201247169 六、發明說明： 【發明所屬之技術領域】 级ίί明係關於一種心率變異性裝置及雲端健康管理系 種能—方面做心率㈣性裝置，另—方面也可以利 能模組，網連到醫院、抒壓機構與雲端，形成 式來降低心率變異性疾病的成本與獲得整體健康 【先前技術】 从士’已有所謂自律神經電腦裝置，其係使用非侵入式 律神經系統功能之檢查資料的分析方法及其 電«置，例如所謂的陰陽儀。其原理係纟Task F〇rce 〇f201247169 VI. Description of the invention: [Technical field of invention] Level ί ί 关于 一种 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心To hospitals, rolling agencies and the cloud, form a way to reduce the cost of heart rate variability diseases and obtain overall health [Prior Art] From the 'study' has a so-called autonomic computer device, which uses non-invasive renal function testing The method of analysis of the data and its electrical «set, for example, the so-called yin and yang. The principle is 纟Task F〇rce 〇f
European Society of Cardiology and the North American Society of Pacing and Elecirophysiology 及 Malliani 等人發現心率變異 性(Heart Rate Variability)除了受呼吸波動影響外，還反應 f神經之功能。所謂心率變異性係指心臟跳義速率即心 率）’除了靜態怪定維持在每分鐘60-90次外，盆满了 -些規則與不規刺波動。由於這些波動的幅度太小 J的分析方法餘進行精叙分析。朗近齡，訊號偵測盎 處理的技術已大幅進步，因此可藉由頻譜分析的協助，研究父 員發率變異性^微小的波動可區分為兩群，一般稱為高頻 變翼性，且還可進-步將低頻變異_分為低麟極低頻變） 異性。其中，高頻和人類的呼吸訊號同步，所以又稱為呼 ^ ’於人體約3秒-次。低_來源不明，學者推測可能= 管運動或感壓反射有關，於人體約10秒一次。而目 多生理學家與心臟科醫師同意心率高頻變異性(Ηρ)或織g 性(Totalpower,TP)能代表副交感神經功能，低頻變異性 能代表自主神經的整體活性，而低頻變異性和高頻異 值(LFVHF)能反應交感神經活性。 、 201247169 廡夕ϊΐϋί自主神經指標外’亦有研究發現心率變異性妒只 不久前於美國F贿ingham之調查發現，若會下降。 成u達，標準差’其面臨死亡的機會市常人之 被研發出來，細⑽心輕紐裝麵格 ===有效的利用，壓力病人無法利用遠距 二方面做心率變異性裝置’另-方面也可以利二5=1能 =組’網連到醫院、抒壓機構與雲端，形成新的商 降低心率變異性疾病的成本與獲得整體健康管理的 H 模式來 【發明内容】 本發明提供一種心率變異性裴置，其包括： 第—低通濾波器、電壓電流轉換器、比^電 j出位轉換器，用於將該心跳訊號轉以 一心率變異性中央處理器’安裝有一心率變異 -’用於將該自律神經輸出訊號處理運算後輸出—檢查資料^ 一感測元件，用於感測一壓力病人的心跳訊號； ΐίΐ理模組，其具有第一高通濾波器、第-放大器、 及 -無線電信與通減組，用於接收該檢查資料 、在電信與通訊模組將該檢查資料向一上網裝置傳送。…、 w依據本發明，較佳地該上網裝置是一基地台或是一個人 腦0 依據本發明，較佳賴無線通訊她是採用2 、 3.5G或4G的通訊標準。 本發明提供-種心律變異頻譜雲端健康管理系統， -個以上檢查資料輸人輸㈣置，驗輸人或輪出、一個以 201247169 上壓力病人之檢查資料； -個以上社喊置，其連接至錄查資 置’用於透過該上網裝置將該檢查資料傳送出去至.剧、 一個以上的雲端伺服器，其連接至亨卜 农’ 一抒壓機構伺服器’其連接至該雲端伺服器，一貝^ ，當該檢查資料之壓力指數超過一預定 号 料輸入輸$裝置上呈現浦機_超連結，叫上 之網站，以#於钱厭士，由/ ^α 打歷:機構 該檢查資料，以驗檢查資機人輸出裝置來存&檢用於$ 一杯厭 Μ 接右1 BE 3& . ·«、* 从 _W 貝科， 之網站，以便於該壓力病人進行抒壓 電腦或 依據本發明，較佳地該檢查資料輸人輸出裝一 是一上述的心率變異性裝置。 依據本發日月，較佳地該抒壓機構為抒壓音樂 構、^坐機構、心靈旅遊機構、溫表 =機機 S食;^程機構、韻律呼吸機構、八段錦氣功機構ίΐ 【實施方式】 ，參閱第i圖’其繪出本發明一較佳實施例的一種 ^ =置矛施例中，該心率變異性裝置U可以用手 這些心率121來得知鄉㈣性參數, 料庫的内读:i二數做计异、比較與分析，於記憶體123中1 找相對叙分析資料，當測試完成後，透避 在本實ϋ丨ΐ訊模組122連接至網際網路，連接至雲端c 201247169 „4得到多數個心率變異性參數。其中 11可以是包括第-高通濾波器、第-放大器、第ϋίί ί :二器車:較電路、第二高通濾波器、光隔離器’、 =/數位轉姑，連接至鱗通賴_天線，但均不以此 該無線通訊模組13〇可為連接至手機基地台的各種25ΓThe European Society of Cardiology and the North American Society of Pacing and Elecirophysiology and Malliani et al. found that heart rate variability in addition to the effects of respiratory fluctuations also reflects the function of the f nerve. The so-called heart rate variability refers to the rate of heart skipping (the heart rate). In addition to the static blame that is maintained at 60-90 times per minute, the basin is full - some rules and irregular thorns. Since the magnitude of these fluctuations is too small, the analytical methods of J are analyzed in detail. Long's age, the technology of signal detection and angling has been greatly improved, so the variability of parental rate can be studied by the help of spectrum analysis. The small fluctuations can be divided into two groups, generally called high frequency winging. And it can also step into the low-frequency variation _ into low-polar low-frequency changes). Among them, the high frequency and the human respiratory signal are synchronized, so it is also called the caller 'about 3 seconds in the human body. Low _ source is unknown, the scholar speculates that it may be related to tube movement or pressure-sensitive reflex, about 10 seconds in the human body. However, many physiologists and cardiologists agree that high-frequency variability (Ηρ) or total power (TP) can represent parasympathetic function, low-frequency variability represents the overall activity of autonomic nerves, and low-frequency variability and high The frequency difference value (LFVHF) can reflect sympathetic nerve activity. , 201247169 庑 ϊΐϋ ϊΐϋ 自主 自主 自主 自主 自主 自主 ’ ’ ’ 自主 自主 自主 自主 ’ ’ ’ ’ ’ 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心 心Cheng Uda, standard deviation 'the opportunity to face the death of the city is often developed, fine (10) heart light new face === effective use, pressure patients can not use the remote two sides to do heart rate variability device 'another - Aspects can also be used to provide a new quotient to reduce the cost of heart rate variability diseases and to obtain an overall health management H mode. [Invention] A heart rate variability device includes: a first-low-pass filter, a voltage-current converter, and a comparator, for converting the heartbeat signal to a heart rate variability central processor Variation - 'used to output the autonomic nerve output signal after processing - check data ^ a sensing component for sensing the heartbeat signal of a pressure patient; ΐίΐ理 module, which has a first high-pass filter, - The amplifier and the wireless telecommunication and reduction group are configured to receive the inspection data and transmit the inspection data to an internet device in the telecommunication and communication module. According to the present invention, preferably, the internet device is a base station or a human brain. According to the present invention, it is preferred that the wireless communication is a communication standard of 2, 3.5G or 4G. The invention provides a heart rhythm variation spectrum cloud health management system, - more than one inspection data input and output (four), an inspector or a rotation, and an examination data of a pressure patient on 201247169; - more than one social agency, the connection To the recording resource 'for transmitting the inspection data to the drama, more than one cloud server through the internet device, which is connected to the Heinbong 'a pressure mechanism server' connected to the cloud server , a shell ^, when the pressure index of the inspection data exceeds a predetermined number of materials input into the device on the device to display the Pu machine _ hyperlink, called the website, to #于钱厌士, by / ^α 打:机构Check the data to check the exporter's output device to store & check for $ a cup of sputum. Right 1 BE 3& .«, * From _W Becco, the website, in order to facilitate the pressure of the patient Preferably, the computer or according to the present invention, the test data input device is a heart rate variability device. According to the present day and the month, preferably, the rolling mechanism is a rolling music structure, a sitting mechanism, a soul traveling institution, a thermometer=machine machine S food; a process mechanism, a rhythm breathing mechanism, and an eight-segment qigong work mechanism ΐ [ Embodiments, refer to the figure i, which depicts a preferred embodiment of the present invention, in which the heart rate variability device U can use the heart rate 121 to know the township (four) parameter, the library The internal reading: i counts the difference, compares and analyzes, finds the relative analysis data in the memory 123, and after the test is completed, evades the connection to the Internet in the real communication module 122. Connect to the cloud c 201247169 „4 to get a lot of heart rate variability parameters. Among them, 11 can include the first high-pass filter, the first amplifier, the first 、 ίί ί : two cars: the comparator circuit, the second high-pass filter, the optical isolator ', = / digital turn aunt, connected to the scales _ _ antenna, but not the wireless communication module 13 〇 can be connected to the mobile phone base station of various 25 Γ
2.75G(GPRS), 3G(WCDMA, CDMA2000, TD-CDMA) 3 5G 模組卿過基地台(未繪 i 11有線連接 率變異性裝置u在得私、率變異性 . tbl,. , ^ 之貝料庫的内建表尋找相對應之分析資料。同時手 持的心率麵性裝置η上_示器可⑽和辞變異性= 之檢查k料，當然透過電腦連線亦可列印此檢查資料。 在=明之較佳實施例中，該心率變異性^ ，位訊號處理(DSP)能力之電腦，並可作頻域 二 與非線性分析。 ㈣调刀析 在本實施例中，請參閱第2圖，其綠示依照本發明一較 ^施例的-種自律神經之分析方法步驟流程圖。此自律神經之 法’細非侵人式對—壓力病人之自律神經作診斷。而 施例巾’其侧如是罐力病人進行數分鐘之心跳訊號 …在本實施例中，此分析方法首先為輸入壓力病人之基本資 料，並開始量測壓力病人之心跳訊號(s2〇2)。其中，壓力病人 之基本資料包括病人編號、姓名、年齡、性別;'該壓力病人 站偏好等，但不以此為限。 · 接著，對所接收到之對心訊號作轉換，以獲得多數個心 ^變異性參數_4)。其中，撕之步驟包括使用快速傅立葉 轉換(Fast Fourier Transform)將此心跳訊號由時域轉換為頻率 6 201247169 可^到包括波峰㈣間距(s208)、低頻(LF) 、玄^上避丨所所接收到之對心跳訊號作轉換，以獲得多數個 步驟s2G4包括首先對此心跳訊號作數位轉換， 並偵測數位心跳訊號之多數個波峰(s302)。 、 夕缸fi，對此心跳訊號作數位轉換，並偵測數位心跳訊號之 夕數個波峰係利用心率變異性裝置比^ 偵測數位心跳訊號中的每一波岭(s306)。 、 ώϊ 本實施例中’在债測完波學後’則董十每-波峰進行統計 i些，心率變紐裝_著計算與得到 波峰間距(丄f其中 作(si4) 之H峰._統計與確認之動 、丄最後’心率變異性展置即對這些波峰間 這些心率變異性參數之頻率墙 ^异，並侍到 作計算係騎料波峰間七)° '、中’對這些波峰間距 到這些心侧性狀計算_)，以得 請接著繼續參照第2圖，.二 變異性參數後，即在步驟104在=施例=在得到這些心率 些心率變異性參數i 自/f數運算，並得到這 對低頻變異性參數、高頻步驟s216中，其係為 自然對數_)(_)、）員變異性參數之 HHF)，)與低頻/高頻3 Ξ J Ϊ參數之自然對數 门須變異性參數比值之自然對數 7 201247169 ln(LF/HF)(S224)。 算後杉油參考值對運 多數個標準差㈣。其+，以:率變取::裝 之多數個參考值對運算後之這些、^置 裝置巾之㈣相的參』==距 i間作计异與最佳化(s228)然後輸出所得到之波 S /·太 i &、n(HF)與 ln(LF/HF)各自的標準差(s230)。 watt實例中，在得到波峰間距、ln(LF)、_F)盥 些標準差目基本資料與這 ς 〜率祕性|置為分別以波峰間距之標準差 建^中之多數個内建值作比較’以得到波峰間距之功制大態 Λln(LF)之標準差與内建表中之多數個内建值作比 父二仟到ln(LF)之功能狀態(s4〇6)，以ln(LF/HF)之標準差盥 ^之多數個内建值作比較，以得轉歷)之侧史 f(S4〇8);❹研)之標準差與内建表中之多數個内建值作比 之功能狀態(S41〇)。接著，分別輸出波峰間 距之功能狀態(s412)、ln(LF)之功能狀態(s414)、皡腦^之功 =態_)與ln(HF)之功能狀態_)。最後，根據這些功能 狀L之組合_絲巾尋她職之讀㈣(s42G)。然後， 返回 s232〇422)。 其中’各功能狀態例如是均包括3種狀態L(低)、N(中等） 巧=種=率變異性參數之功能狀態的組合將會 "月參照第2圖，在本實施例中，最後將輸出整合心率變異 性參數、分析資料、基本資料與這些標準差之檢查資料(S234)。 8 201247169 在本發明之較佳實施例中，自律神經之分析方法為量測麗 力病人手掌電波之R波，藉由制元件所感_微弱訊號， 進入訊號放大器，織，將QRS複合波從眾多雜訊中過滤出 來、’並予以放大，之後，再由類比/數位轉換器將類比訊號轉 換為數位訊號。 當檢查資料顯示壓力病人的壓力狀態如第5圖中之一狀 態圖所示，壓力狀態有極好(veiy g〇〇d)、好(g〇〇d)、正常 (normal)、微劣(slightly bad)、劣(㈣、極劣(vejy _六種。 ^請參閱第6圖，顯示本發明的心律變異性裝置及雲端健康 管理系統，當一位壓力病人甲手捧一心率變異性裝置量測 自律神經馳查資料’朗日期、心率變異性參數、分析資料、 基本資料與這些標準差之檢查資料形成病狀資料封包（例如 2.75G通訊標準），透過基地台612將該封包傳送至雲端的飼 服器611，612,613,614儲存此-壓力病人的病狀資料，同時心 率變異性裝置11的顯示器會透過抒壓機構63的搜尋引擎631 在右邊呈現該壓力病人的偏好抒壓機構的超連接(hyperlink 此時抒壓機構是音樂網站(例如KK30X) 71，連上音樂網站 聽音樂來減健力。之後’另—健力病人乙手捧一心率 變異性裝置11量測自律神經的檢查資料，連同日期、心率變 異性參數、分析資料、基本資料與這些標準差之檢查資料形成 病狀資=封包（例如2.75G通訊標準），透過基地台612將該 封包傳送至雲端的伺服n 611，612,613,614儲存此—壓力病人 乙的病狀資料，同時辞變異性裝置u麵示器會依壓力的 程度最劣時發生多少日需馬上詢求醫生，微劣以下時會透過抒 ，機構63的搜尋引擎631在右邊呈現該壓力病人乙的偏好抒 壓機構的超連接(hyperlink)，此時抒壓機構是SpA，連上spA 的網站後，用病人編號去預訂做SPA的時間卻做抒壓的SpA， 過幾天’故本發明愤變異性裝置及雲端健康管理祕能透過 雲端儲存許多壓力病人的病人病歷資料庫，方便醫院64的心 理科醫師或豕醫科醫生查詢某一壓力病人的壓力病歷資料，以 201247169 做遠距醫療之用。同時若兒子是壓力病人，獲得父母 碼與帳號，就可以用看”變異性裝置上父母_“ 、抒壓機構可為㈣音樂機構、瑜珈機構、襌坐機構、心* 旅，機構、溫泉泡湯機構、遊戲倾機構、太極拳機構、正二 ^考學習機構、精崎壓機構、抒壓按摩 構、=呼吸機構、八段錦氣功機構、或抒丄②課等城 抒壓機構係與本發明人與電訊廠商(例如，中華電“信、a ，大哥大、遠傳電訊)做本發明雲端商業模式的合作， 括金流與訊息流，例如收費採用會㈣，加人會員，可ς ^變雜裝置η量測的病狀資料顯現在顯示器7〇上，例 如，同時透過電訊廠商總合向壓力病人收費。 訊流包含有最新抒壓的新聞721，心理治療的資訊、世 -網料，這魏息_㈣都儲存在 【圖式簡單說明】 ^。1圖是本發明一較佳實施例的心率變異性裝置的電路方塊 f 2圖是本發明一較佳實施例的一種自律神經之分析方法步 驟流程圖。 ^ 3圖是本發明一較佳實施例的一種將心跳 換成頻域之步!^糊。 扣零 f 4圖是本發明一較佳實施例的一種至内建表中尋找相對應 之矢析資料之步驟流程圖。 ^ 5圖是本發明心率變異性裝置的顯示器上呈現六種壓力 態的示意圖。 =6圖是本發明一種心律變異雲端健康管理系統的方塊示意 圆〇 第7圖是本發明心率變異性裝置的前視示意圖。 201247169 【主要元件符號說明】 11 心率變異性裝置 110感測元件 121中央處理器 122電信與通訊模組 123記憶體 130無線通訊模組 6 雲端 611,612,613,614 雲端伺服器 621基地台 622個人電腦 63 抒壓機構伺服器 64 醫院或家醫或心理醫生 112.75G (GPRS), 3G (WCDMA, CDMA2000, TD-CDMA) 3 5G module clear base station (not painted i 11 wired connection rate variability device u in private, rate variability. tbl,., ^ The built-in table of the shell library looks for the corresponding analysis data. At the same time, the hand-held face rate device η can be used to check the information. (10) and the variability = check the material. Of course, the inspection data can also be printed through the computer connection. In the preferred embodiment of the invention, the heart rate variability ^, the bit signal processing (DSP) capability of the computer, and can be used for frequency domain two and nonlinear analysis. (4) adjustment knife in this embodiment, please refer to 2 is a flow chart showing the steps of an autonomous nerve analysis method according to a comparative example of the present invention. The method of the autonomic nerve is a non-invasive method for the diagnosis of the autonomic nerve of a pressure patient. In the present embodiment, the analysis method firstly inputs the basic data of the pressure patient and starts measuring the heartbeat signal of the pressure patient (s2〇2). Basic information on stress patients includes patient number, name, age, and gender; 'The pressure patient station preference, etc., but not limited to this. · Next, the received heart signal is converted to obtain a majority of the heart variability parameter _4). The tearing step includes using the Fast Fourier Transform to convert the heartbeat signal from the time domain to the frequency 6 201247169 to include the peak (four) spacing (s208), the low frequency (LF), and the Xuan ^ 丨 丨The received heartbeat signal is converted to obtain a plurality of steps s2G4, including first performing digital conversion on the heartbeat signal, and detecting a plurality of peaks of the digital heartbeat signal (s302). The eve cylinder fi, digitally converts the heartbeat signal, and detects the number of peaks of the digital heartbeat signal by using the heart rate variability device ratio to detect each of the digital heartbeat signals (s306). Ώϊ In this example, 'after the completion of the wave of the debts', Dong Shi every-peak is counted, and the heart rate is changed. The calculation and the peak spacing (丄f which is the peak of the si4). Statistics and confirmation movements, 丄 final 'heart rate variability spread is the frequency wall of these heart rate variability parameters between these peaks, and wait for the calculation system to ride between the peaks of the peak seven) ° ', middle 'to these peaks The distance to these heart-side traits is calculated _), so please continue to refer to Figure 2, after the two variability parameters, that is, at step 104 in = example = in the heart rate, the heart rate variability parameter i / f number Calculate and obtain the pair of low frequency variability parameters, high frequency step s216, which is the natural logarithm _) (_), the member variability parameter HHF), and the low frequency / high frequency 3 Ξ J Ϊ parameters of the nature The natural logarithm of the logarithmic variability parameter ratio 7 201247169 ln(LF/HF)(S224). After the calculation, the reference value of the Chinese fir oil is shipped to the majority of the standard deviation (four). The +, by: rate change:: the majority of the reference value is installed after the operation, the parameter of the (four) phase of the device wiper == the distance between i and the optimization (s228) and then the output The standard deviation (s230) of each of the obtained wave S / · too i &, n (HF) and ln (LF / HF). In the watt example, after obtaining the peak spacing, ln(LF), _F), the basic data of these standard deviations and the 秘 率 rate secret | are set to the majority of the built-in values of the standard deviation of the peak spacing respectively. Compare 'the standard deviation of the power system Λln(LF) with the peak spacing and the majority of the built-in values in the built-in table as the functional state (s4〇6) of the parent 仟(LF) to ln The standard deviation of (LF/HF) is compared with the majority of the built-in values, so that the standard deviation of the history (f4〇8); the standard deviation of the ❹ research) and the built-in table are mostly built-in. The value is compared to the functional status (S41〇). Next, the functional state (s412) of the peak interval, the functional state of ln(LF) (s414), the function of the brain = state _), and the functional state of ln (HF) are respectively output. Finally, according to the combination of these functional forms L - silk scarves to find her job (four) (s42G). Then, return to s232〇422). Wherein, each functional state is, for example, a combination of functional states including three states L (low) and N (medium) = species = rate variability parameter will be "month reference to Fig. 2, in this embodiment, Finally, the output of the heart rate variability parameter, the analysis data, the basic data and the test data of these standard deviations are integrated (S234). 8 201247169 In a preferred embodiment of the present invention, the analysis method of the autonomic nerve is to measure the R wave of the palm wave of the patient of Lili, and enter the signal amplifier, weave, and the QRS complex wave from the plurality of elements by the weak signal of the component. The noise is filtered out, 'and amplified, and then the analog signal is converted to a digital signal by an analog/digital converter. When the examination data shows that the pressure state of the pressure patient is as shown in one of the state diagrams in Fig. 5, the pressure state is excellent (veiy g〇〇d), good (g〇〇d), normal (normal), poor ( Slightly bad), inferior ((four), very poor (vejy _ six kinds. ^ Please refer to Figure 6, showing the heart rate variability device and cloud health management system of the present invention, when a stress patient holds a heart rate variability device Measuring the autonomic neural network data 'lang date, heart rate variability parameter, analysis data, basic data and these standard deviation test data to form a pathological data packet (for example, 2.75G communication standard), and transmitting the packet to the base station 612 through the base station 612 The cloud feeding device 611, 612, 613, 614 stores the condition data of the patient, and the display of the heart rate variability device 11 presents the super-connection of the pressure patient's preferred rolling mechanism to the right through the search engine 631 of the rolling mechanism 63. (hyperlink At this point, the rolling mechanism is a music website (such as KK30X) 71, connected to the music website to listen to music to reduce the strength. After that, 'other-jianli patient holds a heart rate variability device 11 to measure the autonomic nerve Check the data, together with the date, heart rate variability parameter, analysis data, basic data and the test data of these standard deviations to form a disease condition = packet (for example, 2.75G communication standard), and transmit the packet to the cloud servo through the base station 612. 611, 612, 613, 614 stores the condition data of this pressure patient B, and the variability device u face display device will ask the doctor immediately according to the degree of pressure when the degree of stress is the worst. The search engine 631 presents the hyperlink of the pressure patient B's preferred compression mechanism on the right. At this time, the pressure-receiving mechanism is SpA. After connecting to the spA website, the patient number is used to book the time for doing the SPA. Pressed SpA, after a few days', the invention's anger-variant device and cloud health management secret can store the patient's medical record database of many stress patients through the cloud, facilitating the hospital's 64 psychologists or sputum doctors to query a certain pressure patient. Pressure medical record data, used for long-distance medical treatment with 201247169. If the son is a stress patient, get the parent code and account number, you can use it to see "variation The parents on the device _", the rolling mechanism can be (4) music institutions, yoga institutions, squatting institutions, heart * brigades, institutions, hot spring bathing institutions, game dumping institutions, Tai Chi Chuan institutions, Zheng 2 test institutions, fine pressure agencies , rolling massage structure, = breathing mechanism, eight Duan Jinqigong institutions, or 抒丄 2 classes and other city pressure agencies and the inventors and telecommunications manufacturers (for example, China Telecom "letter, a, big brother, remote telecommunications The cooperation of the cloud business model of the present invention, including the flow of gold and the flow of information, for example, the fee adoption meeting (4), the addition member, the condition data measured by the variable device η is displayed on the display 7,, for example, at the same time Charge the pressure patient through the general manager of the telecommunications company. The news stream contains the latest news 721, psychological treatment information, world-network materials, and this Wei _ _ (four) are stored in the [simplified description] ^. 1 is a circuit block diagram of a heart rate variability device according to a preferred embodiment of the present invention. FIG. 2 is a flow chart of a method for analyzing an autonomic nerve according to a preferred embodiment of the present invention. The figure 3 is a step of replacing the heartbeat into the frequency domain in accordance with a preferred embodiment of the present invention. The deduction of the f 4 diagram is a flow chart of the steps of finding a corresponding analysis data in the built-in table according to a preferred embodiment of the present invention. Fig. 5 is a schematic diagram showing six pressure states on the display of the heart rate variability device of the present invention. Fig. 6 is a block diagram of a heart rate variability cloud health management system of the present invention. Fig. 7 is a front view of the heart rate variability device of the present invention. 201247169 [Description of main component symbols] 11 Heart rate variability device 110 Sensing component 121 Central processor 122 Telecommunications and communication module 123 Memory 130 Wireless communication module 6 Cloud 611, 612, 613, 614 Cloud server 621 Base station 622 Personal computer 63 Rolling mechanism Server 64 hospital or home doctor or psychiatrist 11