WO2015161763A1 - 脑功能障碍评价装置 - Google Patents

脑功能障碍评价装置 Download PDF

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WO2015161763A1
WO2015161763A1 PCT/CN2015/076965 CN2015076965W WO2015161763A1 WO 2015161763 A1 WO2015161763 A1 WO 2015161763A1 CN 2015076965 W CN2015076965 W CN 2015076965W WO 2015161763 A1 WO2015161763 A1 WO 2015161763A1
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Prior art keywords
unit
body motion
period
accuracy
adjustment
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English (en)
French (fr)
Inventor
殷颖
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Maxell Ltd
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Hitachi Maxell Ltd
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Priority to JP2016563782A priority Critical patent/JP6291083B2/ja
Priority to US15/305,509 priority patent/US10736556B2/en
Publication of WO2015161763A1 publication Critical patent/WO2015161763A1/zh
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4058—Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
    • A61B5/4064—Evaluating the brain
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1124—Determining motor skills
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb

Definitions

  • the present invention relates to a brain dysfunction evaluation device, and more particularly to a brain dysfunction evaluation device capable of adjusting a presentation period.
  • Brain dysfunction such as dementia symptoms
  • Alzheimer's disease is the most common cause of dementia and is likely to cause up to 70% of cases of dementia.
  • the World Health Organization released in 2012 that there are nearly 35.6 million people with dementia worldwide.
  • the number of people with dementia is expected to double by 2030 (65.7 million) and will triple by 2050.
  • Dementia patients are present in all countries, but more than half (58%) live in low- and middle-income countries. By 2050, the ratio will rise to over 70%.
  • the annual cost of treating and caring for people with dementia is more than $604 billion worldwide, including the cost of providing health and social care and the loss of income for people with dementia and their caregivers.
  • the international application (application number: PCT/JP2013/074582; invention name: brain dysfunction evaluation method, brain dysfunction evaluation device and its code) disclosed in the brain dysfunction evaluation device is aimed at this problem, allowing the subject to follow the system
  • the indicated series of body movement tasks perform body movement, and the body movement detecting element detects the reaction speed of the subject and the accuracy of the reaction position, and compares with the accuracy of the prepared health person in advance, and evaluates the subject's accuracy.
  • Physical exercise capacity application number: PCT/JP2013/074582; invention name: brain dysfunction evaluation method, brain dysfunction evaluation device and its code
  • the interval of the body movement task indication issued by the brain dysfunction evaluation device is The display period is set in advance.
  • the interval between the body movement task indications may be too short, such that Some elderly people with simple exercise retardation may be misjudged as dementia; or the interval is too long, causing the subject to feel bored during the test and unable to measure continuously.
  • a brain dysfunction evaluation device capable of adjusting a reminder cycle of a body exercise task according to individual differences.
  • a brain dysfunction evaluation apparatus includes: a body motion presentation unit that presents a body motion task to a subject; and a body motion detecting unit that detects a body motion of the subject according to the presented body motion task Related body motion data; an operation input unit that receives input information, an output unit that outputs information to the outside, a storage unit that is capable of storing various data from other units, and a data processing unit, the data processing unit a body motion task selection unit that selects a body motion task input through the operation input unit or a body motion task that is set in advance; a data acquisition unit that acquires information input through the operation input unit, Body motion data of the body motion detected by the body motion detecting unit and body motion accuracy from the body motion accuracy calculating unit; and an instruction data generating unit that performs the operation based on the data acquisition unit
  • the information input by the input unit and the body movement are positive
  • the body motion correctness calculated by the degree calculation unit generates an instruction period, and generates instruction data according to the body cycle task selected by the body motion task selection
  • the generation of the indication period is obtained according to the body motion accuracy obtained by the body motion accuracy calculation unit, the size of the body movement can be adjusted according to the body movement level of the different groups of people, thereby obtaining the compliance detection.
  • the appropriate indication period for the crowd is obtained according to the body motion accuracy obtained by the body motion accuracy calculation unit.
  • Fig. 1 is a functional block diagram showing an overall configuration of a brain dysfunction evaluation device according to an embodiment of the present invention.
  • Fig. 2 is a functional block diagram of an instruction data generating unit in the brain dysfunction evaluation device according to the embodiment of the present invention.
  • Fig. 3 is a flow chart showing the operation of the presentation cycle generation unit according to the embodiment of the present invention.
  • FIG. 4 is a body movement issued by a body motion prompting unit of a brain dysfunction evaluation device according to an embodiment of the present invention; Schematic diagram of the task.
  • the brain dysfunction evaluation apparatus 100 includes a data processing unit 1, a body motion presentation unit 2, a body motion detection unit 3, an operation input unit 4, an output unit 5, and a storage unit 6.
  • the data processing unit 1 usually contains a CPU and a memory.
  • the body motion prompting unit 2 can be constituted by a display, a sounder or the like.
  • the body motion detecting unit 3 is configured to detect a motion of the subject, and can be realized by a touch panel, an acceleration sensor, a magnetic sensor, a gyro device, a motion capture device, a video capture device, and the like.
  • the operation input unit 4 may be constituted by a keyboard or a mouse, or may be the same unit as the body motion detecting unit 3.
  • the output unit 5 may be constituted by a display, a printer or the like, or may be realized by the same device as the body motion presentation unit 2.
  • the storage unit 6 is composed of a hard disk, an SSD (Solid State Disk), or the like for storing data and programs.
  • the data processing unit 1 may be integrally formed with the body motion presentation unit 2, the body motion detecting unit 3, the operation input unit 4, the output unit 5, and the storage unit 6.
  • the data processing unit 1 includes a body motion task selection unit 10, a data acquisition unit 20, an instruction data generation unit 30, a body motion accuracy calculation unit 40, and a cognitive impairment evaluation unit 50.
  • the body motion task selection unit 10 may select a test item implementation sequence stored in advance by the storage unit 6, or may display a body motion task list in the output unit 5 or the body motion presentation unit 2, and the subject or the caregiver passes the operation input unit 4 Select the tests you need to perform.
  • the data acquisition unit 20 acquires the information input by the operation input unit 4, the body motion data of the subject's body motion detected by the body motion detecting unit 3, and the body motion calculated by the body motion accuracy calculation unit 40. Correctness.
  • the instruction data generating unit 30 generates body motion instruction data for presenting the subject, and the body motion presenting unit 2 presents the subject with the instruction data generated by the instruction data generating unit 30 of the data processing unit 1.
  • the indication data may be an image prompt, a text prompt, a light prompt, or an audible prompt on the LCD screen.
  • a prompt on the LCD screen can prompt a specific image at a specific location, or it can prompt a random image at a random location.
  • the body cueing unit 2 can be constituted by a display unit, a sound output unit, and the like.
  • the body motion accuracy calculation unit 40 calculates the body motion accuracy based on the body motion data and the body motion presentation data.
  • the prior application PCT/JP2013/074582
  • a weighting operation on the positional correctness ie, the degree of coincidence of the motion position
  • the timing accuracy ie, the speed of the reaction time
  • the cognitive impairment degree evaluation unit 50 evaluates the cognitive impairment degree based on the body motion accuracy calculated by the body motion accuracy calculation unit 40.
  • the instruction data generated by the instruction data generation unit is generated in a predetermined instruction cycle.
  • the indication interval of the body movement task cannot be adjusted for each case in which each subject is different. If the interval is too short, the simple exercise retardation of the elderly may be misjudged as dementia; or the interval is too long, causing the subject to feel bored during the test and unable to continuously measure.
  • the instruction data generating unit 30 in the present embodiment can generate the instruction period based on the information input by the operation input unit 4 and the body motion accuracy calculated by the body motion accuracy calculating unit 40, which is acquired by the data acquiring unit 20.
  • the body motion task selected by the body motion task selecting section 10 generates the instruction data in the above-described instruction period.
  • the subject information input through the operation input unit 4 may include data of the age, sex, health status, and the like of the subject.
  • the instruction period can be adjusted by evaluating the subject's body motion accuracy calculated by the subject information and the body motion accuracy calculating unit 40.
  • the indication period may be decreased; if the subject's body movement accuracy is lower than the average level of the subject's age group, The indication period is increased.
  • the indication period may be decreased by a prescribed value; when the subject's body movement accuracy is continuous If the predetermined number of times or more (for example, five or more times) is lower than the predetermined body motion accuracy, the instruction period may be increased by a prescribed value.
  • the present invention also gives the following specific embodiments, which will be described in detail below with reference to FIGS. 2 and 3.
  • Fig. 2 is a block diagram showing a specific function of the instruction data generating unit 30 according to an embodiment of the present invention.
  • the examples are for illustrative purposes only and are not intended to limit the scope of the invention.
  • the instruction data generating unit 30 includes an initial setting unit 31, a body motion accuracy comparing unit 32, and an adjusting unit 33.
  • the initial setting unit 31 mainly presets the following data: initial presentation period T 0 , maximum presentation period Tmax, minimum presentation period Tmin, adjustment degree t, and reference motion accuracy. M 0 .
  • the initial presentation period T 0 is obtained by comprehensively estimating personal information such as the name, sex, and age of the subject input by the subject or the caregiver through the operation input unit 4.
  • the following method can be exemplified as a method of setting the initial presentation period T 0 .
  • the subjects in different age groups are selected in the healthy population in advance to perform the same test, and the average period T AV of the healthy population around 20 years old is used as the reference reminder period.
  • the relationship coefficient K of the subject's age Y and the cueing period is set, and the magnitude of the relationship coefficient can be estimated by the relationship between the actual test age and the exercise ability. Then, the initial setting unit 122 calculates the initial prompt period as follows:
  • the maximum cueing period Tmax can be set by the designer based on the experimental data, for example, can be set to a citation cycle that is suitable for those who have a brain dysfunction.
  • the minimum prompt period Tmin can be set, for example, to be the same as T AV , or can be set to a reminder period applicable to other people with good exercise ability.
  • the adjustment degree t refers to the amplitude of the adjustment period each time.
  • the smaller the adjustment t value the higher the accuracy of each adjustment, but it may result in more adjustments required to achieve the desired cue cycle.
  • the larger the value of t the lower the accuracy of each adjustment, but the fewer the number of adjustments. Specifically, it can be set according to actual needs.
  • the baseline motion accuracy M 0 can be set as an average of the normal population test results obtained after a large number of experiments, and an appropriate value can be set for the elderly population.
  • the body motion accuracy comparison unit 32 compares the body accuracy calculated by the body motion accuracy calculation unit 40 with the reference motion accuracy M 0 .
  • the presentation period is subtracted and adjusted.
  • the prompt period is the value after the adjustment degree t is added, and the value after the adjustment degree t is greater than or equal to the minimum prompt period Tmax, so that the prompt The period is Tmax.
  • the instruction data generating unit 30 generates the instruction data based on the body motion task selected by the body motion task selecting unit 10 in the instruction cycle obtained by the above adjustment.
  • each piece of data is acquired, and this step can be implemented in the data acquisition unit 20 in the data processing unit 1 of the brain dysfunction evaluation device 100.
  • Each piece of data includes, for example, personal information (age, gender, health condition, etc.) of the subject input by the subject or the caregiver through the operation input unit 4.
  • the initial setting unit 31 of the instruction data generating unit 30 performs the following presets: initial presentation period T 0 , maximum presentation period Tmax, minimum presentation period Tmin, adjustment degree t, and reference motion accuracy M. 0 .
  • the specific setting is as described above.
  • step S13 the instruction data generating unit 30 generates the instruction data.
  • the generated instruction data is displayed on the body motion presentation unit 2, and the subject completes the exercise task based on the instruction data. If the indication data is generated for the first time, it is generated with the initial prompt period T 0 .
  • the body motion detecting unit 3 acquires motion data of the subject.
  • the body motion accuracy calculation unit 40 of the data processing unit 1 calculates the motion accuracy of the subject based on the motion data acquired by the body motion detecting unit 3.
  • step S16 the body motion accuracy comparison unit 32 in the instruction data generating unit 30 compares the motion accuracy of the subject calculated in step 15 with the reference motion accuracy M 0 set in step A12, It is judged whether or not the body motion accuracy obtained by the body motion detecting unit 3 is greater than or equal to the reference motion accuracy.
  • the judgment result is YES, it indicates that the test result of the subject is good, and it can be considered that the prompt period (if the first adjustment is the initial prompt period T 0 ) is adjusted to the decreasing trend.
  • the process proceeds to step S17.
  • the prompt period minus whether the adjustment value t is less than or equal to Tmin.
  • step S17 If the result of the determination in step S17 is YES, that is, the value after the presentation period minus the adjustment degree t is less than or equal to Tmin, the process proceeds to step S19 so that the presentation period is Tmin. If the result of the determination in step S17 is NO, the process proceeds to step S20 so that the presentation period is the value after the adjustment degree t is subtracted.
  • step 16 If the result of the determination in step 16 is no, the description indicates that the test result (correctness) of the subject is less than the reference value. In this case, it may be considered to increase the prompt period (if the first adjustment is the initial prompt period T 0 )
  • the trend adjustment proceeds to step S18, and it is judged whether or not the value after the adjustment value t is added to the presentation period is greater than or equal to Tmax. If the result of the determination in step S18 is YES, that is, the value after the presentation period plus the adjustment degree t is greater than or equal to Tmax, the process proceeds to step S21 so that the presentation period is Tmax. If the result of the determination in step S18 is NO, the process proceeds to step S22 so that the presentation period is the value after the adjustment degree t is added.
  • steps S19, S20, S21, and S22 are followed by the process of step S13, that is, in step S13, the instruction data generating unit 30 generates the presentation data based on the adjusted presentation cycle.
  • the difference from the above embodiment is that the instruction data generating unit 30 can also Further, the adjustment count counting unit 34 (not shown) is provided, and the adjustment count unit 34 sets the number of adjustments N of the presentation period in advance, and when the adjustment unit 32 adjusts the number of presentation periods to the adjustment number N, the adjustment of the presentation period is stopped. .
  • the number of times of adjustment of the presentation period by the presentation data generating unit 30 can be controlled, thereby reducing the data processing load of the device, that is, after the adjustment period of the presentation period is N times becomes a relatively appropriate value, the prompt period is always used to prompt .
  • the number of adjustments N can be modified if the user (the subject or the caregiver) considers it necessary.
  • the number of adjustments N of the adjustment unit 32 may be reset, so that the adjustment of the new round of the cueing cycle can be performed again.
  • the difference from the above embodiment is that, in the embodiment, when the value after the prompt period minus the adjustment degree t is smaller than the minimum presentation period Tmin, the prompt period is equal to Tmin; or when the prompt period plus the adjustment value t is greater than or equal to the minimum prompt period Tmax, so that the prompt period is equal to Tmax, and in the variation 2, the adjustment degree t can also be adjusted to increase the prompt period After the adjustment t is reduced, it still falls within the range of Tmin to Tmax.
  • the prompt period is decreased after the adjustment degree t
  • Tmin the minimum prompt period
  • the prompt period is the value after the adjustment degree t is added, and the value after the adjustment degree t is added is greater than or equal to the minimum value.
  • the preset amplitude of the adjustment itself may be preset according to requirements. For example, if fine adjustment is needed, it may be set to 25% or less, or may be set to 50%, etc., and there is no specific limitation, and may be The designer considers or needs to be set by the user.
  • FIG. 4 is a schematic diagram of a body movement task issued by a body motion presentation unit of the brain dysfunction evaluation device according to an embodiment of the present invention.
  • the body motion presentation unit 2 of the brain dysfunction evaluation device 100 is implemented as a touch screen.
  • the instruction data generating unit 30 of the data processing unit 1 generates the presentation data in the presentation cycle and displays it in the body motion presentation unit 2.
  • the task picture 231 shown on the body motion prompting unit 2 displays the task pattern 231, and simultaneously emits an instruction sound through a device such as a speaker for prompting the tester to click on the timing of the circular task pattern 231. Tester The cycle is repeated, and the task graph 231 is repeatedly clicked.
  • the body motion accuracy calculation unit 40 calculates the body motion accuracy based on the position at which the subject clicks (for example, X, Y in the coordinate system) and the timing at which the subject clicks.

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Abstract

一种根据个人差异调整身体运动任务的提示周期的脑功能障碍评价装置（100），包括有:身体运动提示单元（2），其向被检者提示身体运动任务；身体运动检测单元（3），其检测被检者的身体运动数据；操作输入单元（4），其接收被输入的信息，输出单元（5），其向外部输出信息，存储单元（6），其存储各项数据，以及数据处理单元（1），其包括有:身体运动任务选择部（10），其选择身体运动任务；数据取得部（20），其取得各项数据；指示数据生成部（30），其通过操作输入单元（4）输入的信息与身体运动正确度计算部（40）计算得到的身体运动正确度，生成指示周期，并以上述指示周期生成指示数据，身体运动正确度计算部（40），其计算身体运动正确度；认知障碍度评价部（50），其根据身体运动正确度评价认知障碍度。

Description

脑功能障碍评价装置 技术领域
本发明涉及脑功能障碍评价装置，尤其涉及一种能够调整提示周期的脑功能障碍评价装置。
背景技术
脑功能障碍，例如痴呆症症状，是一种慢性或进行性综合征，由多种影响记忆、思考、行为和日常活动能力的脑部疾病引起。阿兹海默病是痴呆症最常见的病因，很可能导致了高达70％的痴呆症病例。世界卫生组织于2012年发布称全世界有近3560万痴呆症患者。预计痴呆症患者人数到2030年将翻一番(6570万)，到2050年将达到现在的三倍。各国均有痴呆症患者，但其中一半以上(58％)生活在低收入和中等收入国家。到2050年，该比例将上升到70％以上。全世界每年治理和护理痴呆症患者的费用逾6040亿美元，包括为其提供卫生和社会护理的费用和痴呆症患者及其护理者的收入损失。
世界卫生组织也宣称缺乏及早的发现是一个主要问题。即使在高收入国家，也只有五分之一到一半痴呆症病例是在常规检查中发现的。而且确诊时通常已经是疾病的晚期阶段。
为了能低成本、高效率的早期诊断出痴呆症，各种基于带有触摸屏的平板电脑或微型电脑上的简易评价装置被开发出来。
但是，这些装置主要偏向于记忆力以及和记忆相关的判断能力的评价。研究表明，痴呆症的患者，四肢的协调动作以及在外部刺激下进行细致的动作有一定的难度。而这些身体运动机能的退化，通过精细度较高的手指运动在早期比较容易观察出来。
国际申请(申请号：PCT/JP2013/074582；发明名称：脑功能障碍评价方法、脑功能障碍评价装置及其代码)所公开的脑功能障碍评价装置就是针对这一问题，让被检者根据系统指示的一系列的身体运动任务进行身体运动，通过身体运动检出元件检出被检者的反应速度和反应位置的准确度，与预先准备的健康者的正确度做比较，评价被检者的身体运动能力。
但是，在现有技术中，脑功能障碍评价装置发出的身体运动任务指示的间隔时间(提 示周期)是事先设定的。然而，由于不同的被检者之间存在个人差别，如果不能针对每个被检者来调整身体运动任务的指示的间隔时间的话，可能导致身体运动任务指示之间的间隔时间过短，这样某些老年人单纯的运动迟缓就有可能被误判为痴呆症；或者间隔时间过长，导致被检者在测试途中感到厌倦而无法持续测量。
发明内容
鉴于上述问题，提供一种能够根据个人差异来调整身体运动任务的提示周期的脑功能障碍评价装置。
本发明的一实施方式的脑功能障碍评价装置包括：身体运动提示单元，其向被检者提示身体运动任务；身体运动检测单元，其检测被检者根据被提示的身体运动任务作出的身体运动相关的身体运动数据；操作输入单元，其接收被输入的信息，输出单元，其向外部输出信息，存储单元，其能够存储来自其他各单元的各项数据，以及数据处理单元，该数据处理单元包括有：身体运动任务选择部，其选择通过所述操作输入单元输入的身体运动任务、或预先设置的身体运动任务；数据取得部，其取得通过所述操作输入单元输入的信息、由所述身体运动检测单元检测到的被检者进行身体运动的身体运动数据、以及来自身体运动正确度计算部的身体运动正确度；指示数据生成部，其根据所述数据取得部取得的通过所述操作输入单元输入的信息与所述身体运动正确度计算部计算得到的身体运动正确度，生成指示周期，并根据所述身体运动任务选择部选择的身体运动任务以上述指示周期生成指示数据，身体运动正确度计算部，其根据所述身体运动数据与身体运动提示数据，计算身体运动正确度；认知障碍度评价部，其根据所述身体运动正确度评价认知障碍度。
根据本发明的实施例，由于指示周期的生成是根据身体运动正确度计算部得到的身体运动正确度得到的，由此可根据不同人群的身体运动水平来相应地调整大小，从而获得符合被检测人群的合适的指示周期。
附图说明
图1是本发明一实施方式的脑功能障碍评价装置的整体构成的功能框图。
图2是本发明一实施例的脑功能障碍评价装置中的指示数据生成部的功能框图。
图3是本发明一实施例的提示周期生成部进行的动作的流程示意图。
图4是本发明一实施例的脑功能障碍评价装置的身体运动提示单元发出的一种身体运 动任务的示意图。
具体实施方式
以下参照附图通过具体实例说明本发明的实施方式。
图1是本发明的一实施方式涉及的脑功能障碍评价装置的整体构成的功能框图。如图1所示，本发明所涉及的脑功能障碍评价装置100包括：数据处理单元1、身体运动提示单元2、身体运动检测单元3、操作输入单元4、输出单元5和存储单元6。数据处理单元1通常包含有CPU和内存。身体运动提示单元2可以由显示器、播音器等构成。身体运动检测单元3用于检测被检者的运动动作，可通过触摸屏、加速度传感器、磁性传感器、陀螺仪装置、动作捕捉装置、视频拍摄装置等装置实现。操作输入单元4可以由键盘、鼠标构成，也可与身体运动检测单元3为同一单元。输出单元5可由显示器、打印机等构成，也可与身体运动提示单元2通过同一装置实现。存储单元6由硬盘、SSD(Solid State Disk)等构成，用以储存数据和程序。另外，数据处理单元1也可与身体运动提示单元2、身体运动检测单元3、操作输入单元4、输出单元5、存储单元6都形成为一体。
如图1所示，数据处理单元1由身体运动任务选择部10、数据取得部20、指示数据生成部30、身体运动正确度计算部40、认知障碍度评价部50构成。
身体运动任务选择部10可以选择通过存储单元6预先存储的测试项目实施顺序，也可以在输出单元5或身体运动提示单元2显示身体运动任务一览，由被检者或看护人员通过操作输入单元4选择需要执行的测试。
数据取得部20取得通过操作输入单元4输入的信息、由所述身体运动检测单元3检测到的被检者进行身体运动的身体运动数据、以及由身体运动正确度计算部40计算得到的身体运动正确度。
指示数据生成部30生成用以提示被检者的身体运动指示数据，并通过身体运动提示单元2，向被检者提示数据处理单元1的指示数据生成部30生成的指示数据。指示数据可以是液晶屏上的图像提示、文字提示、亮光提示也可以是声音提示。液晶屏上的提示可以在特定的位置提示特定的图像，也可以在随机的位置提示显示随机的图像。身体提示单元2可以由显示单元和声音输出单元等构成。
身体运动正确度计算部40，其根据身体运动数据与身体运动提示数据，计算身体运动正确度。关于运动正确度的计算，在先申请(PCT/JP2013/074582)已经进行了非常详细 的描述。根据具体要求，例如可包括对位置正确度(即运动位置的一致度)和时序正确度(即反应时间的快慢)的加权运算等，得到最终的运动正确度。
认知障碍度评价部50根据所述身体运动正确度计算部40计算得到的身体运动正确度来评价认知障碍度。
以往的脑功能障碍评价装置中，指示数据生成部所生成的指示数据是以预先确定的指示周期产生的。但是，由于不同的被检者之间存在个人差别，如果一律采用预先确定的指示周期进行检测的话，不能针对每个被检者各自不同的情况来调整身体运动任务的指示间隔时间。该间隔时间过短可能导致老年人单纯的运动迟缓就有可能被误判为痴呆症；或者间隔时间过长，导致被检者在测试途中感到厌倦而无法持续测量。
因此本实施方式中的指示数据生成部30，能够根据数据取得部20取得的通过操作输入单元4输入的信息与身体运动正确度计算部40计算得到的身体运动正确度，来生成指示周期。从而根据所述身体运动任务选择部10选择的身体运动任务以上述指示周期生成指示数据。在这里，通过操作输入单元4输入的被检者信息可以包括：被检者的年龄、性别、健康状况等数据。通过对被检者信息、以及身体运动正确度计算部40计算得到的被检者的身体运动正确度的评估可以对指示周期进行调整。例如，如果被检者的身体运动正确度高于被检者年龄段的平均水平则可以将指示周期减小；如果被检者的身体运动正确度低于被检者年龄段的平均水平则可以将指示周期增加。或者，当被检者的身体运动正确度连续规定次数以上(例如，5次以上)高于预定的身体运动正确度则可以将指示周期减小规定值；当被检者的身体运动正确度连续规定次数以上(例如，5次以上)低于预定的身体运动正确度则可以将指示周期增加规定值。
另外，作为指示周期的另一调整方法，本发明还给出如下的具体实施例，下面根据图2和图3进行详细说明。
<实施例>
图2示出本发明一实施例的指示数据生成部30的具体的功能框图。但本实施例仅用于举例说明，并不用以限定本发明范围。如图2所示，本发明一实施例的指示数据生成部30由初设部31、身体运动正确度比较部32和调整部33构成。
初设部31根据来自数据取得部20的各项数据，主要对以下几个数据进行预设：初始提示周期T0、最大提示周期Tmax、最小提示周期Tmin、调整度t、以及基准运动正确度M0。
(初始提示周期T0的设定)
初始提示周期T0通过对如被检者或看护人员通过操作输入单元4输入的被检者姓名、性别、年龄等个人信息进行综合推算得到。
作为实例，可例举以下方法作为设定初始提示周期T0的方式。
具体是，预先在健康人群中选取不同年龄层的被检者实施同样的测试，把20岁左右健康人群的平均周期TAV作为基准提示周期。另，设定被检者年龄Y与提示周期的关系系数K，该关系系数的大小可通过实际测试年龄与运动能力的关系来推算。则，初设部122对初始提示周期的计算如下：
T0＝Y*K+TAV
(最大提示周期Tmax、最小提示周期Tmin、以及调整度t的设定)
最大提示周期Tmax可由设计者根据实验数据设定，例如可设定为倾向于具有脑功能障碍者所能适用的提示周期。最小提示周期Tmin例如可设定为与TAV相同，也可设置为其他运动能力好的人群所适用的提示周期。
而调整度t是指每次调整提示周期的幅度。调整度t值越小，每次调整的精度越高，但是可能导致为了达到理想的提示周期而需要的调整次数较多。而t值越大，每次调整的精度越低，但是调整次数越少。具体可根据实际需要来进行设定。
(基准运动正确度的设定)
基准运动正确度M0可设定为经过大量实验得到的正常人群测试结果的平均值，也可针对老年人群设定合适的值。
身体运动正确度比较部32进行身体运动正确度计算部40计算得到的身体正确度与基准运动正确度M0的比较。
调整部33中，当上述身体运动正确度比较部32的比较结果为所述身体运动正确度计算部40计算得到的身体正确度大于等于基准运动正确度M0时，使得提示周期为减去调整度t后的值，且当减去调整度t之后的值小于最小提示周期Tmin时，则使得提示周期为Tmin；而当上述身体运动正确度比较部32的比较结果为所述身体运动正确度计算部40计算得到的身体正确度小于基准运动正确度M0时，使得提示周期为加上调整度t后的值，且当加上调整度t之后的值大于等于最小提示周期Tmax，使得提示周期为Tmax。
然后，所述指示数据生成部30根据所述身体运动任务选择部10选择的身体运动任务，以上述调整得到的指示周期生成指示数据。
为了便于理解，下面利用图3对本发明的上述实施例的脑功能障碍评价装置的动作的 流程进行详细说明。
在步骤S11中，进行各项数据的取得，该步骤可在脑功能障碍评价装置100的数据处理单元1中的数据取得部20中实施。各项数据包括，例如，被检者或护理人员通过操作输入单元4输入的被检者的个人信息(年龄、性别、健康情况等)等。步骤S12中，由指示数据生成部30的初设部31进行以下几个数据进行预设：初始提示周期T0、最大提示周期Tmax、最小提示周期Tmin、调整度t、以及基准运动正确度M0。具体设置方式如上文所描述的。
接着，步骤S13中，指示数据生成部30生成指示数据。该生成的指示数据显示在身体运动提示单元2，被检者根据指示数据完成运动任务。如果是第一次生成指示数据则以初始提示周期T0生成。在步骤S14中，身体运动检测单元3获取被检者的运动数据。然后，在步骤S15中，数据处理单元1的身体运动正确度计算部40根据由身体运动检测单元3所取得的运动数据，计算被检者的运动正确度。
在步骤S16中，指示数据生成部30中的身体运动正确度比较部32对在步骤15中计算得到的被检者的运动正确度与在步骤A12中设置的基准运动正确度M0进行比较，判断由身体运动检测单元3取得的身体运动正确度是否大于等于基准运动准确度。当判断结果为是，则说明被检者的测试结果较好，可以考虑将提示周期(如果为首次调整则为初始提示周期T0)向减小的趋势调整，此时，进入到步骤S17判断提示周期减去调整值t是否小于等于Tmin。如果在步骤S17中的判断结果为是，即提示周期减去调整度t之后的值小于等于Tmin，则进入步骤S19使得提示周期为Tmin。如果在步骤S17中的判断结果为否，则进入步骤S20使得提示周期为减去了调整度t之后的值。
如果在步骤16的判断结果为否，则说明说明被检者的测试结果(正确度)小于基准值，此时可以考虑将提示周期(如果为首次调整则为初始提示周期T0)向增大的趋势调整，进入到步骤S18，判断提示周期加上了调整值t之后的值是否大于等于Tmax。如果在步骤S18中的判断结果为是，即提示周期加上调整度t之后的值大于等于Tmax，则进入步骤S21使得提示周期为Tmax。如果在步骤S18中的判断结果为否，则进入步骤S22使得提示周期为加上调整度t之后的值。
另外，图中虽然没有示出，步骤S19、S20、S21、S22之后都是进入到步骤S13，即步骤S13中，指示数据生成部30根据调整后的提示周期来生成提示数据。
<变化例1>
作为上述实施例的变化例1，与上述实施例的区别在于，指示数据生成部30还可以 进一步包括调整次数计数部34(图未示)，调整次数计数部34预先设置提示周期的调整次数N，当调整部32调整提示周期的次数达到该调整次数N时，即停止对提示周期的调整。由此，可以控制提示数据生成部30对提示周期的调整次数，从而减轻装置的数据处理负担，即，当提示周期经过N次的调整成为相对合适的值之后，将一直采用该提示周期进行提示。当然，如果使用者(被检者或护理人员)在认为必要的情况下也可以修改该调整次数N。另外，例如当上一次的提示周期调整以及经过了较长时间(例如几个月)，或者被检者的情况有所变化的情况，或者不同的被检者使用同一脑功能障碍评价装置的情况下，也可以重置调整部32的调整次数N，这样就可重新进行新一轮的提示周期的调整了。
<变化例2>
作为上述实施例的变化例1，与上述实施例的区别在于，在实施例中，当所述调整部中，提示周期减去调整度t之后的值小于最小提示周期Tmin时，使得提示周期等于Tmin；或者当提示周期加上调整度t之后的值大于等于最小提示周期Tmax时，使得提示周期等于Tmax，而在变化例2中，还可以对该调整度t进行调整，以使提示周期加减调整度t之后，依然落入到Tmin～Tmax的范围内。具体来说，当身体运动正确度比较部中的比较结果为所述身体运动正确度计算部计算得到的身体正确度大于等于基准运动正确度M0时，使得提示周期为减去调整度t后的值，当减去调整度t之后的值小于最小提示周期Tmin时，使得调整度t减小预定幅度并重新计算提示周期直到提示周期大于Tmin；当所述身体运动正确度比较部中的比较结果为所述身体运动正确度计算部计算得到的身体正确度小于基准运动正确度M0时，使得提示周期为加上调整度t后的值，当加上调整度t之后的值大于等于最小提示周期Tmax时，使得调整度t减小预定幅度并重新计算提示周期直到周期小于Tmax。
所述调整度自身调整的预定幅度可以根据需要进行预设，例如需要进行精细化调整的情况下，可设置为25％或以下，也可设置为50％等，其没有具体的限制，可根据设计者考虑或使用者的需要来设定。
图4是本发明一实施方式的脑功能障碍评价装置的身体运动提示单元发出的一种身体运动任务的示意图。
如图4所示，脑功能障碍评价装置100的身体运动提示单元2实现为触摸屏。数据处理单元1的指示数据生成部30以提示周期生成提示数据并显示在身体运动提示单元2。如图4所示，在身体运动提示单元2所示的测试画面200显示任务图形231，并通过扬声器等设备同时发出指示音，用于提示测试者点按圆形的任务图形231的时机。测试者配合提 示周期，反复的点按任务图形231。另外，身体运动正确度计算部40根据被检者点按的位置(例如坐标系中X，Y)以及被检者点按的时机来计算身体运动正确度。
以上对本发明的几个实施方式进行了说明，但这些实施方式仅作为举例说明，并不具有限定发明范围的意图。这些实施方式能够通过其他各种形态实施，在不超出发明主旨的范围内进行各种各样的省略、置换、变更、组合。这些实施方式和其变形包含在发明范围和主旨中的同时，也包含在权利要求书中记载的发明以及与其均等的范围内。

Claims (6)

  1. 一种脑功能障碍评价装置，其特征在于，包括：
    身体运动提示单元，其向被检者提示身体运动任务；
    身体运动检测单元，其检测被检者根据被提示的身体运动任务作出的身体运动相关的身体运动数据；
    操作输入单元，其接收被输入的信息，
    输出单元，其向外部输出信息，
    存储单元，其能够存储来自其他各单元的各项数据，以及
    数据处理单元，该数据处理单元包括有：
    身体运动任务选择部，其选择通过所述操作输入单元输入的身体运动任务、或预先设置的身体运动任务；
    数据取得部，其取得通过所述操作输入单元输入的信息、由所述身体运动检测单元检测到的被检者进行身体运动的身体运动数据、以及来自身体运动正确度计算部的身体运动正确度；
    指示数据生成部，其根据所述数据取得部取得的通过所述操作输入单元输入的信息与所述身体运动正确度计算部计算得到的身体运动正确度，生成指示周期，并根据所述身体运动任务选择部选择的身体运动任务以上述指示周期生成指示数据，
    身体运动正确度计算部，其根据所述身体运动数据与身体运动提示数据，计算身体运动正确度；
    认知障碍度评价部，其根据所述身体运动正确度评价认知障碍度。
  2. 如权利要求1所述的脑功能障碍评价装置，其特征在于，
    所述指示数据生成部中，当所述被检者的身体运动正确度连续规定次数以上大于等于预定的身体运动正确度则将所述指示周期减去规定值；当所述被检者的身体运动正确度连续规定次数以上小于预定的身体运动正确度则将所述指示周期加上规定值。
  3. 如权利要求1所述的脑功能障碍评价装置，其特征在于，
    所述指示数据生成部包括：
    初设部，其根据所述数据取得部取得的通过所述操作输入单元输入的信息，进行初 始提示周期T0、最大提示周期Tmax、最小提示周期Tmin、调整度t、以及基准运动正确度M0的设置；
    身体运动正确度比较部，其比较所述身体运动正确度计算部计算得到的身体正确度与在所述初设部中设置的基准运动正确度M0，
    调整部，其对指示周期进行调整，当身体运动正确度比较部中的比较结果为所述身体运动正确度计算部计算得到的身体正确度大于等于基准运动正确度M0时，使得提示周期为减去调整度t后的值，且当减去调整度t之后的值小于最小提示周期Tmin时，则使得提示周期为Tmin；当所述身体运动正确度比较部中的比较结果为所述身体运动正确度计算部计算得到的身体正确度小于基准运动正确度M0时，使得提示周期为加上调整度t后的值，且当加上调整度t之后的值大于等于最小提示周期Tmax，使得提示周期为Tmax。
  4. 如权利要求3所述的脑功能障碍评价装置，其特征在于，
    所述指示数据生成部进一步包括调整次数计数部，该调整次数计数部预先设置提示周期的调整次数N，并对所述调整部调整所述提示周期的次数进行计数，
    当所述调整次数计数部的计数达到所述调整次数N时，使得所述调整部停止对提示周期的调整。
  5. 如权利要求3所述的脑功能障碍评价装置，其特征在于，
    所述调整部中，当身体运动正确度比较部中的比较结果为所述身体运动正确度计算部计算得到的身体正确度大于等于基准运动正确度M0时，使得提示周期为减去调整度t后的值，且当减去调整度t之后的值小于最小提示周期Tmin时，使得调整度t减小预定幅度并重新计算提示周期直到提示周期大于Tmin；当所述身体运动正确度比较部中的比较结果为所述身体运动正确度计算部计算得到的身体正确度小于基准运动正确度M0时，使得提示周期为加上调整度t后的值，且当加上调整度t之后的值大于等于最小提示周期Tmax时，使得调整度t减小预定幅度并重新计算提示周期直到周期小于Tmax。
  6. 如权利要求5所述的脑功能障碍评价装置，其特征在于，
    所述调整度减小的预定幅度为25％～50％。
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Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6653222B2 (ja) * 2016-06-06 2020-02-26 マクセル株式会社 手指運動練習メニュー生成システム、方法、及びプログラム
CN109688926B (zh) * 2016-09-14 2022-09-13 豪夫迈·罗氏有限公司 用于认知和运动疾病或障碍的数字生物标记
CN109461503B (zh) * 2018-11-14 2020-12-18 科大讯飞股份有限公司 题目得分评估方法及认知评估装置、设备、可读存储介质
JP7135887B2 (ja) * 2019-01-24 2022-09-13 トヨタ自動車株式会社 促し発話装置、促し発話方法及びプログラム
KR102604559B1 (ko) * 2020-07-20 2023-11-20 연세대학교 산학협력단 약물 부작용에 대한 정보 제공 방법 및 이를 이용한 디바이스

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030233032A1 (en) * 2002-02-22 2003-12-18 Teicher Martin H. Methods for continuous performance testing
CN1521683A (zh) * 2003-01-27 2004-08-18 汤一平 老年性痴呆防止方法
CA2461272A1 (en) * 2004-03-17 2005-09-17 Katsuya Urakami Self-diagnostic system for forgetfulness and apparatus
CN1835714A (zh) * 2003-07-28 2006-09-20 学校法人东海大学 痴呆检查装置、痴呆检查服务器及客户机、痴呆检查系统
US20090130640A1 (en) * 2007-11-05 2009-05-21 Posit Science Corporation N-back exercise for training cognition

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000339074A (ja) * 1999-05-26 2000-12-08 Sony Corp プレファレンス検出装置および方法、並びに媒体
US20020103429A1 (en) * 2001-01-30 2002-08-01 Decharms R. Christopher Methods for physiological monitoring, training, exercise and regulation
US6475161B2 (en) * 2001-03-29 2002-11-05 The Mclean Hospital Corporation Methods for diagnosing Alzheimer's disease and other forms of dementia
JP4524054B2 (ja) * 2001-06-14 2010-08-11 株式会社ユニメック 脳・神経系疾患の病状診断、投薬処方及び機能回復訓練のための支援システム
JP2006158944A (ja) * 2005-05-30 2006-06-22 Hq Research Japan:Kk 脳機能測定システム及び方法、並びにコンピュータプログラム
US8013837B1 (en) * 2005-10-11 2011-09-06 James Ernest Schroeder Process and apparatus for providing a one-dimensional computer input interface allowing movement in one or two directions to conduct pointer operations usually performed with a mouse and character input usually performed with a keyboard
CN201200401Y (zh) * 2008-01-31 2009-03-04 中国人民解放军第三军医大学第三附属医院 一种老年性痴呆的诊断装置
US8634638B2 (en) * 2008-06-20 2014-01-21 Sri International Real-time action detection and classification
US10176299B2 (en) * 2011-11-11 2019-01-08 Rutgers, The State University Of New Jersey Methods for the diagnosis and treatment of neurological disorders
WO2013120075A1 (en) * 2012-02-09 2013-08-15 Anthrotronix, Inc. Performance assessment tool
JP2014041314A (ja) * 2012-08-24 2014-03-06 Suzuki Motor Corp 電動車いす運転者評価装置及び電動車いす運転者評価プログラム
US20140257141A1 (en) * 2013-03-05 2014-09-11 Great Lakes Neurotechnologies Inc. Movement disorder monitoring and symptom quantification system and method
JP6122130B2 (ja) * 2013-09-11 2017-04-26 日立マクセル株式会社 脳機能障害評価方法、脳機能障害評価装置およびそのプログラム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030233032A1 (en) * 2002-02-22 2003-12-18 Teicher Martin H. Methods for continuous performance testing
CN1521683A (zh) * 2003-01-27 2004-08-18 汤一平 老年性痴呆防止方法
CN1835714A (zh) * 2003-07-28 2006-09-20 学校法人东海大学 痴呆检查装置、痴呆检查服务器及客户机、痴呆检查系统
CA2461272A1 (en) * 2004-03-17 2005-09-17 Katsuya Urakami Self-diagnostic system for forgetfulness and apparatus
US20090130640A1 (en) * 2007-11-05 2009-05-21 Posit Science Corporation N-back exercise for training cognition

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