AU2020101864A4 - Remote pain monitoring system for knee joint pain of elderly people - Google Patents

Abstract

REMOTE PAIN MONITORING SYSTEM FOR KNEE JOINT PAIN OFELDERLYPEOPLE ABSTRACT Telemedicine pertains to medical facilities and relevant data afforded via the internet and associated innovations to promote welfare and health relevant domains. Specialization on bones and joints is a category of medication called Orthopedics. Yet progressively, patients and professionals notice that specialists can treat patients with some musculoskeletal injuries through telehealth. Doctors may analyze signs and behavior during a teleconferencing and prescribe adequate treatment. The invention promotes a remote pain monitoring device to diagnose the knee join injuries of elderly people that ensures real time facility using battery-powered wearable devices. This proposal uses the wearable devices to capture the knee- joint injuries information connected via wireless connection. The acquired medical data is analyzed, processed, and stored in the cloud through gateway. The gathered medical information like tracking data is stored into the cloud server like Amazon, Microsoft Azure, and IBM. The medical data is accessed from the cloud server by the specialists either mobile devices or clinical server. Based on the retrieved information about the patient, the specialist will medicate the injured patients by remotely like teleconferencing. The key premise is to construct and improve a framework that offers a strategy to provide home-based exercise activities to patients and supervise the improvements in patient therapy that enables interaction between the patient and specialists and physical therapists. This approach enhances relatively higher performance of the pain monitoring device and minimizes the energy utilization. 1|Page REMOTE PAIN MONITORING SYSTEM FOR KNEE JOINT PAIN OF ELDERLY PEOPLE Drawings PATIENT HOME 55G WIERELIESS DEVICES oGAE Y CLOUD SERVER KNE E JOINT WITH SENSORS Figure 1: Remote monitoring system for knee joint 1|Page

Description

REMOTE PAIN MONITORING SYSTEM FOR KNEE JOINT PAIN OF ELDERLY PEOPLE

Drawings

PATIENT HOME

55G

WIERELIESS DEVICES oGAE Y CLOUD SERVER

KNE E JOINT WITH SENSORS

Figure 1: Remote monitoring system for knee joint

1|Page

REMOTE PAIN MONITORING SYSTEM FOR KNEE JOINT PAIN OF ELDERLY PEOPLE

Description

Field of the Invention:

This invention relates to model the remote pain monitoring system for knee joint pains of elderly people. Mobile medical tracking, centered on non-invasive and portable detectors, controllers and advanced connectivity and technology development, provides secure and cost - efficacious approach that enables the older people to stay in their safe residential facility rather than lavish medical facilities. Such devices would also enable medical professionals to regulate critical clinical indications of their patients in real time, evaluate medical symptoms and receive suggestions from remote facilities.

Background of the invention:

Knee inflammation is among the main causes of injury, lack in movement, prohibiting the opportunity to facilitate tasks on a regular basis. Musculoskeletal discomfort and rheumatoid arthritis is also correlated with heavy financial forces. Since joint pain is a possible indicator of osteoarthritis of the knee, avoidance of pain and early recovery are important solutions towards plausible.

Yoon et al developed a piezoelectric pressure sensor that was mounted on the skin and illustrated its usefulness in the HR calculation by observing the heart rate in the living beings arteries. The pressure sensor was built on a polyimide substrate with a narrow aperture. A temperature vaporized silver electrode was spin-coated along with a polyvinylidene fluoride trifluoroethylene piezoelectric sheet. The pressure difference in the temporal nerve induces physical strain to the piezoelectric material, leading to possible variability around the electrodes.

Tajitsu et al installed a piezo-resistive pressure detector in the wearable device for HR traceability. The piezoelectric substance was constructed from nonwoven acrylate-altered polytetrafluoroethylene (PTFE) material that was processed using magneto-spinning. The PTFE was mounted on an aluminum electrode in a polyethylene terephthalate sample. The stimulus stream assessed from the forearm by this detector had a consistent trend to the ECG pattern and demonstrated high precision as well as decreased susceptibility to movement-induced noise.

1|Page

Izumi et al have devised handheld sensors that integrate a near field communication unit, a three axis gyroscope and an ECG processing module. The chip was configured to achieve data collection, interpret ECG and accelerometer sensors, and coordinate with your smartphone. The R-peak forecasting and HR calculation was conducted using a short-term autocorrelation (STAC) among the reference signal and the calculated signal. The chip was manufactured using the reference 130 nm CMOS process. The device has been revealed to utilize -13.7. The recent and implements the tracking facility for approximately 24 days using a 35 mAh charger.

Helleputte et al suggested the concept of an interconnected 3-channel bio-possible data gathering circuit. Each path tests both ECG and electrode-tissue impedance (ETI) that are observed to be closely associated with movement effects. Moving anomalies are measured in real-time employing an adjustable LMS filter and extracted from the ECG waveform prior to acceleration.

Derawi et al have introduced an action and motion identification scheme on a smartphone. They calculated the data on the body posture with the aid of the handheld gyroscope. Application code has been designed for smartphones that have achieved identification, standardization, gate period average, movement and body posture recognition. The model used the distance measure of Manhattan to evaluate the mean trajectory of the sample set consists of three distinct layout posture cycles, relating to three separate running speeds. The authors have used both mathematical and machine learning methods to distinguish among three distinct walking paces and have gained extreme accuracy from the support Vector Machine mechanism. Moreover, such approaches are based on specific plateau and valley tracking that is prone to discrepancies in walking pace and design.

Bruckenthal P et al promoted CMP therapy that emphasizes on the avoidance of discomfort, allowing it seem more endurable and increasing the health of patients. Take into account the necessities of particular elderly people and clarifies their interpretations of the results of pain management. Treatment of suffering should be performed separately including in line with the universal standards. Interdisciplinary care services are incorporating many types of pharmacology and non-pharmacology diagnosis has shown effectiveness in the treatment of pain in elderly adults. Conversely, such services do not seem to be adopted widely, since elderly people are less inclined to obtain this care in pain control facilities with less patient care while accessing these facilities owing to scarcity of provision.

21Page

D'Astolfo et al highlighted that the CMP is a huge constraint on the National healthcare organizations. It is perceived to be the most complicated and expensive illness in spite of healthcare services sector, exceeded only by cancer and heart sickness.

This proposal contributes the cost effective remote monitoring system to assess the knee joint pain for older people. This system yields more accuracy of detection and provides the positive feedback that describes the utilization of rehabilitation tracking process.

Objects of the Invention:

* The main objective is to develop the efficient remote monitoring system to assess the knee joints of elderly people with cost effectiveness. * Another objective is to enhance the communication among the health care provider and older people and to recommend the therapies for knee joint pain based on the sensed information.

Summary of the Invention:

Forearm discomfort is a typical distress in musculoskeletal injuries. It primarily emphasizes on the posterior or marginal portion of the junction of the knee. Knee problems is a hazard aspect that is closely correlated with knee osteoarthritis ( OA) that is most definitely linked to mass-bearing, forceful exertions, overweight, and crouching. E-Health defines the health care services and medical data is distributed via the Internet and modem relevant technologies in accordance to assist health of the individuals and health care professional sectors.

To develop the recovery management mechanism, the workflows of the recovery unit have been analyzed accordance to illustrate the communication and collaboration among individuals and medical professionals. Physical therapy and people suffering knee problems were the primary beneficiaries of the framework and the specifications for both groups of clients were examined. The key goal was to formulate and execute a framework which might offer an alternative to bringing home-based rehabilitation services to patients and to track user remediation performance.

The proposal employs motion sensors like accelerometers, temperature, bend and gyroscopes for gathering the medical data from the older people who injured by knee join pain. Bend sensors are deployed for prolonged observation of the muscle activation and stretch of the knee joined of older people. Temperature sensors are used for checking the temperature frequently and accelerometers for detecting the daily activities including walking, standing, lying and sitting. The wearable

3 1P a g e devices are extremely lightweight, can be carried 24x7 across rehabilitation, and will be distributed automatically when and only when within the range of the corresponding device.

The detector is responsible of evaluating the location of the human body, the freezing relative humidity, the conformance practice, and each flex and outgrowth of the knee. The sensed information can be accessed via modem technological devices like smart phones, laptops with the aid of high speed internet like 5G communication standard. The IoT gateway is deployed for gather all the information from the sensor and stored into the cloud server like IBM, Microsoft Azure and amazon web services.

The medical information of the patient is further processed by the business intelligence tools like Sisense. Healthcare BI tools that evaluates the medical information in EHRs and cloud servers which is equipped for individual elder people. The other side includes doctors, healthcare professionals and expertise that provide the recommendations about the practical exercises and medications based on the medical report that is accessed via the gateway from the cloud server. The therapy recommendations are revealed to the older people through video conferencing or mobile phone conversations with the support of high speed internet that improves the secured communication among the therapist and older people.

Detailed Description of the Invention:

Figure 1 illustrates the framework of remote monitoring system for older people to evaluate the knee joint injuries. The sensors like bend sensor, temperature sensor and accelerometer are used to acquire the information from the individual human body. The sensed information is accessed by using mobile phones, tablets and laptops with high speed internet including 5G communication standard.

The IoT gateway is act as intermediate between the sensors and the cloud server. The cloud server is merged along with HER of the individual patient. The sensed information is processed by using business intelligence tools like Sisense. The processed information is accessed by the health care professionals like doctors and health care providers through the gateway with high security. This framework provides the recommended practical exercises based on their health condition and enhances the communication among the providers and patients via video conferencing or mobile phones. Medical professionals and patients had positive perceptions towards the recovery tracking system. The program allows physiotherapy and visitors to interact with one another effectively. Physical therapists suggested that this device was helpful for informing them of the recommended

41Page activity given per each person. Patients indicated that this program allowed them to properly remember workout guidance and obey the workout schedule. In fact, both patients were satisfied with the tracking feature as they were able to properly-check their rehabilitation progress. Physical therapists and patients accepted that this program did not incorporate further activities or that it did not have complex features since web applications and internet facilities are often used by the individuals.

Figure 2 explains the architecture of Sisense business analytical tool for analyzing the medical information of individual people. Sisense is a user-friendly tool that enables anyone from healthcare organization to manipulate massively high volume and complex medical information for analysing and display the information without assistance of information technologies. The Sisense analytics solution reduces the duration it requires to create, integrate and launch smart predictive analytics that cause consumer innovation and interaction. If it's customizable control systems, self-service reporting, or pale skinned-labelled BI software, Sisense offers the profession's cheapest TCO on a virtual cloud platform.

51Page

Claims (7)

1. REMOTE PAIN MONITORING SYSTEM FOR KNEE JOINT PAIN OFELDERLYPEOPLE

   CLAIMS: 1. The compatible remote monitoring system comprises of Sensor devices which includes bend sensor, temperature and accelerometers are used to sense the knee joint parts of the human body. Modem technology devices like smart phones, laptops are used to access the information from the older people via the sensors about the health condition. An electronic device that can be used along with the high speed internet facilities like 5G communication standard.
2. 2. The claim also consists of sensors, Bend sensors are used to continuous evaluation of muscle stretching and extension problem of the older people. Temperature sensors are utilized for analysing the temperature variations of the patient. Accelerometer is employed to identify the various activities of individuals like lying, sitting, standing and walking.
3. 3. From claim 2, The collected information is processed by using some pre-processing methodologies to enhance the quality of the information.
4. 4. For claim 1, The IoT gateway is promoted to distribute the medical data to the cloud server from the sensors.
5. 5. The claim 1 also includes, Cloud servers like IBM, Amazon web services and Microsoft azure that is used to store the medical information, which is sensed by the sensors. The collected information is processed prior to the storage purpose.
6. 6. For claim 5, the cloud servers utilize the business intelligence tools like Sisense for further data processing and visualization.
7. 7. The recipient side gateway is used to access the information of the patient through the gateway. The healthcare professionals, doctors and experts are the people who utilize the medical data from cloud server. They provide the practical exercises to the elder people based on the acquired information. This framework provides the communication between the healthcare providers and the patient or elder people about the monitoring of health condition.

   1|Page

   REMOTE PAIN MONITORING SYSTEM FOR KNEE JOINT PAIN OF 17 Aug 2020

   ELDERLY PEOPLE

   Drawings 2020101864

   Figure 1: Remote monitoring system for knee joint

   1|Page

   Figure 2: Sisense architecture

   2|Page