TW201424692A - System with mental function index analysis - Google Patents

System with mental function index analysis Download PDF

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TW201424692A
TW201424692A TW101151229A TW101151229A TW201424692A TW 201424692 A TW201424692 A TW 201424692A TW 101151229 A TW101151229 A TW 101151229A TW 101151229 A TW101151229 A TW 101151229A TW 201424692 A TW201424692 A TW 201424692A
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user
module
mental function
mental
indicator
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TW101151229A
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Chinese (zh)
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Cang-Ju You
zhong-zhi Lin
mei-juan Huang
Su-Zhu Xu
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zhong-zhi Lin
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Abstract

A system with mental function index analysis comprises at least one user end and a system end. The user end comprises a wireless sensing interactive apparatus, an interactive display module, and an identity recognition module. The system end is connected with the user end and comprises a user database and a mental function analysis module. The mental function analysis module uses the identity recognition module to recognize the user identity and is connected to the user database to retrieve user account data and personalized information. The wireless sensing interactive apparatus at the user end is operated to analyze mental degeneration index data of the user and output the same as mental function analysis data. This invention uses an interactive operation to rapidly perform measurement and increases the willingness of the subjects and notifies subjects' relatives if the measurement result indicating abnormality to achieve the purpose of early finding and early treatment.

Description

具有心智功能指標分析之系統 System with analysis of mental function indicators

本發明係提供一種具有心智功能指標分析之系統,尤指其技術上提供一種可自動辨識使用者、並以互動式的操作方式來分析使用者之個人化資訊及心智退化指標資料,達到快速測量並提升受測者測量意願之目的。 The present invention provides a system for analyzing mental indicators, in particular, providing a method for automatically identifying users and analyzing user personalized information and mental deterioration indicators in an interactive manner to achieve rapid measurement. And to enhance the subject's willingness to measure.

健康老化必須維持正常認知功能。認知功能退化,常以記憶力與執行功能(Executive functions)障礙是最早之臨床表現,此種障礙甚至已是阿茲海默氏症(AD)極早期之症狀。這些輕微的認知障礙,即使尚未達失智症程度時,老人之藥物遵從性、財務管理、日常飲食購買與準備與家務,處理之能力,已開始產生問題,因此若能早期偵測認知功能退化,及早介入,不僅可預防失智症之發生與進展,也有助於保持健康與良好生活品質。根據2007年美國華盛頓國際失智症預防研討會報告,目前已知世界上約有2千六百萬人口為失智症所困擾,推估至2050年會有超過1億的人口患有失智症。因此,許多研究者冀望透過高科技介入,以延緩失智症對個人日常生活和認知功能的影響。 Healthy aging must maintain normal cognitive function. Degradation of cognitive function, often with memory and executive functions, is the earliest clinical manifestation, and this disorder is even a very early symptom of Alzheimer's disease (AD). These mild cognitive impairments, even if they have not reached the level of dementia, the elderly's drug compliance, financial management, daily diet purchase and preparation and housework, the ability to deal with, has begun to cause problems, so if early detection of cognitive decline Early intervention can not only prevent the occurrence and progress of dementia, but also help to maintain health and good quality of life. According to the 2007 Washington International Dementia Prevention Symposium, it is known that there are about 26 million people in the world suffering from dementia. It is estimated that more than 100 million people will suffer from dementia by 2050. disease. Therefore, many researchers hope to intervene through high technology to delay the impact of dementia on individuals' daily life and cognitive function.

然而,申請人發現,若要將高科技應用至測量心智功能會遭遇以下問題:(1)滑鼠、鍵盤等電腦操作模式對於高 齡者來說過於複雜,由於現今的高齡者於生活經驗中鮮少接觸科技產品,因此在使用電腦時往往覺得太困難或者複雜,降低其使用意願,使得科技介入的機會降低;(2)科技產品與心智功能指標分析的整合方式未知,目前在心智功能指標評估上面,多半還是使用紙本作業,但紙本作業題目變化性不高,年長者多做幾次之後便會感覺到自己被測驗、檢察,因此產生反感不願意接受後續測驗,如何運用科技改善紙本作業的習慣及分析方式為目前相關研究者極欲努力的目標。 However, applicants have found that the application of high technology to measuring mental functions suffers from the following problems: (1) computer operation modes such as mouse and keyboard are high. It is too complicated for the elderly. Because today's elderly people rarely have access to technology products in their life experience, they often feel too difficult or complicated when using computers, reducing their willingness to use and reducing the chances of technological intervention. (2) Technology The integration of product and mental function indicators is unknown. At present, most of the mental function indicators are still used on paper, but the paperwork is not highly variable. Older people will feel that they are being tested after several times. Therefore, there is a resentment and reluctance to accept follow-up tests. How to use technology to improve the habits and analysis methods of paperwork is the goal of the current researchers.

是以,針對上述習知所存在之問題點,如何開發一種更具理想實用性之創新系統,實消費者所殷切企盼,亦係相關業者須努力研發突破之目標及方向。 Therefore, in view of the problems existing in the above-mentioned practices, how to develop an innovative system that is more ideal and practical, the consumers are eagerly awaiting, and the relevant industry must strive to develop the goal and direction of breakthrough.

有鑑於此,發明人本於多年從事相關研究經驗,針對上述之目標,詳加設計與審慎評估後,終得一確具實用性之本發明。 In view of this, the inventor has been engaged in relevant research experience for many years, and after detailed design and careful evaluation of the above objectives, the present invention has finally become practical.

目前以紙本來測驗心智功能的方式常會降低受測者的測量意願,且在分析效能上也較不佳,若要將目前電腦操作模式加入心智測量的功能則會遇到高齡者因生活經驗跟使用習慣不同而不會使用滑鼠、鍵盤之障礙,如何做出一個符合長者使用經驗的科技產品同時具有心智功能指標分析功能,並能及時將異常狀況通報 家屬,達到早期發現、早期治療的目的為許多人欲解決的目標。 At present, the way of testing mental function on paper often reduces the willingness of the subject to measure, and the performance of the analysis is also poor. If the current computer operation mode is added to the function of mental measurement, the elderly will encounter life experience. The use of different habits does not use the obstacles of the mouse and keyboard, how to make a technology product that meets the experience of the elderly, and also has the function of analyzing mental function indicators, and can notify the abnormal situation in time. Family members, the purpose of reaching early detection and early treatment is the goal that many people want to solve.

為改善上述之問題,本發明提供一種具有心智功能指標分析之系統,係包含有:至少一使用者端,該使用者端包括一組無線感測互動設備、一互動顯示模組及一身分辨識模組,該身分辨識模組位於該互動顯示模組上,可進行使用者身分辨識,該無線感測互動設備具有一設備連線模組及一量表輸入模組,可提供使用者透過不同之操作方式操作,並由該互動顯示模組以聲音配合圖像的方式告知操作內容;及一系統端,該系統端連線該使用者端,其包括一使用者資料庫及一心智功能分析模組,該使用者資料庫儲存至少一使用者帳號資料及其個人化資訊,該個人化資訊至少包含使用者之性別、年齡、教育程度、額葉評估量表(frontal assessment battery,FAB)、簡易精神狀態檢測量表(Mini-Mental State Examination,MMSE)以及蒙特利爾認知評估(Montreal cognitive assessment,MoCA)等心智退化指標資料,該心智功能分析模組係先由該身分辨識模組傳來之一使用者識別碼而連線至該使用者資料庫擷取該使用者識別碼所代表之該使用者帳號資料及該個人化資訊後,該心智功能分析模組可藉由該無線感測互動設備之操作來分析使用者心智功能狀況,其包含一正規化處理模組、一層級分類模組及 一輸出模組,所有個人化的心智退化指標資料會依據指標標準值在正規化處理模組中之一正規化運算單元換算,正規化到同一區間以進行不同心智退化指標資料間的比較,正規化後的數據會被導入該層級分類模組之中作退化狀況的評估,可透過一分類演算法分類將使用者為失智、輕微失智與正常三種類別,並透過該輸出模組將結果輸出至該使用者端顯示。 To improve the above problem, the present invention provides a system for analyzing a mental function indicator, comprising: at least one user end, the user end comprising a set of wireless sensing interaction devices, an interactive display module, and an identity identification The identity recognition module is located on the interactive display module for user identification. The wireless sensing interaction device has a device connection module and a meter input module, which can provide different users. Operating mode, and the interactive display module informs the operation content by means of sound and image; and a system end, the system end connects the user end, and includes a user database and a mental function analysis a module, the user database storing at least one user account data and personalization information thereof, the personalized information including at least a user's gender, age, education level, frontal assessment battery (FAB), Mentality such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) For the indicator data, the mental function analysis module first transmits a user identifier from the identity recognition module and connects to the user database to retrieve the user account data represented by the user identifier. After the personalization information, the mental function analysis module can analyze the mental function status of the user by using the operation of the wireless sensing interaction device, and includes a normalized processing module, a hierarchical classification module, and An output module, all personalized mental deterioration index data will be converted into one of the normalized processing units according to the standard value of the index, and normalized to the same interval for comparison between different mental deterioration indicators. The data will be imported into the hierarchical classification module for evaluation of the degradation status. The classification can be used to classify the user into three categories: dementia, slight dementia and normal, and the result will be obtained through the output module. Output to the user side display.

本發明在心智功能測量過程中應用了多媒體與無線感測技術,並可搭配智慧型手機、平板電腦或數位方塊等無線感測互動設備來使用,不但可引起使用者之操作興趣,使測量過程增添了許多娛樂性;再者,本發明將傳統量表所測量的4項認知領域,包含工作記憶、專注、定向以及處理速度,設計成三類多媒體遊戲內容,包含順序、配對以及選擇,順序類玩法為依照題目的需求把答案依序拼在一起;配對類玩法為依照題目把答案進行配對;選擇類玩法為根據題目受測者透過按壓或者搖晃的方式進行回答。可提供使用者在測量的過程不會過於乏味與缺乏變化性,並同時得以了解健康狀態,隨時注意讓使用者身心都能維持在最佳狀態。 The invention applies multimedia and wireless sensing technology in the process of measuring mental function, and can be used with wireless sensing interaction devices such as smart phones, tablets or digital blocks, which not only can cause user's operational interest, but also the measurement process. Adding a lot of entertainment; in addition, the present invention designs four cognitive fields, including working memory, focus, orientation, and processing speed, which are measured by traditional scales, into three types of multimedia game content, including order, pairing, and selection, and order. The class game method is to put the answers together according to the requirements of the topic; the pairing class game method is to match the answers according to the questions; the selection class game method is to answer according to the subject subject by pressing or shaking. It can provide users with no tedious and lack of variability in the measurement process, and at the same time, they can understand the state of health and keep the user's mind and body in an optimal state.

有關本發明所採用之技術、手段及其功效,茲舉一較佳實施例並配合圖式詳細說明於後,相信本發明上述之目的、構造及特徵,當可由之得一深入而具體的瞭解。 The above-mentioned objects, structures and features of the present invention will be described in detail with reference to the preferred embodiments of the present invention. .

參閱第一圖至第六圖所示,本發明係提供一種具有心智功能指標分析之系統,包括:至少一使用者端(1),該使用者端(1)包括一組無線感測互動設備(11)、一互動顯示模組(13)及一身分辨識模組(15),該身分辨識模組(15)位於該互動顯示模組(13)上,可進行使用者身分辨識,該無線感測互動設備(11)可為智慧型手機、平板電腦或數位方塊,其具有一設備連線模組(111)及一量表輸入模組(113),可提供使用者透過按壓操作、接觸操作或動態感測操作等不同之操作方式操作,並由該互動顯示模組(13)以聲音配合圖像等多媒體的方式告知操作內容;及一系統端(2),該系統端(2)連線該使用者端(1),其包括一使用者資料庫(21)及一心智功能分析模組(23),該使用者資料庫(21)儲存至少一使用者帳號資料(211)及其個人化資訊(213),使用者可透過該使用者端(1)之一帳號權限控管單元(17)來針對該使用者資料庫(21)之帳號及權限作控管,該個人化資訊(213)至少包含使用者之性別、年齡、教育程度、額葉評估量表(frontal assessment battery,FAB)、簡易精神狀態檢測量表(Mini-Mental State Examination,MMSE)以及蒙特利爾認知評估(Montreal cognitive assessment,MoCA)等心智退 化指標資料(215),該心智功能分析模組(23)係先由該身分辨識模組(15)傳來之一使用者識別碼(151)而連線至該使用者資料庫(21)擷取該使用者識別碼(151)所代表之該使用者帳號資料(211)及該個人化資訊(213)後,該心智功能分析模組(23)可藉由該無線感測互動設備(11)之操作來分析使用者心智功能狀況,其包含一正規化處理模組(231)、一層級分類模組(233)及一輸出模組(235),所有個人化的心智退化指標資料(215)會依據指標標準值(2311)在正規化處理模組(231)中之一正規化運算單元(2313)換算,正規化到同一區間以進行不同心智退化指標資料(215)間的比較,正規化後的數據會被導入該層級分類模組(233)之中作退化狀況的評估,可透過一分類演算法(2331)分類將使用者為失智、輕微失智與正常三種類別,並透過該輸出模組(235)將結果輸出至該使用者端(1)顯示,又該使用者端(1)更包含一異常狀況通報模組(19),當該輸出模組(235)將結果輸出至該使用者端(1)時,該異常狀況通報模組(19)可判斷結果是否異常來通報使用者及其家屬,並傳送至該互動顯示模組(13)顯示。 Referring to the first to sixth figures, the present invention provides a system for analyzing a mental function indicator, comprising: at least one user end (1), the user end (1) comprising a set of wireless sensing interaction devices (11) an interactive display module (13) and an identity recognition module (15). The identity recognition module (15) is located on the interactive display module (13) for user identification, the wireless The sensing interaction device (11) can be a smart phone, a tablet or a digital box, and has a device connection module (111) and a meter input module (113), which can provide a user through pressing operation and contact. Different operation modes such as operation or dynamic sensing operation, and the interactive display module (13) informs the operation content by means of multimedia such as sound and image; and a system end (2), the system end (2) Connecting the user terminal (1), comprising a user database (21) and a mental function analysis module (23), the user database (21) storing at least one user account data (211) and Personalized information (213), the user can access the account authority control unit (17) through the user terminal (1) To control the account and authority of the user database (21), the personalized information (213) includes at least the user's gender, age, education level, frontal assessment battery (FAB), Mental Retaliation (Mini-Mental State Examination, MMSE) and Montreal Cognitive Assessment (MoCA) The indicator data (215), the mental function analysis module (23) is first connected to the user database (21) by the user identification code (151) sent from the identity recognition module (15). After the user account data (211) and the personalized information (213) represented by the user identifier (151) are retrieved, the mental function analysis module (23) can use the wireless sensing interaction device ( 11) operation to analyze the user's mental function status, comprising a normalization processing module (231), a hierarchical classification module (233) and an output module (235), all personalized mental degradation indicator data ( 215) According to the index standard value (2311), one of the normalization processing units (2313) in the normalization processing module (231) is normalized to the same interval to perform comparison between different mental deterioration index data (215). The normalized data is imported into the hierarchical classification module (233) for evaluation of degradation status, and the classification can be classified into three categories: dementia, slight dementia, and normal through a classification algorithm (2331). Outputting the result to the user terminal (1) through the output module (235), and the user terminal (1) is further An abnormal condition notification module (19) is included. When the output module (235) outputs the result to the user end (1), the abnormal condition notification module (19) can determine whether the result is abnormal to notify the user. And their family members, and transmitted to the interactive display module (13) display.

由本發明之第一圖所示,本發明的服務模式分為兩層架構,其一為資料收集層,另一為資料分析層,其中該資料收集層主要是用來收集各項健康資料參數及心智功能指 標參數,並將結果儲存至資料庫中,最後形成該使用者資料庫(21)。另請搭配參閱第二圖所示,資料收集層之運作架構主要係透過該身份辨識模組(15)、該設備連線模組(111)、該量表輸入模組(113)及資料管理模組,其中該資料管理模組為該使用者端(1)之該帳號權限控管單元(17)與該系統端(2)之該使用者資料庫(21)所合稱。在資料收集層的運作方式為:首先本發明之系統會先利用該身分辨識模組(15)來作為使用者之登入,其中該身分辨識模組(15)可為RFID身份辨識裝置、指紋辨識裝置或臉部辨識裝置,在使用者登入之後系統可以根據兩種方式取得使用者之個人化資訊(213)如健康資訊或心智退化指標資料(215):其一係透過該設備連線模組(111),結合三類多媒體遊戲方式,包含順序、配對以及選擇測得心智功能指標如:錯誤次數、所得分數、操作步驟、是否完成遊戲以及總時間等,遊戲玩法:順序類玩法為依照題目的需求把答案依序拼在一起;配對類玩法為依照題目把答案進行配對;選擇類玩法為根據題目受測者透過按壓或者搖晃的方式進行回答。其二係透過該量表輸入模組(113)以問卷調表的形式來測得心智功能指標,量表題庫單元會根據題目配分量表會被轉換為分數,其中,前述之該心智功能指標可為工作記憶、專注、定向或處理速度,不論是透過該設備連線模組(111)或該量表輸入模組(113)來測驗, 皆會分別透過運算統計單元來換算成使用者之個人化資訊(213)或心智退化指標資料(215),並由資料上傳單元上傳至該使用者資料庫(21)中儲存。而資料分析層主要是擷取各項個人化資訊(213)或心智退化指標資料(215),並運用指標標準值來判斷健康狀況提供改善建議,最後輸出結果給使用者,其運作架構主要係透過一正規化處理模組(231)、一層級分類模組(233)及一輸出模組(235)來運作,請搭配參閱第三圖所示,所有個人化資訊(213)或心智退化指標資料(215)會依據指標標準值(2311)在正規化處理模組(231)之正規化運算單元(2313)換算中換算,正規化到同一區間以進行不同心智退化指標資料(215)間的比較,正規化後的數據會被導入該層級分類模組(233)之中作退化狀況的評估,可透過分類演算法(2331)分類將使用者為失智、輕微失智與正常三種類別,其中,分類演算法(2331)可為傳統數學統計方法或以類神經網路來建置,又該層級分類模組(233)具有一自動回饋單元(2333),當每一筆新的資料輸入時,該自動回饋單元(2333)能對該指標標準值(2311)作動態修正,以逐步提升分類演算法(2331)精準度,並透過該正規化處理模組(231)之一指標自動更新單元(2315)來更新該指標標準值(2311),最後該輸出模組(235)會將結果輸出至該使用者端(1)顯示,其中,該輸出模組(235)包含一圖表 繪製單元(2351)、一下載單元(2353)及一列印單元(2355),可將該分類演算法(2331)算出之結果編輯並以圖表的方式呈現給使用者,同時提供報表下載、郵寄及列印等輸出服務。 As shown in the first figure of the present invention, the service mode of the present invention is divided into two layers, one of which is a data collection layer and the other is a data analysis layer, wherein the data collection layer is mainly used to collect various health data parameters and Mental function The parameters are stored, and the results are stored in the database, and finally the user database (21) is formed. Please also refer to the second figure. The operating structure of the data collection layer is mainly through the identity module (15), the device connection module (111), the meter input module (113) and data management. The module, wherein the data management module is commensurate with the account authority control unit (17) of the user end (1) and the user database (21) of the system end (2). The operation of the data collection layer is as follows: First, the system of the present invention first uses the identity recognition module (15) as a user login, wherein the identity recognition module (15) can be an RFID identification device and fingerprint identification. Device or facial recognition device, after the user logs in, the system can obtain the user's personalized information (213) such as health information or mental deterioration index data (215) in two ways: through the device connection module (111), combined with three types of multimedia game modes, including order, pairing and selection of measured mental function indicators such as: number of errors, scores obtained, operation steps, whether to complete the game and total time, etc., game play: sequential game method is according to the topic The demand puts the answers together in order; the pairing game method pairs the answers according to the questions; the selection class game method is to respond according to the subject subject by pressing or shaking. The second system uses the scale input module (113) to measure the mental function indicator in the form of a questionnaire, and the meter question base unit is converted into a score according to the title distribution table, wherein the mental function indicator is as described above. Can be tested for working memory, focus, orientation or processing speed, whether through the device connection module (111) or the meter input module (113). Each of them will be converted into a user's personalized information (213) or mental deterioration indicator data (215) through the arithmetic statistics unit, and uploaded to the user database (21) by the data uploading unit for storage. The data analysis layer mainly collects individualized information (213) or mental deterioration index data (215), and uses the standard value of the indicator to judge the health status to provide suggestions for improvement. Finally, the output is output to the user. Operate through a normalized processing module (231), a hierarchical classification module (233) and an output module (235). Please refer to the third figure for all personalized information (213) or mental deterioration indicators. The data (215) will be converted into the normalization unit (2313) of the normalization processing module (231) according to the index standard value (2311), and normalized to the same interval to perform data between different mental deterioration indicators (215). In comparison, the normalized data is imported into the hierarchical classification module (233) for evaluation of the degradation status, and the classification algorithm (2331) classifies the user into three categories: dementia, slight dementia, and normal. The classification algorithm (2331) can be built by a traditional mathematical statistical method or a neural network, and the hierarchical classification module (233) has an automatic feedback unit (2333), when each new data is input. , the automatic feedback unit (2333) can dynamically modify the indicator standard value (2311) to gradually improve the accuracy of the classification algorithm (2331), and update it through the indicator automatic update unit (2315) of the normalization processing module (231). The indicator standard value (2311), and finally the output module (235) outputs the result to the user terminal (1) display, wherein the output module (235) includes a chart The drawing unit (2351), a downloading unit (2353) and a printing unit (2355) can edit the result calculated by the classification algorithm (2331) and present it to the user in a graphical manner, and provide report downloading, mailing, and Print and other output services.

藉由上述之系統架構可建構一完整的心智功能量測服務模式,以下茲針對本發明之操作使用流程舉一實施例如第四圖所示,其簡述如下:使用者在登入後及可進行指標設備數據量測與指標量表輸入,完成輸入後,指標量表與使用者資料則上傳至該使用者資料庫(21)中,接著進行指標資料彙整與正規化並進行退化狀況評估,若退化評估為高危險群,則系統將主動地將異常狀況通報使用者的家屬並提醒其應注意,此時系統會輸出指標數據量表提供給使用者參考;若退化評估為正常,則直接進行指標數據量表輸出。 A complete mental function measurement service mode can be constructed by the above system architecture. The following is an implementation of the operation process of the present invention. For example, the fourth figure is as follows: the user can log in and can proceed. The indicator device data measurement and indicator scale input. After the input is completed, the indicator scale and user data are uploaded to the user database (21), and then the indicator data is collected and normalized, and the degradation status is evaluated. If the degradation is assessed as a high-risk group, the system will actively notify the user's family of the abnormal situation and remind them to pay attention. At this time, the system will output the indicator data scale for the user's reference; if the degradation assessment is normal, the system will directly proceed. Indicator data scale output.

根據上述的系統與操作流程可知本發明建構一完整的心智功能量測服務模式。另外,本發明在測量過程中應用了多媒體與無線感測技術,並可搭配智慧型手機、平板電腦或數位方塊等無線感測互動設備來使用,另請參閱第五圖所示,本發明之系統所使用之無線感測互動設備(11)係以數位方塊來作示例,使用者可由該互動顯示模組(13)來觀看目前之操作任務狀態及指令,其操作方式說明請搭配參考第六圖所示,簡述如下:使用者在登入後,選擇 要執行順序類、配對類以及選擇類的互動多媒體遊戲,並記錄初始時間,接著互動顯示模組上面會顯示遊戲的規則並配合語音、動畫以及畫面的導覽,讓使用者可以更清楚了解該如何使用,同時為因應不同種族的使用者,我們將規畫多種語言,使用者需要按照系統所給予的題目依序完成。當使用者闖關成功後會記錄其所花時間,並將該指標資料上傳至使用者資料庫(21)中,接著進行指標資料彙整與正規化並進行退化狀況評估,若退化評估為高危險群,則系統將主動地將異常狀況通報使用者的家屬並提醒其應注意,此時系統會輸出指標數據量表提供給使用者參考;若退化評估為正常,則直接進行指標數據量表輸出。此種操作方式不但可引起使用者之興趣,使測量過程增添了許多娛樂性;再者,本發明將心智功能量測與多媒體互動遊戲結合,可提供使用者在測量的過程不會過於乏味與缺乏變化性,並同時得以了解健康狀態,隨時注意讓使用者身心都能維持在最佳狀態。 According to the above system and operational flow, the present invention constructs a complete mental function measurement service mode. In addition, the present invention applies multimedia and wireless sensing technology in the measurement process, and can be used with a wireless sensing interaction device such as a smart phone, a tablet computer or a digital block, and also refers to the fifth figure, the present invention The wireless sensing interaction device (11) used in the system is exemplified by a digital box. The user can view the current operation task status and instructions by the interactive display module (13), and the operation mode description is matched with the reference sixth. As shown in the figure, the brief is as follows: After the user logs in, select To perform an interactive multimedia game of sequence, pairing, and selection classes, and record the initial time, then the interactive display module will display the rules of the game and accompany the navigation of the voice, animation, and screen so that the user can understand the How to use, and in order to respond to different ethnic users, we will plan multiple languages, users need to follow the system to give the order in order. When the user is successful, the time spent by the user will be recorded, and the indicator data will be uploaded to the user database (21), followed by the index data collection and normalization and the degradation status assessment, if the degradation assessment is a high risk group The system will actively notify the user's family of abnormal conditions and remind them to pay attention. At this time, the system will output the indicator data scale to provide the user with reference; if the degradation assessment is normal, the indicator data scale will be directly output. This mode of operation not only attracts the user's interest, but also adds a lot of entertainment to the measurement process. Moreover, the present invention combines the mental function measurement with the multimedia interactive game to provide the user with no tediousness in the measurement process. Lack of variability, while at the same time being able to understand the state of health, always pay attention to keep the user's body and mind in the best condition.

前文係針對本發明之較佳實施例為本發明之技術特徵進行具體之說明;惟,熟悉此項技術之人士當可在不脫離本發明之精神與原則下對本發明進行變更與修改,而該等變更與修改,皆應涵蓋於如下申請專利範圍所界定之範疇中。 The present invention has been described with reference to the preferred embodiments of the present invention. However, those skilled in the art can change and modify the present invention without departing from the spirit and scope of the invention. Such changes and modifications shall be covered in the scope defined by the following patent application.

(1)‧‧‧使用者端 (1) ‧‧‧user end

(11)‧‧‧無線感測互動設備 (11)‧‧‧Wireless sensing interactive device

(111)‧‧‧設備連線模組 (111)‧‧‧Device Wiring Module

(113)‧‧‧量表輸入模組 (113)‧‧‧Scaling Input Module

(13)‧‧‧互動顯示模組 (13)‧‧‧Interactive display module

(15)‧‧‧身分辨識模組 (15) ‧‧‧ Identity Identification Module

(151)‧‧‧使用者識別碼 (151)‧‧‧User ID

(17)‧‧‧帳號權限控管單元 (17) ‧‧‧ Account Privilege Control Unit

(19)‧‧‧異常狀況通報模組 (19) ‧ ‧ Anomaly notification module

(2)‧‧‧系統端 (2) ‧‧‧System side

(21)‧‧‧使用者資料庫 (21)‧‧‧User database

(211)‧‧‧使用者帳號資料 (211)‧‧‧ User account information

(213)‧‧‧個人化資訊 (213)‧‧‧ Personalized information

(215)‧‧‧心智退化指標資料 (215) ‧ ‧ Mental Deterioration Indicators Information

(23)‧‧‧心智功能分析模組 (23) ‧ ‧ Mental Function Analysis Module

(231)‧‧‧正規化處理模組 (231) ‧ ‧ formal processing module

(2311)‧‧‧指標標準值 (2311) ‧ ‧ indicator standard value

(2313)‧‧‧正規化運算單元 (2313) ‧ ‧ formalized arithmetic unit

(2315)‧‧‧指標自動更新單元 (2315) ‧ ‧ automatic indicator update unit

(233)‧‧‧層級分類模組 (233) ‧ ‧ hierarchical classification module

(2331)‧‧‧分類演算法 (2331)‧‧‧Classification algorithm

(2333)‧‧‧自動回饋單元 (2333)‧‧‧Automatic feedback unit

(235)‧‧‧輸出模組 (235)‧‧‧ Output Module

(2351)‧‧‧圖表繪製單元 (2351)‧‧‧Chart drawing unit

(2353)‧‧‧下載單元 (2353)‧‧‧Download unit

(2355)‧‧‧列印單元 (2355)‧‧‧Printing unit

第一圖:本發明之系統架構圖。 First Figure: System architecture diagram of the present invention.

第二圖:本發明之資料收集層架構示意圖。 Second figure: Schematic diagram of the data collection layer structure of the present invention.

第三圖:本發明之資料分析層架構示意圖。 Third figure: Schematic diagram of the data analysis layer structure of the present invention.

第四圖:本發明其一實施例之操作流程圖。 Fourth Figure: Flowchart of operation of an embodiment of the present invention.

第五圖:本發明之另一實施例使用示意圖。 Fifth Figure: A schematic view of another embodiment of the present invention.

第六圖:本發明之另一實施例之操作流程圖。 Figure 6 is a flow chart showing the operation of another embodiment of the present invention.

(1)‧‧‧使用者端 (1) ‧‧‧user end

(11)‧‧‧無線感測互動設備 (11)‧‧‧Wireless sensing interactive device

(111)‧‧‧設備連線模組 (111)‧‧‧Device Wiring Module

(113)‧‧‧量表輸入模組 (113)‧‧‧Scaling Input Module

(13)‧‧‧互動顯示模組 (13)‧‧‧Interactive display module

(15)‧‧‧身分辨識模組 (15) ‧‧‧ Identity Identification Module

(151)‧‧‧使用者識別碼 (151)‧‧‧User ID

(17)‧‧‧帳號權限控管單元 (17) ‧‧‧ Account Privilege Control Unit

(19)‧‧‧異常狀況通報模組 (19) ‧ ‧ Anomaly notification module

(2)‧‧‧系統端 (2) ‧‧‧System side

(21)‧‧‧使用者資料庫 (21)‧‧‧User database

(211)‧‧‧使用者帳號資料 (211)‧‧‧ User account information

(213)‧‧‧個人化資訊 (213)‧‧‧ Personalized information

(215)‧‧‧心智退化指標資料 (215) ‧ ‧ Mental Deterioration Indicators Information

(23)‧‧‧心智功能分析模組 (23) ‧ ‧ Mental Function Analysis Module

(231)‧‧‧正規化處理模組 (231) ‧ ‧ formal processing module

(233)‧‧‧層級分類模組 (233) ‧ ‧ hierarchical classification module

(235)‧‧‧輸出模組 (235)‧‧‧ Output Module

Claims (9)

一種具有心智功能指標分析之系統,係包含有:至少一使用者端,該使用者端包括一組無線感測互動設備、一互動顯示模組及一身分辨識模組,該身分辨識模組位於該互動顯示模組上,可進行使用者身分辨識,該無線感測互動設備具有一設備連線模組及一量表輸入模組,可提供使用者透過不同之操作方式操作,並由該互動顯示模組以聲音配合圖像的方式告知操作內容;及一系統端,該系統端連線該使用者端,其包括一使用者資料庫及一心智功能分析模組,該使用者資料庫儲存至少一使用者帳號資料及一個人化資訊,該個人化資訊至少包含使用者之性別、年齡、教育程度、額葉評估量表(frontal assessment battery,FAB)、簡易精神狀態檢測量表(Mini-Mental State Examination,MMSE)以及蒙特利爾認知評估(Montreal cognitive assessment,MoCA)等一心智退化指標資料,該心智功能分析模組係先由該身分辨識模組傳來之一使用者識別碼而連線至該使用者資料庫擷取該使用者識別碼所代表之該使用者帳號資料及該個人化資訊後,該心智功能分析模組可藉由該無線感測互動設備之操作來分析使用者心智功能狀況,其包含一正規化處理模組、一層級分類模組及一輸出模組,所有個人化的該心智退化指標資料會依據指標標準值在該正規化處理模組中 之一正規化運算單元換算,正規化到同一區間以進行該不同心智退化指標資料間的比較,正規化後的數據會被導入該層級分類模組之中作退化狀況的評估,可透過一分類演算法分類將使用者為失智、輕微失智與正常三種類別,並透過該輸出模組將結果輸出至該使用者端顯示。 A system for analyzing a mental function indicator includes: at least one user end, the user end includes a set of wireless sensing interaction devices, an interactive display module, and an identity recognition module, wherein the identity recognition module is located The interactive display module can perform user identification. The wireless sensing interactive device has a device connection module and a meter input module, which can provide a user to operate through different operation modes, and the interaction is performed by the user. The display module communicates the operation content with the sound and the image; and a system end, the system end is connected to the user end, and includes a user database and a mental function analysis module, and the user database is stored At least one user account information and one personalized information, the personalized information includes at least the user's gender, age, education level, frontal assessment battery (FAB), and simple mental state detection scale (Mini-Mental) State Examination, MMSE) and Montreal cognitive assessment (MoCA), such as mental deterioration indicators, the mental function points The module first transmits a user identification code from the identity recognition module and connects to the user database to retrieve the user account data and the personalized information represented by the user identification code. The mental function analysis module can analyze the mental function status of the user by using the operation of the wireless sensing interaction device, and includes a normalized processing module, a hierarchical classification module, and an output module, all of which are personalized. The degradation indicator data will be in the normalization processing module according to the indicator standard value. One of the normalized computing units is normalized to the same interval to compare the different mental degrading indicators, and the normalized data is imported into the hierarchical classification module for evaluation of the degradation status, which can be classified by a classification. The algorithm classifies the user into three categories: dementia, slight dementia and normal, and outputs the result to the user terminal through the output module. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該操作方式可為按壓操作、接觸操作或動態感測操作。 A system having a mental function indicator analysis as described in claim 1, wherein the operation mode may be a pressing operation, a contact operation, or a dynamic sensing operation. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該身分辨識模組可為RFID身份辨識裝置、指紋辨識裝置或臉部辨識裝置。 The system for analyzing a mental function indicator according to the first aspect of the patent application, wherein the identity recognition module can be an RFID identification device, a fingerprint identification device or a face recognition device. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該設備連線模組係結合互動遊戲內容並配合臨床的量測方式來測得心智功能指標,又該量表輸入模組係以問卷調表的形式來測得心智功能指標,根據題目配分量表會被轉換為分數,其中,該心智功能指標可為工作記憶、專注、定向或處理速度。 For example, the system for analyzing mental function indicators described in claim 1 of the patent scope, wherein the device connection module combines interactive game content with clinical measurement methods to measure mental function indicators, and the scale input module The group measures the mental function indicators in the form of questionnaires, and the scores are converted into scores according to the topic. The mental function indicators can be working memory, focus, orientation or processing speed. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該分類演算法可為傳統數學統計方法或以類神經網路來建置,又該層級分類模組具有一自動回饋單元,當每一筆新的資料輸入時,該自動回饋單元能對該指標標準值作動態修正,以逐步提升該分類演算法精準度, 並透過該正規化處理模組之該指標自動更新單元來更新該指標標準值。 For example, the system with mental function indicator analysis described in claim 1 of the patent scope, wherein the classification algorithm can be built by a traditional mathematical statistical method or a neural network, and the hierarchical classification module has an automatic feedback unit. When each new data is input, the automatic feedback unit can dynamically correct the standard value of the indicator to gradually improve the accuracy of the classification algorithm. The indicator standard value is updated by the indicator automatic update unit of the normalization processing module. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該輸出模組包含一圖表繪製單元、一下載單元及一列印單元,可將該分類演算法算出之結果編輯並以圖表的方式呈現給使用者,同時提供報表下載、郵寄及列印等輸出服務。 The system for analyzing a mental function indicator according to the first aspect of the patent application, wherein the output module comprises a chart drawing unit, a downloading unit and a printing unit, and the result calculated by the classification algorithm can be edited and graphed. The way to present to the user, while providing output services such as report download, mailing and printing. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該使用者端更包含一異常狀況通報模組,當該輸出模組將結果輸出至該使用者端時,該異常狀況通報模組可判斷結果是否異常來通報使用者及其家屬,並傳送至該互動顯示模組顯示。 The system for analyzing a mental function indicator according to the first aspect of the patent application, wherein the user end further comprises an abnormal condition notification module, and when the output module outputs the result to the user end, the abnormal condition The notification module can determine whether the result is abnormal to notify the user and his/her family, and transmit to the interactive display module display. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該使用者端更包含一帳號權限控管單元,使用者可透過該帳號權限控管單元來針對該使用者資料庫之帳號及權限作控管。 The system for analyzing a mental function indicator according to the first aspect of the patent application, wherein the user end further includes an account authority control unit, and the user can use the account authority control unit to target the user database. Account and permissions are controlled. 如申請專利範圍第1項所述之具有心智功能指標分析之系統,其中該無線感測互動設備可為智慧型手機、平板電腦或數位方塊。 The system for analyzing a mental function indicator according to claim 1, wherein the wireless sensing interaction device can be a smart phone, a tablet or a digital box.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106031640A (en) * 2015-03-19 2016-10-19 邓笑芳 Mental health protection platform
TWI605862B (en) * 2016-07-28 2017-11-21 南臺科技大學 Personalized game system for detecting cognitive function

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106031640A (en) * 2015-03-19 2016-10-19 邓笑芳 Mental health protection platform
TWI605862B (en) * 2016-07-28 2017-11-21 南臺科技大學 Personalized game system for detecting cognitive function

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