WO2022146402A1 - A mobile measurement system for evaluating rigidity - Google Patents

A mobile measurement system for evaluating rigidity Download PDF

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Publication number
WO2022146402A1
WO2022146402A1 PCT/TR2021/051655 TR2021051655W WO2022146402A1 WO 2022146402 A1 WO2022146402 A1 WO 2022146402A1 TR 2021051655 W TR2021051655 W TR 2021051655W WO 2022146402 A1 WO2022146402 A1 WO 2022146402A1
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WO
WIPO (PCT)
Prior art keywords
force
patient
value
mobile
wrist
Prior art date
Application number
PCT/TR2021/051655
Other languages
French (fr)
Inventor
Ugur DINCER
Gunay ZUNGOR
Evren Samur
Cetin YILMAZ
Muhittin Cenk AKBOSTANCI
Sabiha TEZCAN AYDEMIR
Fatma Nazli DURMAZ CELIK
Original Assignee
Bogazici Universitesi
T.C. Ankara Universitesi Rektorlugu
Eskisehir Osmangazi Universitesi
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Priority claimed from TR2020/22818A external-priority patent/TR202022818A1/en
Application filed by Bogazici Universitesi, T.C. Ankara Universitesi Rektorlugu, Eskisehir Osmangazi Universitesi filed Critical Bogazici Universitesi
Publication of WO2022146402A1 publication Critical patent/WO2022146402A1/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1101Detecting tremor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/45For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4538Evaluating a particular part of the muscoloskeletal system or a particular medical condition
    • A61B5/459Evaluating the wrist
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • A61B5/6824Arm or wrist
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0247Pressure sensors
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays

Definitions

  • the invention relates to a mobile measurement system for measuring quantitatively the wrist rigidity, which is one of the cardinal symptoms of Parkinson’s disease.
  • Parkinson’s disease is a progressive movement disorder disease that occurs as a result of the gradual reduction of brain cells with a substance called dopamine, which is produced by the cells responsible for the control, harmony and continuity of movements in the brain, and which allows brain cells to communicate with each other. Parkinson’s disease, is a movement disorder characterized by tremor, bradykinesia, rigidity and postural instability.
  • Rigidity is one of the important symptoms of Parkinson’s disease. Rigidity is a state of increased resistance against the passive movement in the muscles around the joint that continues during the movement. Normally, while the muscles should be soft, loose and slightly stiff at rest, in the presence of rigidity, the muscles are constantly stiff even at rest, and there is a palpable prominent stiffness in the muscles.
  • rigidity examination is the clinical characteristic that gives the fastest response to surgery in patients who underwent subthalamic nucleus deep brain stimulation (STN-DBS), which is an effective and safe treatment in the motor complication phase. Therefore, the rigidity response is typically used since it does not fluctuate, responds to stimulation adjustments within seconds, and does not depend on patient fatigue or cooperation, when testing whether the electrodes are placed properly or not during the STN-DBS surgery, and during programming the stimulator following the surgery to evaluate the effect of stimulation (ref 1 ). While stiffness disappears within 20 seconds when active stimulation is turned on, the rigidity returns within one minute after stopping the stimulation (ref 2).
  • STN-DBS subthalamic nucleus deep brain stimulation
  • ref 1 Temperli P, Ghika J, Villemure J-G, Burkhard PR, Bogousslavsky J, Vingerhoets FJG. How do parkinsonian signs return after discontinuation of subthalamic DBS? Neurology. (2003) 60:78-81.
  • ref 2 Koeglsperger T, Palleis C, Hell F, Mehrkens JH, Botzel K. Deep Brain Stimulation Programming for Movement Disorders: Current Concepts and Evidence-Based Strategies. Front Neurol. 2019 May 21 ;10:410. doi: 10.3389/fneur.2019.00410.
  • PMID 31231293
  • PMCID PMC6558426.
  • the present invention relates to a mobile measurement system for use in evaluating rigidity in order to eliminate the above-mentioned disadvantages and bring new advantages to the related technical field.
  • An object of the invention is to provide a mobile measurement system for measuring quantitatively the wrist rigidity which is one of the cardinal symptoms of Parkinson’s disease.
  • the present invention relates to a mobile measurement system for measuring the wrist rigidity quantitatively of a patient with Parkinson’s disease by means of a force applied to a mobile device screen. Accordingly, its novelty is that; it comprises a force determination unit for determining the force value applied by the user to a reference point provided on the mobile screen placed in the patient’s hand whose rigidity is to be measured, an angular measurement unit for measuring angular displacement value of the wrist of the patient’s hand due to the user moving the mobile device; a processor unit for receiving data from the force determination unit and the angular measurement unit; that said processor unit is configured to; allow the force value determined by the force determination unit to be obtained; to allow a torque value to be calculated from the relationship between the force value using a distance information expressing the distance between said reference point and the wrist of the patient’s hand; to allow the rigidity value to be determined by calculating the ratio of the calculated torque value to the angular displacement.
  • the wrist rigidity value for measuring the wrist rigidity quantitatively of a patient with Parkinson’s
  • a possible embodiment of the invention is characterized in that; it comprises a mobile force apparatus to be placed between the patient’s hand and the reference point.
  • the rigidity value can be measured by means of a mobile force apparatus without using directly the user’s hand.
  • Another possible embodiment of the invention is characterized in that said mobile force apparatus has a tip made of a flexible conductive and/or semi-conductive material.
  • the tip is allowed to be spread on the screen in proportion to the applied force.
  • the force determination unit is configured to allow determination of the force value that corresponds to the area covered on the screen depending on the force applied by the user on the screen.
  • the force determination unit is a force sensor so that the force applied by the user on the screen is measured.
  • Yet another possible embodiment of the invention is characterized in that the processor unit is configured in such a way that the force information corresponding to the area covered on the screen as a result of the force applied by the user to the reference point, is predetermined by the calibration process.
  • Yet another possible embodiment of the invention is characterized in that it comprises a memory unit provided to contain the force values determined as a result of the calibration process.
  • Still another possible embodiment of the invention is characterized in that it comprises a distance measurement unit for measuring the distance between the reference point and the wrist of the patient’s hand.
  • Figure 1 a representative view of a mobile measurement system that calculates the wrist rigidity value of a patient with Parkinson’s disease as a result of applying a force to a mobile device screen with a user’s hand, is given.
  • the invention relates to a mobile measurement system (10) designed with an innovative architecture for measuring quantitatively the wrist rigidity (30) which is one of the cardinal symptoms of Parkinson’s disease.
  • said mobile measurement system (10) comprises a mobile device (11 ).
  • Said mobile device (11 ) comprises a touch screen (12) provided.
  • the mobile measurement system (10) measures quantitatively the wrist rigidity (30) of the patient by means of a force applied by a user to said reference point (121).
  • the user can be the person performing the measurement; in other words, a physician, an engineer, the patient themselves, etc.
  • the mobile measurement system (10) comprises a force determination unit (16) to allow the force value applied by the user to the reference point (121) to be determined.
  • an angular measurement unit (17) for measuring the angular displacement value of the mobile device (11) with respect to the wrist of the patient’s hand (15) due to the user moving the mobile device (11 ).
  • a position sensor can be used for measuring the amount of displacement provided to the mobile device (11).
  • an optical sensor can be used for measuring the amount of displacement provided to the mobile device (11 ).
  • a processor unit (18) configured to receive data from the angular measurement unit (17) and the force determination unit (16). Said processor unit (18) allows to obtain the force value determined by the force determination unit (16).
  • the processor unit (18) allows to calculate a torque value from the relationship between the force value and the distance information expressing the distance between reference point (121 ) and the wrist of the patient’s hand (15).
  • the processor unit (18) also allows to calculate the wrist rigidity of the patient’s hand (15) by calculating the ratio of the calculated torque value to the angular displacement obtained from the angular measurement unit (17).
  • Said mobile force apparatus (13) has a tip (131) made of a flexible conductive and/or semi-conductive material.
  • Said tip (131) is placed on a main body (132).
  • the tip (131 ) is formed by curing the mixture poured into a mold placed on said main body (132) and then separating the mold from the main body (132).
  • said mixture contains mold silicone in an amount of 75% and copper powder in an amount 25%.
  • the shape of the tip (131) may vary according to the shape of the mold placed on the main body (132).
  • the tip (131 ) is formed by means of a spherical mold. In another preferred embodiment of the invention, the tip (131) is formed by means of a cylindrical mold. There is a cover (133) joined in a way that it can be attached and detached on the surface of the main body (132) in which the tip (131) is not provided.
  • the mobile force apparatus (13) comprises three main components, that is, at least one tip (131), a main body (132) and at least one cover (133).
  • the mold silicone is cured by pouring the mold silicone into cylindrical molds around the tip (131) on the main body (132), thereby auxiliary components having insulating properties are formed.
  • the auxiliary components comprise at least three insulating parts around the tip (131 ).
  • the mobile force apparatus (13) may be provided in different designs as long as it functions in the same way. Mobile force apparatus (13) for example; is provided to be used in situations where the accuracy of the measurement data measured as a result of the application of force by a user having sweaty hands on the screen (12) of the mobile device (11 ) is not certain.
  • the force determination unit allows to determine the force value applied by the user to the reference point (121) with said mobile force apparatus (13).
  • the force determination unit (16) allows to determine the area occupied by the tip (131) of the mobile force apparatus (13) on the screen (12) in response to the force applied by the user.
  • the processor unit (18) allows to determine the force value corresponding to the determined area.
  • the magnitude of the force applied on the screen (12) increases in direct proportion to the area occupied by the tip (131 ) on the screen (12).
  • the obtained force value is determined by a predetermined calibration process for each area occupied by the tip (131) on the screen (12). With the calibration process, depending on the force applied before on the screen (12) of the mobile device (11) the area information measured on the screen (12) is determined.
  • the force values corresponding to each determined area information are stored in a memory unit (19).
  • the distance of the wrist of the patient’s hand (15) to the reference point (121 ) is pre-measured by means of an an auxiliary component, etc., thereby the distance measurement unit (20) can be entered via a user interface that allows to enter a user input.
  • the processor unit (18) allows to calculate a torque value from the relationship between the force value obtained from the force determination unit (16) and the distance information obtained from the distance measurement unit (20).
  • the angular displacement that occurs when the user moves the mobile measurement system (10) is measured by the angular measurement unit (17).
  • the processor unit (18) allows to calculate the wrist rigidity (30) by calculating the ratio of the calculated torque value to the angular measurement value.
  • force is applied to the reference point (121 ) by the user’s hand (14).
  • the force determination unit (16) allows to determine the force value applied by the user to the reference point (121).
  • the force determination unit (16) allows to determine the area occupied by the user’s hand (14) on the screen (12) in response to the force applied by the user.
  • the magnitude of the force applied on the screen (12) increases in direct proportion to the area occupied by the user’s hand (14) on the screen (12).
  • the processor unit (18) determines the force value applied from the memory unit (19).
  • the value of the angular displacement occurred due to the movement of the mobile device (11) as a result of the movement of the wrist of the patient’s hand (15) is measured by the angular measurement unit (17).
  • at least one distance sensor is used as said distance measurement unit (20).
  • the distance of the wrist of the patient’s hand (15) to the reference point (121 ) is pre-measured by means of an an auxiliary component, etc., thereby the distance measurement unit (20) can be entered via a user interface that allows to enter a user input.
  • the processor unit (18) allows to calculate a torque value from the relationship between the force value obtained from the force determination unit (16) and the distance information obtained from the distance measurement unit (20).
  • the angular displacement that occurs when the user moves the mobile measurement system (10) is measured by the angular measurement unit (17).
  • the processor unit (18) allows to calculate the wrist rigidity (30) by calculating the ratio of the calculated torque value to the angular measurement value.
  • force is applied to the reference point (121 ) by the user’s hand (14).
  • the force determination unit (16) allows to measure the force value applied by the user to the reference point (121 ).
  • An electronic device such as a force sensor etc. which is provided in the mobile device (11) is used as the force determination unit (16).
  • at least one distance sensor is used as said distance measurement unit (20).
  • the distance of the wrist of the patient’s hand (15) to the reference point (121 ) is pre-measured by means of an an auxiliary component, etc., thereby the distance measurement unit (20) can be entered via a user interface that allows to enter a user input.
  • the processor unit (18) allows to calculate a torque value from the relationship between the force value obtained from the force determination unit (16) and the distance information obtained from the distance measurement unit (20).
  • the angular displacement that occurs when the user moves the mobile measurement system (10) is measured by the angular measurement unit (17).
  • the processor unit (18) allows to calculate the wrist rigidity (30) by calculating the ratio of the calculated torque value to the angular measurement value.
  • the mobile measurement system (10) should be held by the patient’s hand (15) with Parkinson’s disease to measure the rigidity of the patient.
  • a user applies a force to the reference point (121) on the screen (12) of the mobile device (11 ).
  • the user (physician or person qualified to use the device) gently grasps the patient’s hand (15) and applies a force slight enough to create a passive joint movement starting from the neutral position first, and moves the patient’s hand (15) such that it extends and flexes (up and down movement of the wrist without changing the initial position).
  • a reaction force is applied by the patient’s hand (15) to the mobile device
  • the applied force can be directly determined via the force determination unit (16). If the mobile device (11 ) does not have a force measurement system, the area occupied on the screen (12) of the mobile device (11 ) that depends on the applied force is measured via the force determination unit (16).
  • the force determination unit (16) allows to determine the force value stored in the memory unit (19) that corresponds to the measured area.
  • the force value determined by the force determination unit (16) is transmitted to the processor unit (18).
  • the distance of the patient’s hand (15) from the reference point (121) to the wrist is measured by a distance measurement unit (20).
  • the distance measurement (20) information is transmitted to the processor unit (18).
  • the processor unit (18) allows to calculate a torque value according to the force information and the distance measurement information.
  • the value of the angular displacement occurred due to the user moving the mobile measurement system (10) is measured by the angular measurement unit (17).
  • the measured angular measurement value is transmitted to the processor unit (18).
  • the processor unit (18) allows to calculate the wrist rigidity value of the patient’s hand (15) by calculating the ratio of the calculated torque value to the angular measurement value.
  • the processor unit (18) allows to save the calculated rigidity values to the memory unit (19) for later use.
  • the smartphone together with the mobile force apparatus (13) placed on the smartphone should be held by the patient to measure the wrist rigidity (30) of the patient with Parkinson’s disease.
  • the mobile force apparatus (13) placed on the smartphone, together with the patient’s hand (15) and the mobile measurement system (10) should be held by the user such that the patient’s hand (15) is not bent, which is called the neutral position.
  • the patient’s hand (15) is made to extend and flex respectively, with the smartphone and mobile force apparatus (13) they hold.
  • a force is transferred from the user’s hand (14) to the mobile force apparatus (13).
  • a reaction force is applied by the patient’s hand (15) to the mobile device (11) depending on the wrist rigidity (30) of the patient with Parkinson’s disease.
  • the conductive flexible tip of the mobile force apparatus (13) is allowed to be spread on the screen (12) of the smartphone, depending on the magnitudes of the force transferred from the user’s hand (14) to the mobile force apparatus (13) and the reaction force applied from the patient’s hand (15) to the mobile device (11 ).
  • the force value corresponding to the contact area due to said spreading is predetermined and saved to the memory of the smartphone.
  • the processor of the smartphone allows to determine the force value corresponding to the contact area from the memory of the phone.
  • the processor of the phone also allows to obtain the distance value between the wrist of the patient’s hand (15) and the screen (12) of the mobile device (11) from a distance sensor provided to the phone.
  • the processor allows to determine a torque value by calculating the ratio of the force value to the distance value.
  • the processor of the phone also allows to obtain the amount of angular displacement occurred due to the user moving the phone from a position sensor provided to the phone.
  • the processor of the phone allows to calculate the wrist rigidity value of the patient’s hand (15) by proportioning the calculated torque value to the angular measurement value.
  • the processor unit (18) allows to instantaneously save the calculated wrist rigidity (30) value to the memory unit (19).
  • the calculated wrist rigidity (30) values can be transmitted to a remote server so that they can be checked by other qualified persons, physicians, etc.
  • a user connecting to said server to can access the patient’s rigidity values, including date and time data.
  • the user can easily and quickly measure the wrist rigidity (30) value and even optionally transmit the measured data to the respective users.
  • the mobile measurement system (10) should be held by the patient to measure the wrist rigidity (30) of the patient with Parkinson’s disease.
  • the smartphone and the patient’s hand (15) should be held by the user in the neutral position.
  • the patient’s hand (15) is made to extend and flex respectively, with the mobile device (11).
  • a force is transferred from the user’s hand (14) to the contact point on the screen (12).
  • the mobile device (11) comprises a force sensor.
  • a reaction force is applied by the patient’s hand (15) to the mobile device (11) depending on the wrist rigidity (30) of the patient.
  • the force transferred from the user’s hand (14) to the screen (12) and the reaction force applied from the patient’s hand (15) to the mobile device (11) are measured by the force sensor.
  • the distance value between the wrist of the patient’s hand (15) and the screen (12) is measured by a distance sensor provided to the phone.
  • the processor unit (18) allows to determine a torque value by proportioning the force value obtained from the force sensor and the distance information obtained from the distance sensor.
  • the processor unit (18) also allows to obtain the amount of angular displacement occurred due to the user moving the phone from a position sensor (11 ) the phone.
  • the processor unit (18) allows to calculate the wrist rigidity value of the patient’s hand (15) by proportioning the calculated torque value to the angular measurement value.
  • the processor unit (18) allows to instantaneously save the calculated wrist rigidity (30) value to the memory.
  • the processor unit (18) allows to instantaneously save the calculated wrist rigidity (30) value to the memory.
  • the calculated wrist rigidity (30) values can be transmitted to a remote server so that they can be checked by other qualified persons, physicians, etc.
  • a user connecting to said server to can access the wrist rigidity values of the patient’s hand (15), including date and time data.
  • the user can easily and quickly measure the wrist rigidity (30) value and even optionally transmit the measured data to the respective users.

Abstract

The invention relates to a mobile measurement system (10) for measuring the wrist rigidity (30) quantitatively of a patient with Parkinson's disease by a force applied on the screen (12) of a mobile device (11). Accordingly, its novelty is that; it is characterized in that it comprises a force determination unit (16) for determining the force value applied by the user to a reference point (121) provided on the screen (12) of the mobile device (11) placed in the patient's hand (15) whose wrist rigidity (30) is to be measured, an angular measurement unit (17) for measuring angular displacement value of the wrist of the patient's hand (15) due to the user moving the mobile device (11); a processor unit (18) for receiving data from the force determination unit (16) and the angular measurement unit (17); in that said processor unit (18) is configured to; allow the force value determined by the force determination unit (16) to be obtained; to allow a torque value to be calculated from the relationship between the force value using a distance information expressing the distance between said reference point (121) and the wrist of the patient's hand (15); to allow the rigidity value to be determined by calculating the ratio of the calculated torque value to the angular displacement.

Description

A MOBILE MEASUREMENT SYSTEM FOR EVALUATING RIGIDITY
TECHNICAL FIELD
The invention relates to a mobile measurement system for measuring quantitatively the wrist rigidity, which is one of the cardinal symptoms of Parkinson’s disease.
PRIOR ART
Parkinson’s disease is a progressive movement disorder disease that occurs as a result of the gradual reduction of brain cells with a substance called dopamine, which is produced by the cells responsible for the control, harmony and continuity of movements in the brain, and which allows brain cells to communicate with each other. Parkinson’s disease, is a movement disorder characterized by tremor, bradykinesia, rigidity and postural instability.
Rigidity is one of the important symptoms of Parkinson’s disease. Rigidity is a state of increased resistance against the passive movement in the muscles around the joint that continues during the movement. Normally, while the muscles should be soft, loose and slightly stiff at rest, in the presence of rigidity, the muscles are constantly stiff even at rest, and there is a palpable prominent stiffness in the muscles.
In traditional methods, rigidity is evaluated with neurological examination carried out by physicians. The physician asks the patient to voluntarily relax their muscles and get permission to move their limbs passively. S/he qualitatively evaluates the stiffness by applying a force sufficient to passively move the wrist joint of the patient’s hand. Stiffness in the muscles is usually became evident by distracting the patient or by asking the patient to perform movements such as opening and closing fingers, clenching and unclenching fists in the contralateral limbs (activation maneuver). Increased resistance throughout the passive movement exhibits a uniform pattern. The physician scores this resistance according to the UPDRS (Unified Parkinson’s Disease Rating Scale) between 0 and 4. (0 = absent, 1 = slight or detectable only when activated by mirror or other movements, rigidity only detected with the activation maneuver , 2 = mild to moderate, rigidity detected without the activation maneuver, but the full range of motion is easily achieved, 3 = marked, but full range of motion easily achieved, rigidity detected without the activation maneuver, the full range of motion is achieved with effort, 4 = severe, range of motion achieved with difficulty, rigidity detected without the activation maneuver and full range of motion not achieved.). This basic examination is based on the physician’s judgment. For this reason, there are studies in the state of the art for evaluating rigidity quantitatively and independent of the physician’s judgment. In the early studies, wrist resistance was tested quantitatively by processing electromyography (EMG) signals collected from patients. In subsequent studies, the wrist rigidity was calculated as a numerical value by modeling the wrist as a mechanical system and after this modeling, with the help of the devices in which the model parameters have been developed.
There are some methods and solutions for evaluating the wrist rigidity in the state of the art. In patent application KR20160146009, a system for performing passive joint movement of patients with Parkinson’s disease and for storing data is disclosed. Said application relates to a device that applies a constant velocity movement to a patient’s joints for evaluating stiffness which is a clinical characteristics of patients with Parkinson’s disease. Although said device offers a solution that allows the rigidity to be evaluated quantitatively, it does not have a wide usage, as it is not an easily portable system.
In a study titled “A palm-worn device to quantify rigidity in Parkinson’s disease” by Thushara Perera, Wee-Lih Lee, Mary Jones, Joy L. Tan, Elizabeth L. Proud, Angus Begg, Nicholas C. Sinclair, Richard Peppard, Hugh J. Me Dermott, a system that evaluates the rigidity of an individual with Parkinson’s disease with a palm-worn device is disclosed. UPDRS is used for rating Parkinson’s disease. The results obtained with said method show moderate correlation with UPDRS. The results obtained must be compatible with UPDRS in order for the disease to be treated correctly. Moreover, the method does not offer a practical use as it contains additional equipment.
Although successful results were obtained in the evaluation of wrist rigidity with previous studies, their clinical use has not been widespread. One of the main reasons for this is that the developed devices and methods are not mobile (portable), and easy and quick to apply. Although said methods or devices have found a use in some hospitals and clinics, their use has been quite limited. In addition, not all studies have yielded equally successful results. Some applications operate at confidence intervals that cannot be used scientifically and statistically in the healthcare field.
Furthermore, another importance of rigidity examination is that it is the clinical characteristic that gives the fastest response to surgery in patients who underwent subthalamic nucleus deep brain stimulation (STN-DBS), which is an effective and safe treatment in the motor complication phase. Therefore, the rigidity response is typically used since it does not fluctuate, responds to stimulation adjustments within seconds, and does not depend on patient fatigue or cooperation, when testing whether the electrodes are placed properly or not during the STN-DBS surgery, and during programming the stimulator following the surgery to evaluate the effect of stimulation (ref 1 ). While stiffness disappears within 20 seconds when active stimulation is turned on, the rigidity returns within one minute after stopping the stimulation (ref 2). ref 1 : Temperli P, Ghika J, Villemure J-G, Burkhard PR, Bogousslavsky J, Vingerhoets FJG. How do parkinsonian signs return after discontinuation of subthalamic DBS? Neurology. (2003) 60:78-81. ref 2: Koeglsperger T, Palleis C, Hell F, Mehrkens JH, Botzel K. Deep Brain Stimulation Programming for Movement Disorders: Current Concepts and Evidence-Based Strategies. Front Neurol. 2019 May 21 ;10:410. doi: 10.3389/fneur.2019.00410. PMID: 31231293; PMCID: PMC6558426.
As a result, all of the above-mentioned problems have made it necessary to make an innovation in the related technical field.
BRIEF DESCRIPTION OF THE INVENTION
The present invention relates to a mobile measurement system for use in evaluating rigidity in order to eliminate the above-mentioned disadvantages and bring new advantages to the related technical field.
An object of the invention is to provide a mobile measurement system for measuring quantitatively the wrist rigidity which is one of the cardinal symptoms of Parkinson’s disease.
In order to achieve all objects mentioned above and which will be understood from the following detailed description, the present invention relates to a mobile measurement system for measuring the wrist rigidity quantitatively of a patient with Parkinson’s disease by means of a force applied to a mobile device screen. Accordingly, its novelty is that; it comprises a force determination unit for determining the force value applied by the user to a reference point provided on the mobile screen placed in the patient’s hand whose rigidity is to be measured, an angular measurement unit for measuring angular displacement value of the wrist of the patient’s hand due to the user moving the mobile device; a processor unit for receiving data from the force determination unit and the angular measurement unit; that said processor unit is configured to; allow the force value determined by the force determination unit to be obtained; to allow a torque value to be calculated from the relationship between the force value using a distance information expressing the distance between said reference point and the wrist of the patient’s hand; to allow the rigidity value to be determined by calculating the ratio of the calculated torque value to the angular displacement. Thus, the wrist rigidity value of a patient with Parkinson’s disease can be easily measured by means of a portable mobile measurement system.
A possible embodiment of the invention is characterized in that; it comprises a mobile force apparatus to be placed between the patient’s hand and the reference point. Thus, the rigidity value can be measured by means of a mobile force apparatus without using directly the user’s hand.
Another possible embodiment of the invention is characterized in that said mobile force apparatus has a tip made of a flexible conductive and/or semi-conductive material. Thus, the tip is allowed to be spread on the screen in proportion to the applied force.
Another possible embodiment of the invention is characterized in that the force determination unit is configured to allow determination of the force value that corresponds to the area covered on the screen depending on the force applied by the user on the screen.
Yet another possible embodiment of the invention is characterized in that the force determination unit is a force sensor so that the force applied by the user on the screen is measured.
Yet another possible embodiment of the invention is characterized in that the processor unit is configured in such a way that the force information corresponding to the area covered on the screen as a result of the force applied by the user to the reference point, is predetermined by the calibration process.
Yet another possible embodiment of the invention is characterized in that it comprises a memory unit provided to contain the force values determined as a result of the calibration process.
Still another possible embodiment of the invention is characterized in that it comprises a distance measurement unit for measuring the distance between the reference point and the wrist of the patient’s hand. BRIEF DESCRIPTION OF THE FIGURES
In Figure 1 , a representative view of a mobile measurement system that calculates the wrist rigidity value of a patient with Parkinson’s disease as a result of applying a force to a mobile device screen with a user’s hand, is given.
In Figure 2, a representative view of a mobile measurement system that calculates the wrist rigidity value of a patient with Parkinson’s disease as a result of applying a force to a mobile device screen with a mobile force apparatus of a user, is given.
In Figure 3, a representative view showing the components of the mobile force apparatus is given.
In Figure 4, a representative view of the operating scenario of the mobile measurement system is given.
DETAILED DESCRIPTION OF THE INVENTION
In this detailed description, subject matter of the invention is only explained by way of examples for understanding the subject matter better that will not have any limiting effect.
The invention relates to a mobile measurement system (10) designed with an innovative architecture for measuring quantitatively the wrist rigidity (30) which is one of the cardinal symptoms of Parkinson’s disease.
With reference to Figures 1 , 2 and 4; said mobile measurement system (10) comprises a mobile device (11 ). Said mobile device (11 ) comprises a touch screen (12) provided. There is a reference point (121 ) provided for applying force on the mobile device (11). The mobile measurement system (10) measures quantitatively the wrist rigidity (30) of the patient by means of a force applied by a user to said reference point (121). In a possible embodiment of the invention, the user can be the person performing the measurement; in other words, a physician, an engineer, the patient themselves, etc. The mobile measurement system (10) comprises a force determination unit (16) to allow the force value applied by the user to the reference point (121) to be determined. There is an angular measurement unit (17) for measuring the angular displacement value of the mobile device (11) with respect to the wrist of the patient’s hand (15) due to the user moving the mobile device (11 ). In a possible embodiment of the invention, as said angular measurement unit (17); a position sensor can be used for measuring the amount of displacement provided to the mobile device (11). In an alternative embodiment of the invention, as the angular measurement unit (17); an optical sensor can be used for measuring the amount of displacement provided to the mobile device (11 ). There is a processor unit (18) configured to receive data from the angular measurement unit (17) and the force determination unit (16). Said processor unit (18) allows to obtain the force value determined by the force determination unit (16). The processor unit (18) allows to calculate a torque value from the relationship between the force value and the distance information expressing the distance between reference point (121 ) and the wrist of the patient’s hand (15). The processor unit (18) also allows to calculate the wrist rigidity of the patient’s hand (15) by calculating the ratio of the calculated torque value to the angular displacement obtained from the angular measurement unit (17).
According to an embodiment of the invention, there is a mobile force apparatus (13) provided between the user’s hand (14) and the reference point (121). Said mobile force apparatus (13) has a tip (131) made of a flexible conductive and/or semi-conductive material. Said tip (131) is placed on a main body (132). In a possible embodiment of the invention, the tip (131 ) is formed by curing the mixture poured into a mold placed on said main body (132) and then separating the mold from the main body (132). In a preferred embodiment of the invention, said mixture contains mold silicone in an amount of 75% and copper powder in an amount 25%. The shape of the tip (131) may vary according to the shape of the mold placed on the main body (132). In a possible embodiment of the invention, the tip (131 ) is formed by means of a spherical mold. In another preferred embodiment of the invention, the tip (131) is formed by means of a cylindrical mold. There is a cover (133) joined in a way that it can be attached and detached on the surface of the main body (132) in which the tip (131) is not provided. As shown in Figure 3; the mobile force apparatus (13) comprises three main components, that is, at least one tip (131), a main body (132) and at least one cover (133). In an alternative embodiment of the invention; the mold silicone is cured by pouring the mold silicone into cylindrical molds around the tip (131) on the main body (132), thereby auxiliary components having insulating properties are formed. In a possible embodiment of the invention, the auxiliary components comprise at least three insulating parts around the tip (131 ). The mobile force apparatus (13) may be provided in different designs as long as it functions in the same way. Mobile force apparatus (13) for example; is provided to be used in situations where the accuracy of the measurement data measured as a result of the application of force by a user having sweaty hands on the screen (12) of the mobile device (11 ) is not certain. The force determination unit allows to determine the force value applied by the user to the reference point (121) with said mobile force apparatus (13). The force determination unit (16) allows to determine the area occupied by the tip (131) of the mobile force apparatus (13) on the screen (12) in response to the force applied by the user. The processor unit (18) allows to determine the force value corresponding to the determined area. The magnitude of the force applied on the screen (12) increases in direct proportion to the area occupied by the tip (131 ) on the screen (12). The obtained force value is determined by a predetermined calibration process for each area occupied by the tip (131) on the screen (12). With the calibration process, depending on the force applied before on the screen (12) of the mobile device (11) the area information measured on the screen (12) is determined. The force values corresponding to each determined area information are stored in a memory unit (19). There is a distance measurement unit (20) to measure the distance of the reference point (121 ) to the wrist of the patient’s hand (15). In a possible embodiment of the invention at least one distance sensor is used as said distance measurement unit (20). In an alternative embodiment of the invention, the distance of the wrist of the patient’s hand (15) to the reference point (121 ) is pre-measured by means of an an auxiliary component, etc., thereby the distance measurement unit (20) can be entered via a user interface that allows to enter a user input. The processor unit (18) allows to calculate a torque value from the relationship between the force value obtained from the force determination unit (16) and the distance information obtained from the distance measurement unit (20). The angular displacement that occurs when the user moves the mobile measurement system (10) is measured by the angular measurement unit (17). The processor unit (18) allows to calculate the wrist rigidity (30) by calculating the ratio of the calculated torque value to the angular measurement value.
According to another embodiment of the invention, force is applied to the reference point (121 ) by the user’s hand (14). The force determination unit (16) allows to determine the force value applied by the user to the reference point (121). The force determination unit (16) allows to determine the area occupied by the user’s hand (14) on the screen (12) in response to the force applied by the user. The magnitude of the force applied on the screen (12) increases in direct proportion to the area occupied by the user’s hand (14) on the screen (12). With the calibration process, depending on the force applied before on the screen (12) of the mobile device (11 ) the force value information corresponding to the area value created on the screen (12) is determined. The force values corresponding to each determined area information are stored in a memory unit (19). The processor unit (18) determines the force value applied from the memory unit (19). The value of the angular displacement occurred due to the movement of the mobile device (11) as a result of the movement of the wrist of the patient’s hand (15) is measured by the angular measurement unit (17). There is a distance measurement unit (20) to measure the distance of the reference point (121 ) to the wrist of the patient’s hand (15). In a possible embodiment of the invention at least one distance sensor is used as said distance measurement unit (20). In an alternative embodiment of the invention, the distance of the wrist of the patient’s hand (15) to the reference point (121 ) is pre-measured by means of an an auxiliary component, etc., thereby the distance measurement unit (20) can be entered via a user interface that allows to enter a user input. The processor unit (18) allows to calculate a torque value from the relationship between the force value obtained from the force determination unit (16) and the distance information obtained from the distance measurement unit (20). The angular displacement that occurs when the user moves the mobile measurement system (10) is measured by the angular measurement unit (17). The processor unit (18) allows to calculate the wrist rigidity (30) by calculating the ratio of the calculated torque value to the angular measurement value.
According to another embodiment of the invention, force is applied to the reference point (121 ) by the user’s hand (14). The force determination unit (16) allows to measure the force value applied by the user to the reference point (121 ). An electronic device such as a force sensor etc. which is provided in the mobile device (11) is used as the force determination unit (16). There is a distance measurement unit (20) to measure the distance of the reference point (121 ) to the wrist of the patient’s hand (15). In a possible embodiment of the invention at least one distance sensor is used as said distance measurement unit (20). In an alternative embodiment of the invention, the distance of the wrist of the patient’s hand (15) to the reference point (121 ) is pre-measured by means of an an auxiliary component, etc., thereby the distance measurement unit (20) can be entered via a user interface that allows to enter a user input. The processor unit (18) allows to calculate a torque value from the relationship between the force value obtained from the force determination unit (16) and the distance information obtained from the distance measurement unit (20). The angular displacement that occurs when the user moves the mobile measurement system (10) is measured by the angular measurement unit (17). The processor unit (18) allows to calculate the wrist rigidity (30) by calculating the ratio of the calculated torque value to the angular measurement value.
An exemplary operating scenario of the invention is explained below;
The mobile measurement system (10) should be held by the patient’s hand (15) with Parkinson’s disease to measure the rigidity of the patient. A user applies a force to the reference point (121) on the screen (12) of the mobile device (11 ). The user (physician or person qualified to use the device) gently grasps the patient’s hand (15) and applies a force slight enough to create a passive joint movement starting from the neutral position first, and moves the patient’s hand (15) such that it extends and flexes (up and down movement of the wrist without changing the initial position). During the extension and flexion movement of the patient’s hand (15), a reaction force is applied by the patient’s hand (15) to the mobile device
(11 ) depending on the rigidity on the wrist of the patient’s hand (15). The user’s hand (14), who extends and flexes the patient’s hand (15) by applying a force, spreads on the screen
(12) depending on this reaction force. If the mobile device (11 ) has a force measurement system, the applied force can be directly determined via the force determination unit (16). If the mobile device (11 ) does not have a force measurement system, the area occupied on the screen (12) of the mobile device (11 ) that depends on the applied force is measured via the force determination unit (16). The force determination unit (16) allows to determine the force value stored in the memory unit (19) that corresponds to the measured area. The force value determined by the force determination unit (16) is transmitted to the processor unit (18). The distance of the patient’s hand (15) from the reference point (121) to the wrist is measured by a distance measurement unit (20). The distance measurement (20) information is transmitted to the processor unit (18). The processor unit (18) allows to calculate a torque value according to the force information and the distance measurement information. The value of the angular displacement occurred due to the user moving the mobile measurement system (10) is measured by the angular measurement unit (17). The measured angular measurement value is transmitted to the processor unit (18). The processor unit (18) allows to calculate the wrist rigidity value of the patient’s hand (15) by calculating the ratio of the calculated torque value to the angular measurement value. The processor unit (18) allows to save the calculated rigidity values to the memory unit (19) for later use.
In an exemplary embodiment of the invention, the smartphone together with the mobile force apparatus (13) placed on the smartphone should be held by the patient to measure the wrist rigidity (30) of the patient with Parkinson’s disease. First, the mobile force apparatus (13) placed on the smartphone, together with the patient’s hand (15) and the mobile measurement system (10), should be held by the user such that the patient’s hand (15) is not bent, which is called the neutral position. Then, the patient’s hand (15) is made to extend and flex respectively, with the smartphone and mobile force apparatus (13) they hold. Depending on said movement, a force is transferred from the user’s hand (14) to the mobile force apparatus (13). During the extension and flexion movement of the patient’s hand (15), a reaction force is applied by the patient’s hand (15) to the mobile device (11) depending on the wrist rigidity (30) of the patient with Parkinson’s disease. The conductive flexible tip of the mobile force apparatus (13) is allowed to be spread on the screen (12) of the smartphone, depending on the magnitudes of the force transferred from the user’s hand (14) to the mobile force apparatus (13) and the reaction force applied from the patient’s hand (15) to the mobile device (11 ). The force value corresponding to the contact area due to said spreading is predetermined and saved to the memory of the smartphone. The processor of the smartphone allows to determine the force value corresponding to the contact area from the memory of the phone. The processor of the phone also allows to obtain the distance value between the wrist of the patient’s hand (15) and the screen (12) of the mobile device (11) from a distance sensor provided to the phone. The processor allows to determine a torque value by calculating the ratio of the force value to the distance value. The processor of the phone also allows to obtain the amount of angular displacement occurred due to the user moving the phone from a position sensor provided to the phone. The processor of the phone allows to calculate the wrist rigidity value of the patient’s hand (15) by proportioning the calculated torque value to the angular measurement value. The processor unit (18) allows to instantaneously save the calculated wrist rigidity (30) value to the memory unit (19). Depending on the user’s request, the calculated wrist rigidity (30) values can be transmitted to a remote server so that they can be checked by other qualified persons, physicians, etc. A user connecting to said server to can access the patient’s rigidity values, including date and time data. Thus, the user can easily and quickly measure the wrist rigidity (30) value and even optionally transmit the measured data to the respective users.
In another exemplary embodiment of the invention, the mobile measurement system (10) should be held by the patient to measure the wrist rigidity (30) of the patient with Parkinson’s disease. The smartphone and the patient’s hand (15) should be held by the user in the neutral position. Then, the patient’s hand (15) is made to extend and flex respectively, with the mobile device (11). Depending on said movement, a force is transferred from the user’s hand (14) to the contact point on the screen (12). The mobile device (11) comprises a force sensor. During the extension and flexion movement of the patient’s hand (15), a reaction force is applied by the patient’s hand (15) to the mobile device (11) depending on the wrist rigidity (30) of the patient. The force transferred from the user’s hand (14) to the screen (12) and the reaction force applied from the patient’s hand (15) to the mobile device (11) are measured by the force sensor. The distance value between the wrist of the patient’s hand (15) and the screen (12) is measured by a distance sensor provided to the phone.
The processor unit (18) allows to determine a torque value by proportioning the force value obtained from the force sensor and the distance information obtained from the distance sensor. The processor unit (18) also allows to obtain the amount of angular displacement occurred due to the user moving the phone from a position sensor (11 ) the phone. The processor unit (18) allows to calculate the wrist rigidity value of the patient’s hand (15) by proportioning the calculated torque value to the angular measurement value. The processor unit (18) allows to instantaneously save the calculated wrist rigidity (30) value to the memory. The processor unit (18) allows to instantaneously save the calculated wrist rigidity (30) value to the memory. Depending on the user’s request, the calculated wrist rigidity (30) values can be transmitted to a remote server so that they can be checked by other qualified persons, physicians, etc. A user connecting to said server to can access the wrist rigidity values of the patient’s hand (15), including date and time data. Thus, the user can easily and quickly measure the wrist rigidity (30) value and even optionally transmit the measured data to the respective users.
The scope of protection of the invention is defined in the attached claims and cannot be limited in any way to what is described in this detailed description for exemplary purposes. It is obvious that a person skilled in the art can provide similar embodiments in the light of what has been described above without departing from the main theme of the invention.
REFERENCE NUMBERS GIVEN IN THE FIGURES
10 Mobile measurement system
11 Mobile device 12 Screen
121 Reference point
13 Mobile force apparatus
131 Tip
132 Main body 133 Cover
14 User’s hand
15 Patient’s hand
16 Force determination unit
17 Angular measurement unit 18 Processor unit
19 Memory unit
20 Distance measurement unit
30 Wrist rigidity

Claims

CLAIMS A mobile measurement system (10) for measuring the wrist rigidity (30) quantitatively of a patient with Parkinson’s disease by a force applied on the screen (12) of a mobile device (11), characterized in that; it comprises a force determination unit (16) for determining the force value applied by the user to a reference point (121 ) provided on the screen (12) of the mobile device (11) placed in the patient’s hand (15) whose wrist rigidity (30) is to be measured, an angular measurement unit (17) for measuring angular displacement value of the wrist of the patient’s hand (15) due to the user moving the mobile device (11 ); a processor unit (18) for receiving data from the force determination unit (16) and the angular measurement unit (17); in that said processor unit (18) is configured to; allow the force value determined by the force determination unit (16) to be obtained; to allow a torque value to be calculated from the relationship between the force value using a distance information expressing the distance between said reference point (121) and the wrist of the patient’s hand (15); to allow the rigidity value to be determined by calculating the ratio of the calculated torque value to the angular displacement. A mobile measurement system (10) according to Claim 1 , characterized in that; it comprises a mobile force apparatus (13) to be placed between the patient’s hand (15) and the reference point (121 ). A mobile measurement system (10) according to Claim 1 , characterized in that; said mobile force apparatus (13) has a tip (131 ) made of a flexible conductive and/or semi- conductive material. A mobile measurement system (10) according to Claim 1 , characterized in that; the force determination unit (16) is configured to allow determination of the force value that corresponds to the area covered on the screen (12) depending on the force applied by the user on the screen (12). A mobile measurement system (10) according to Claim 1 , characterized in that; the force determination unit (16) is a force sensor so that the force applied by the user (16) on the screen (12) is measured. A mobile measurement system (10) according to Claim 1 , characterized in that; the processor unit (18) is configured in such a way that the force information corresponding to the area covered on the screen (12) as a result of the force applied by the user to the reference point (121 ), is predetermined by the calibration process. A mobile measurement system (10) according to Claim 1 , characterized in that; it comprises a memory unit (19) provided to contain the force values determined as a result of the calibration process. A mobile measurement system (10) according to Claim 1 , characterized in that; it comprises a distance measurement unit (20) for measuring the distance between the reference point (121 ) and the wrist of the patient’s hand.
PCT/TR2021/051655 2020-12-31 2021-12-31 A mobile measurement system for evaluating rigidity WO2022146402A1 (en)

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TR2020/22818A TR202022818A1 (en) 2020-12-31 2020-12-31 A MOBILE APPARATUS SYSTEM FOR THE ASSESSMENT OF RIGIDITY
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2305118A1 (en) * 2008-06-20 2011-04-06 Osaka University Muscle tone measuring apparatus

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2305118A1 (en) * 2008-06-20 2011-04-06 Osaka University Muscle tone measuring apparatus

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ENDO TAKUYUKI, YOSHIKAWA NAOYA, FUJIMURA HARUTOSHI, SAKODA SABURO: "Parkinsonian Rigidity Depends on the Velocity of Passive Joint Movement", PARKINSON'S DISEASE, vol. 2015, 1 January 2015 (2015-01-01), pages 1 - 4, XP055955279, ISSN: 2090-8083, DOI: 10.1155/2015/961790 *
FERREIRA-SÁNCHEZ MARÍA DEL ROSARIO, MORENO-VERDÚ MARCOS, CANO-DE-LA-CUERDA ROBERTO: "Quantitative Measurement of Rigidity in Parkinson’s Disease: A Systematic Review", SENSORS, vol. 20, no. 3, 6 February 2020 (2020-02-06), pages 880, XP055955281, DOI: 10.3390/s20030880 *
JOSIEN C. VAN DEN NOORT ET AL.: "et al., ''Quantification of Hand Motor Symptoms in Parkinson's Disease:A Proof-of-Principle Study Using Inertial and Force Sensors", ANNALS OF BIOMEDICAL ENGINEERING, vol. 45, no. 10, October 2017 (2017-10-01), pages 2423 - 2436, XP036328946, DOI: 10.1007/ sl0439-017-1881-x *

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