is about establishing a system and a working method. 20 Within this scope, degenerative diseases of the knee joint are diagnosed in the asymptomatic phase, that is, Early detection by identifying load-bearing disorders before symptoms appear. The aim is to provide an opportunity for intervention. In other words, patients in the early stages of the disease Pain may be felt momentarily or intermittently, but standard radiological diagnostic methods Disease diagnosis cannot be made with standard radiological imaging methods. In other words, 25 There is no data available. In fact, it means the disease is not yet developed. In the invention, this Is there a load asymmetry in the process? Is one region of the knee under excessive load? The aim is to detect this. And this is monitored throughout the time the person wears the device. It is possible. The technical problem that is aimed to be solved is the problems occurring in the joints. Detection of asymmetric or pathological loading patterns with the help of artificial intelligence technology 30 This is done through sensors strategically placed around the knee joint. 3 Data such as joint loading and load-bearing data are collected through a specially developed application. both analyzed by artificial intelligence algorithms and related health It can be evaluated by professionals. In the current technique, especially the knee... simultaneous measurement of dynamic loading data from the joint and personalized The absence of a similar system for evaluation makes this invention unique and innovative. 5 This system enables the early detection and prevention of potential problems in the knee joint. By enabling timely preventive measures, it contributes to the optimization of the treatment process. This will provide... In other words, the rationale for developing this invention is that the index is degenerative. This will enable early detection of the processes before they reach pathological dimensions. The problem is the lack of a device that can provide objective quantitative data. Early detection 10 systems that optimize the treatment process and significantly reduce workforce losses It is known that this device enables proactive management of knee health, benefiting both the patient. It contributes to both improving quality of life and reducing healthcare costs. It provides. Since the knee joint has a surface area, which part of this surface area is 15% larger? This is determined by the invention in taking on the load. The method that is the subject of the invention involves machine learning. Because of this feature, the user receives an instant notification when an abnormal loading pattern occurs. It is the ability to provide feedback. The wearable device developed with this invention differs from other diagnostic methods in that it allows the person to... During daily life, the loads on the knee joint are simultaneously and precisely 20 It can detect this with measuring devices. Thanks to this feature, the current diagnosis It differs from other methods by offering an earlier and more accurate assessment opportunity. Our device, with its continuous data collection and analysis capability, can detect the beginning of the degenerative process. This makes it possible to detect the disease at this stage, thus creating an opportunity for early intervention. The unique aspect of this invention is its ability to simultaneously detect the loads on the knee joint, and By viewing this data through a dedicated application, an AI-powered assessment can be performed. Its most striking feature is its ability to do so before or even before the degenerative process begins. Detect load-bearing disorders before symptoms appear (during the asymptomatic period) It is the ability to do so. Thanks to this, potential knee problems can be identified before development even begins. By identifying it during this stage, it provides the opportunity for early intervention. The characteristic is that traditional diagnostic methods can only detect it after symptoms appear. This allows potential problems to be identified at a much earlier stage. 4 The invention involves an external application of the device and data from healthy joint apparatus. The invention aims to prolong the life of the joint and protect it from disease. The device described in the invention measures the loading rates of the knee joint during movement. Because it monitors this data over time using artificial intelligence and machine learning processes, the incoming Based on data processing, we can provide personalized loading pattern data for each individual, and the same This allows for a proactive approach to the process. Figure Explanation 10 Figure 1. Block diagram of the wearable knee joint system, which is the subject of the invention. Explanation of References in Figures To better understand the invention, the parts shown in the figures are individually numbered. The corresponding numbers are given below: 1. System 15 1.1. Knee joint device 1.1.1. Motion detection unit 1.1.2. Pressure sensing unit 1.1.3. Angle sensing unit 1.1.4. Acceleration sensing unit 20 1.1.5. Muscle contraction sensing unit 1.1.6. Temperature sensing unit 1.1.7. Control unit 1.1.8. Energy storage unit 1.1.9. Data storage unit 25 1.1.10. Communications Unit 1.1.11. Current / voltage boosting / filtering unit 1.1.12. Screen 1.1.13. Binding unit 1.2. Device 30 Detailed Description of the Invention Early detection of degenerative diseases that can develop as a result of strain on the knee joint. The system of the invention (1) is designed to enable the detection of the patella to measure muscle activity. At least one motion sensing unit (1.1.1) located in the region, on the sides of the joint at least one pressure sensing unit positioned to measure the pressure value at the joint 5 (1.1.2), at least positioned around the knee joint to detect knee range of motion. an angle sensing unit (1.1.3), at least one accelerometer positioned on the kneecap unit (1.1.4) measures muscle contraction data and is applied to the patella and muscles around the knee. at least one muscle contraction sensing unit (1.1.5) positioned around the knee and to the side at least one 10-inch camera is positioned in the regions to measure the temperature values there. The temperature sensing unit (1.1.6) stores the word in at least one data storage unit (1.1.9). the subject is analyzing the data and determining which movements of the index to focus on. How much pathological load is present, or which movements normalize this load distribution? or if the person has been subjected to increased strain in the same area for a long period of time, this position is dangerous. giving at least one feedback, such as a warning that it might be possible, and at least one pre-defined 15 During the movement, the inner part of the patella is under a lot of stress, or the inner part... There is excessive load on the meniscus in at least one predetermined position. such as user directory loading patterns, i.e., a person's walking and movement habits At least one learning / interpreting control unit (1.1.7) is required to ensure the operation of the device (1.1). at least one energy storage unit that provides the necessary energy for (1.1.8), motion, pressure, angle, 20 at least one data point that enables the storage of data such as acceleration, muscle activity, and temperature. The storage unit (1.1.9) transmits all such data to at least one other electronic device (1.2) at least one communication unit (1.1.10) that enables the wireless transmission of the data in question. If the magnitude is low, at least one current / voltage that increases these values. The enhancement / filtering unit (1.1.11) displays the values / graphs of the data. at least one screen (1.1.12) that enables the knee joint device (1.1) to be wearable. at least one wearable knee joint device containing at least one fastening unit (1.1.13) providing (1.1) and viewing / checking data in an online application at least one other electronic device to which all of the data in question is transmitted wirelessly. (1.2) includes. 30 The control unit (1.1.4) enables the taking of all measurements performed by the device (1.1). It analyzes all the data received. 6 In the invention, the pressure sensing unit (1.1.2) is preferably a piezoelectric sensor. Muscle contraction The sensing unit (1.1.5) is an EMG sensor in the preferred application of the invention. The device (1.1) contained in the system of invention (1) is used to attach to the knee joint. The fastening unit (1.1.13) is preferably a belt. To determine if a person is walking, data from acceleration and motion detection units are used. 5 Factors such as motion, pressure, angle, acceleration, muscle activity, and temperature are considered together. The sensing units that measure the data are preferably positioned in the device that is the subject of this invention. The units will be positioned to achieve the best possible result. The electronic device receiving the data (1.2) is preferably a computer or a portable mobile device. Because the data obtained from the knee joint is more dynamic, it needs to be processed precisely. It is difficult to measure, and for this purpose, the device described in the invention specifically measures current / voltage. Measurement results such as current / voltage obtained using the boost / filter unit (1.1.11) Small values are amplified and transformed into processable data. Early detection of degenerative diseases that can develop as a result of strain on the knee joint. In order to ensure its detection, the system in question (1) follows the steps below: 15 is working: - At least one motion sensing unit located in the patella region (1.1.1) by the user's knee joint muscle activity data, to the sides of the joint pressure sensing unit (1.1.2) positioned in the joint The pressure value is set around the knee joint at 20° to detect the range of motion of the knee. knee movement by at least one angle sensing unit (1.1.3) positioned angles, at least one accelerometer unit positioned on the kneecap (1.1.4), contraction of at least one muscle located on the patella, around the knee. Muscle contraction data is collected by the sensing unit (1.1.5) around the knee and to the side. 25 temperature sensing units located in the regions and collecting temperature data Measurement by (1.1.6), - Analysis of the said data stored in at least one data storage unit (1.1.9) and from the analyses in question, how much and where in which movements of the index pathological load is placed on the body, or which movements normalize this load distribution? If a person has been subjected to increased strain in the same area for a long time, this position is dangerous. 30 at least one feedback such as a warning that it may be a data control unit (1.1.7) 7 given by and while the user is performing at least one predetermined action. The medial part of the patella is under a lot of stress, or there is a pre-existing condition on the medial meniscus. The user directory has too much load in at least one specified position. loading patterns, that is, the person's walking and movement habits Analysis / learning and interpretation by the control unit (1.1.7), 5 - Preferably the data in question is transferred to the mobile application of another electronic device (1.2). transmission by wireless communication units (1.1.10) - Ideally, the data in question should be stored on at least one cloud application. Based on data from all sensing units, how much load does each region of the array carry? 10 It is possible to obtain information about what has been received. This data is used by healthcare professionals. interpreted as meaningful data, this helps in regulating patients' exercise routines and By making certain lifestyle changes, the disease may have been prevented or delayed. Another issue is interpreting the incoming data using machine learning processes. Users are taught directory loading patterns. And what constitutes incorrect directory loading? This can be detected by artificial intelligence, and this data is personalized. Essentially, the method is trained over a period of time using data received by the device. The device in question (1.1) uses existing sensor and embedded circuit technologies in an innovative way. by combining this approach, the biomechanics of the knee joint is studied externally. It is a unique system that enables evaluation (1). The innovative aspect of the system (1) is the sensor 20 integration, specially designed mobile application and AI-powered analysis It is the integrated work of their abilities. Strategically placed around the knee joint. Sensors measure multiple parameters such as motion, pressure, angle, acceleration, muscle activity, and temperature. It is able to do so. In other words, the device (1.1) uses special sensors placed in the knee area. through motion, pressure, angle, acceleration, muscle contraction activity and temperature data 25 It measures. Based on this data, a simultaneous loading map of the knee joint can be created. Thanks to the developed mobile application, the collected data benefits both users and healthcare professionals. It can be easily monitored by professionals. The system (1) is integrated with artificial intelligence. By analyzing data with its technology, it provides 30 services to both users and healthcare professionals. It provides meaningful feedback. Because the data is stored, it allows the patient or individuals to... 8 Historical data can also be examined. Artificial intelligence can track a person's walking and movement. It is able to learn habits and detect mistakes. Data collected from sensors is processed via embedded circuits for wireless communication. The units (1.1.7) preferably include at least one mobile application with Bluetooth technology. is transferred to another electronic device (1.2). 5 in real time on the application This visible data is analyzed using advanced artificial intelligence algorithms to provide personalized information. Specific loading patterns are created. These patterns are based on pre-determined learned information. During at least one movement, the inner part of the patella is under a lot of stress, or the inner part... There is excessive load on the meniscus in at least one predetermined position. These are patterns. This data allows us to react to potential degenerative processes in the future. This provides the following benefits. The users mentioned in the invention are patients suffering from joint pain, and athletes. These individuals may be healthy. If the user is an athlete, the knee may be affected as a result of their sport. They will be able to keep the loads on the joint under constant control. The system (1) both By enabling professional assessments from expert clinicians, personalized developing protective approaches, as well as providing users with support in overload situations. It supports a preventive health approach by providing real-time alerts. These include... First, we need to understand what a systemic disease is, and then identify suboptimal loads. It is possible. Of course, there should be some optimization during the initial use, considering the person's body mass index. Age is an important factor. Also, for data analysis, the person's device must be of a specific type. It needs to be used for a certain period of time. 20 All data is stored in a secure cloud system, allowing for retrospective analysis. and offers the possibility of long-term follow-up. This data accumulation is used in both clinical trials and It also constitutes a valuable resource for treatment planning. Industrial Applicability of the Invention The invention enables the early detection of degenerative diseases that can develop as a result of loading on the knee joint. a wearable device (1.1) that enables its detection, developed for the said device (1.1) It is related to the system (1) and a working method and is applicable to industry. The primary target market for the wearable device described in this invention is healthcare organizations and professionals. These institutions include physiotherapy centers, rehabilitation clinics, and orthopedics clinics. Experts and sports physicians appreciate the objective data analysis and user monitoring offered by the device. 30 Thanks to these features, they will be able to optimize treatment processes. Especially the state 9 in hospitals and for insured physical therapy and rehabilitation treatments, insurance the time frame provided is quite limited and patients have little opportunity for a full recovery. The difficulty of accessing these areas highlights the importance of preventive diagnosis and treatment. This In this context, the invention provides preventive health services in private hospitals and health centers. While it can be used to strengthen athletes, sports clubs and fitness centers offer athletes 5 They will be able to benefit from the system for the protection of their health and the optimization of their performance. Healthcare technology companies, on the other hand, expand their range of services by integrating them into their existing systems. They will be able to expand it. In the individual user segment, the device in question, especially the laptop, Individuals aged 35-65 with a high body mass index (BMI >25) who are at risk of osteoarthritis. or addresses individuals with a family history of the condition. In addition, patellofemoral stress 10 In order to prevent problems such as syndrome, runners, basketball players, and soccer players Active athletes also constitute an important target audience. The system also promotes health awareness. highly technologically advanced and willing to invest in preventive healthcare services. It also appeals to individuals in the upper-middle income bracket. This user group focuses on personal health. By adopting a proactive approach in management, the early warning and prevention offered by the device 15 It will be able to make the most of its features. The invention is not limited to the above descriptions; a person skilled in the field can easily create the invention. It can present different applications. These are the claims of the invention and the protection sought. should be evaluated within this scope. 20 30
Claims
REQUESTS 1. Early detection of degenerative diseases that can develop as a result of strain on the knee joint. In order to ensure its detection; all measurements performed by the device (1.1) must be taken. At least one control unit (1.1.7) that analyzes all data provided / received, the device (1.1) at least one energy storage unit that provides the energy necessary to enable its operation 5 (1.1.8), at least one screen that allows the display of values / graphs of the data. (1.1.12) includes; at least positioned in the patella region to measure muscle activity. a motion sensing unit (1.1.1), positioned on the sides of the joint and in the joint At least one pressure sensing unit (1.1.2) to measure the pressure value, knee movement At least one angle sensing device positioned around the knee joint to detect angles. 10 unit (1.1.3), at least one accelerometer unit positioned on the kneecap (1.1.4), measuring muscle contraction data and on the patella, muscles around the knee at least one muscle contraction sensing unit (1.1.5) positioned around the knee and to the side at least one device is placed in the regions to measure the temperature values there. The temperature sensing unit (1.1.6) stores 15 data in at least one data storage unit (1.1.9). analyzing the data in question and determining which movements of the index from those analyses Where and to what extent is the pathological load placed, or which movements affect this load distribution? It normalizes or, if the person has had increased stress in the same area for a long time, it giving at least one piece of feedback beforehand, such as a warning that the position might be dangerous. The inner part of the patella is under a lot of stress when the user performs at least one defined movement. 20 remaining or in at least one predetermined position on the medial meniscus There is excessive load, such as the loading patterns of the user directory, i.e., the person's walking. and at least one data control unit that learns / interprets movement habits (1.1.7), Storing data such as motion, pressure, angle, acceleration, muscle activity, and temperature. at least one data storage unit providing (1.1.9), all said data in at least one other 25 at least one communication unit that enables wireless transmission to the electronic device (1.2) (1.1.10), which increases these values when the data in question are of low order. at least one current / voltage boosting / filtering unit (1.1.11), for the knee joint in question at least one attachment unit (1.1.13) that enables the device (1.1) to be wearable a wearable knee joint device characterized by its inclusion (1.1). 30 2. Characterized by containing a pressure sensing unit (1.1.2) which is a piezoelectric sensor. a wearable knee joint device as in request 1 (1.1).
3. Characterized by containing a muscle contraction detection unit (1.1.5) which is an EMG sensor. a wearable knee joint device as in request 2 (1.1). 11 4. Early detection of degenerative diseases that can develop as a result of strain on the knee joint. In order to ensure its detection; all measurements performed by the device (1.1) must be taken. At least one control unit (1.1.7) that analyzes all data provided / received, the device (1.1) at least one energy storage unit that provides the energy necessary to enable its operation (1.1.8), at least one screen that allows the display of values / graphs of the data. 5 a wearable device (1.1) containing (1.1.12) and all said data wirelessly containing at least one other electronic device (1.2) to which it is transmitted; to measure muscle activity At least one motion sensing unit located in the patella region (1.1.1), joint placed on either side and at least one pressure gauge to measure the pressure value on the joint. The sensing unit (1.1.2) is placed around the knee joint to detect the angles of knee movement. at least one angle sensing unit positioned on the kneecap (1.1.3) at least one accelerometer (1.1.4) positioned to measure muscle contraction data and detecting at least one muscle contraction located on the patella, in the muscles around the knee. The unit (1.1.5) is placed around the knee and side areas and the temperature here At least one temperature sensing unit (1.1.6) for measuring values, at least one data 15 analyzing the data stored in the storage unit (1.1.9) and the said data The analyses reveal which movements of the knee place what level of pathological load on which part of the knee, or Which movements normalize this load distribution, or can a person do for a long time? If the load in the same area has increased, there should be at least one warning that this position may be dangerous. The notification is given and the patella 20 when the user performs at least one predetermined action. The inner part is under a lot of stress or there is a predetermined stress on the inner meniscus There is too much load in a small position, like the user directory loading. at least one that learns / interprets patterns, i.e., a person's walking and movement habits. Data control unit (1.1.7) monitors data such as motion, pressure, angle, acceleration, muscle activity and temperature. at least one data storage unit (1.1.9) that enables the storage of data, the 25 all data preferably from at least one other computer or portable mobile device. at least one communication unit that enables wireless transmission to the electronic device (1.2) (1.1.10), which increases these values when the data in question are of low order. at least one current / voltage boosting / filtering unit (1.1.11) and the knee joint in question at least one 30-inch strap, preferably a belt, that enables the device (1.1) to be wearable. It is characterized by containing a wearable device (1.1) with a fastening unit (1.1.13). a system (1).
5. Characterized by containing a pressure sensing unit (1.1.2) which is a piezoelectric sensor. The requested system is like the one in 4 (1). 12 6. Characterized by containing a muscle contraction detection unit (1.1.5) which is an EMG sensor. The requested system is like the one in 5 (1).
7. Early detection of degenerative diseases that can develop as a result of strain on the knee joint. in order to make the determination; - At least one motion sensing unit located in the patella region (1.1.1) 5 by the user's knee joint muscle activity data, to the sides of the joint pressure sensing unit (1.1.2) positioned in the joint the pressure value is applied around the knee joint in a way that detects the knee's range of motion. knee movement by at least one angle sensing unit (1.1.3) positioned angles, at least one acceleration sensing unit positioned on the kneecap 10 (1.1.4), contraction of at least one muscle located on the patella, around the knee. Muscle contraction data is collected by the sensing unit (1.1.5) around the knee and to the side. temperature data is collected by at least one temperature sensing unit located in the regions. Measurement by (1.1.6), - Analysis of the said data stored in at least one data storage unit (1.1.9) 15 and from the analyses in question, how much and where in which movements of the index pathological load is placed on the body, or which movements normalize this load distribution? If a person has been subjected to increased strain in the same area for a long period of time, this position is dangerous. at least one feedback such as a warning that it may be a data control unit (1.1.7) 20 when given by and the user performs at least one predetermined action. The medial part of the patella is under a lot of stress, or there is a pre-existing condition on the medial meniscus. The user directory has too much load in at least one specified position. loading patterns, that is, the person's walking and movement habits to be analyzed / learned and interpreted by the control unit (1.1.7), - Preferably, the data in question should be transferred to the mobile application of another electronic device (1.2) 25 transmission by wireless communication units (1.1.10) - Preferably, the data in question should be stored on at least one cloud application. A system working method characterized by its inclusion of steps.