TWI612476B - Physiological prediction system - Google Patents
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Abstract
本發明係揭露一種生理預測系統，其包含感測裝置及手持通訊裝置。感測裝置感測待測者，且產生個人身體資訊。手持通訊裝置具有資訊過濾單元及分析單元，該手持通訊裝置係藉由無線傳輸接收該個人身體資訊，且該資訊過濾單元過濾該個人身體資訊中之不可靠資訊，而該分析單元係依據過濾後之該個人身體資訊預測一生理週期。 The present invention discloses a physiological prediction system including a sensing device and a handheld communication device. The sensing device senses the subject and generates personal body information. The handheld communication device has an information filtering unit and an analyzing unit. The handheld communication device receives the personal body information by wireless transmission, and the information filtering unit filters unreliable information in the personal body information, and the analyzing unit is filtered according to the The personal body information predicts a physiological cycle.
Description
本發明是有關於一種預測系統，特別是有關於一種可排除影響生理週期預測之因素，以達到較準確地預測之生理預測系統。 The present invention relates to a prediction system, and more particularly to a physiological prediction system that can eliminate factors affecting physiological cycle prediction to achieve more accurate prediction.
預測生理週期對於女性來講是很重要的一件事，不管是對於受孕、避孕或月事來臨前之準備，皆需要一份準確預測的生理週期。 Predicting the physiological cycle is a very important thing for women. Whether it is for pregnancy, contraception or preparation before the onset of the month, an accurate predicted physiological cycle is needed.
而，一般來說，常見的預測方式為日曆法，日曆法是利用女性月經週期的規律性來計算月經來潮日期；而，若要利用這種方式預測，則必需要有正常且規律的月經週期，並且每個月勤加記錄，方能利用此方法來計算預測；然，這種方法缺點在於，其運算方式過於簡單，考量到女性生理週期的不穩定性，該方法所預測之生理週期準確性太低。 However, in general, the common prediction method is the calendar method. The calendar method uses the regularity of the female menstrual cycle to calculate the date of menstruation. However, if you want to use this method to predict, you must have a normal and regular menstrual cycle. And every month to record, you can use this method to calculate the prediction; however, the disadvantage of this method is that its operation method is too simple, considering the instability of the female physiological cycle, the physiological cycle predicted by the method is accurate. Sex is too low.
而，另一種方法則為基礎體溫法，其係利用女性在***之後體溫會升高的現象來推測何時是***日；然，此種方法雖比日曆法準確，但考量到無法排除其它會造成體溫不正常的因素的 前提下，將導致該方法所預測之生理週期之準確性仍有待商榷。 The other method is the basal body temperature method, which uses the phenomenon that the body temperature will rise after ovulation to estimate when the ovulation day is; however, although this method is more accurate than the calendar method, it cannot be ruled out that other causes will be caused. Abnormal body temperature The accuracy of the physiological cycle predicted by this method is still open to question.
有鑒於上述習知技藝之問題，本發明之目的就是在提供一種生理預測系統，以解決習知所待改善之問題。 In view of the above-mentioned problems of the prior art, it is an object of the present invention to provide a physiological prediction system to solve the problems to be solved.
根據本發明之目的，提出一種生理預測系統，其包含感測裝置及手持通訊裝置。感測裝置感測待測者，且產生個人身體資訊。手持通訊裝置具有資訊過濾單元及分析單元，手持通訊裝置藉由無線傳輸接收個人身體資訊，且資訊過濾單元過濾個人身體資訊中之不可靠資訊，而分析單元依據過濾後之個人身體資訊預測生理週期。 In accordance with the purpose of the present invention, a physiological prediction system is provided that includes a sensing device and a handheld communication device. The sensing device senses the subject and generates personal body information. The handheld communication device has an information filtering unit and an analyzing unit. The handheld communication device receives personal body information by wireless transmission, and the information filtering unit filters unreliable information in the personal body information, and the analyzing unit predicts the physiological cycle according to the filtered personal body information. .
較佳地，分析單元可依據待測者之各月份之實際生理週期校正所預測之生理週期。 Preferably, the analyzing unit can correct the predicted physiological period according to the actual physiological period of each month of the test subject.
較佳地，感測裝置可包含體溫計，其感測待測者之體溫。 Preferably, the sensing device can include a thermometer that senses the body temperature of the subject.
較佳地，感測裝置可包含輔助感測器，其感測待測者之心跳、脈搏或其組合。 Preferably, the sensing device can include an auxiliary sensor that senses the heartbeat, pulse, or a combination thereof of the subject.
較佳地，資訊過濾單元可依據待測者所選之至少一生理選項或依據待測者之心跳、脈搏或其組合過濾個人身體資訊。 Preferably, the information filtering unit may filter the personal body information according to at least one physiological option selected by the test subject or according to the heartbeat, pulse or a combination thereof of the test subject.
較佳地，感測裝置可包含行為感測器，其感測待測者之行為動作。 Preferably, the sensing device can include a behavior sensor that senses the behavior of the subject.
較佳地，資訊過濾單元可依據待測者所擇之至少一生理選項或依據待測者之行為動作過濾個人身體資訊。 Preferably, the information filtering unit may filter the personal body information according to at least one physiological option selected by the test subject or according to the behavior of the test subject.
較佳地，行為感測器可為加速度感測器。 Preferably, the behavior sensor can be an acceleration sensor.
較佳地，生理預測系統更可包含警示模組，其於待測者之體溫異常時，產生警示訊號。 Preferably, the physiological prediction system further comprises a warning module, which generates a warning signal when the body temperature of the person to be tested is abnormal.
較佳地，生理預測系統更可包含提醒模組，其提醒待測者藉由感測裝置感測至少一個人身體資訊。 Preferably, the physiological prediction system further includes a reminder module that reminds the test subject to sense at least one physical body information by the sensing device.
1‧‧‧生理預測系統 1‧‧‧Physiological prediction system
11‧‧‧感測裝置 11‧‧‧Sensing device
111‧‧‧體溫計 111‧‧‧ thermometer
112‧‧‧輔助感測器 112‧‧‧Auxiliary sensor
113‧‧‧行為感測器 113‧‧‧ Behavioral Sensor
12‧‧‧手持通訊裝置 12‧‧‧Handheld communication device
121‧‧‧資訊過濾單元 121‧‧‧Information Filtering Unit
122‧‧‧分析單元 122‧‧‧Analysis unit
13‧‧‧提醒模組 13‧‧‧Reminder module
14‧‧‧警示模組 14‧‧‧Warning module
S51至S55‧‧‧步驟 S51 to S55‧‧‧ steps
第1圖係為本發明之生理預測系統之第一方塊圖。 Figure 1 is a first block diagram of the physiological prediction system of the present invention.
第2圖係為本發明之生理預測系統之第二方塊圖。 Figure 2 is a second block diagram of the physiological prediction system of the present invention.
第3圖係為本發明之生理預測系統之第三方塊圖。 Figure 3 is a third-party block diagram of the physiological prediction system of the present invention.
第4圖係為本發明之生理預測系統之第四方塊圖。 Figure 4 is a fourth block diagram of the physiological prediction system of the present invention.
第5圖係為本發明之生理預測系統之預測流程圖。 Figure 5 is a prediction flow chart of the physiological prediction system of the present invention.
第6圖係為本發明之生理預測系統之第一初始資料示意圖。 Figure 6 is a schematic diagram of the first initial data of the physiological prediction system of the present invention.
第7圖係為本發明之生理預測系統之第二初始資料示意圖。 Figure 7 is a schematic diagram of the second initial data of the physiological prediction system of the present invention.
為利 貴審查員瞭解本發明之技術特徵、內容與優點及其所能達成之功效，茲將本發明配合圖式，並以實施例之表達形式詳細說明如下，而其中所使用之圖式，其主旨僅為示意及輔助說明書之用，未必為本發明實施後之真實比例與精準配置，故不應就所附之圖式的比例與配置關係解讀、侷限本發明於實際實施上的權利範圍，合先敘明。 The technical features, contents, and advantages of the present invention and the efficacies thereof can be understood by the present inventors. The present invention will be described in conjunction with the drawings and will be described in detail with reference to the embodiments. The subject matter is only for the purpose of illustration and description. It is not intended to be a true proportion and precise configuration after the implementation of the present invention. Therefore, the scope and configuration relationship of the attached drawings should not be interpreted or limited. First described.
請參閱第1圖，其係為本發明之生理預測系統之第一方塊圖。如圖所示，本發明之生理預測系統1包含感測裝置11及手持通訊裝置12。 Please refer to FIG. 1 , which is a first block diagram of the physiological prediction system of the present invention. As shown, the physiological prediction system 1 of the present invention includes a sensing device 11 and a handheld communication device 12.
續言之，本發明之感測裝置11感測待測者，且產生個人身體資訊。手持通訊裝置12具有資訊過濾單元121及分析單元122，手持通訊裝置12藉由無線傳輸接收個人身體資訊，且資訊過濾單元121過濾個人身體資訊中之不可靠資訊，而分析單元122依據過濾後之個人身體資訊預測生理週期。 In other words, the sensing device 11 of the present invention senses the subject and generates personal body information. The handheld communication device 12 has an information filtering unit 121 and an analyzing unit 122. The handheld communication device 12 receives personal body information by wireless transmission, and the information filtering unit 121 filters unreliable information in the personal body information, and the analyzing unit 122 filters the Personal body information predicts the physiological cycle.
承上述，本發明之生理預測系統1可藉由資訊過濾單元121過濾掉一些會造成體溫或其他個人生理資訊異常的因素，以取得最佳的生理週期預測。 In the above, the physiological prediction system 1 of the present invention can filter out some factors that cause abnormalities in body temperature or other personal physiological information by the information filtering unit 121 to obtain an optimal physiological cycle prediction.
值得一提的是，本發明之生理預測系統1具有校正功能，其藉由待測者按月輸入各月份的生理週期時間，以使分析單元122據以取得對應月份所預測之生理週期之預測誤差，並進一步以此作為下一次預測之校正依據。 It is worth mentioning that the physiological prediction system 1 of the present invention has a correction function, which inputs the physiological cycle time of each month by the test subject, so that the analysis unit 122 obtains the prediction of the physiological cycle predicted by the corresponding month. The error is further used as a basis for the correction of the next prediction.
請參閱第2圖，其係為本發明之生理預測系統之第二方塊圖。如圖所示，本發明之生理預測系統1之感測裝置11包含體溫計111，藉以感測待測者之體溫，而待測者之體溫係為本發明分析之主要參考資訊。 Please refer to FIG. 2, which is a second block diagram of the physiological prediction system of the present invention. As shown in the figure, the sensing device 11 of the physiological prediction system 1 of the present invention includes a thermometer 111 to sense the body temperature of the subject, and the body temperature of the subject is the main reference information for the analysis of the present invention.
而，另一方面，感測裝置11可包含輔助感測器112，輔助感測器112可感測待測者之心跳、脈搏或其組合；然，此僅為示例，並非僅感測心跳或脈搏。 On the other hand, the sensing device 11 can include an auxiliary sensor 112, which can sense the heartbeat, pulse, or a combination thereof of the subject; however, this is merely an example, not just sensing the heartbeat or pulse.
大家都知道，日常生活作息或行為動作會影響各種生體狀態，以體溫為例，下述狀態將會影響體溫的可靠度： Everyone knows that daily routines or behaviors affect various living conditions. Taking body temperature as an example, the following conditions will affect the reliability of body temperature:
1.生活作息不正常，前一天晚上的睡眠時間減少，過度勞累；而該狀態可能導致卵巢功能異常。 1. Life is not normal, the sleep time of the previous night is reduced, overworked; and this state may lead to abnormal ovarian function.
2.吸煙飲酒；有該習慣之女性中有25%至32%的人患月經不調；而長期吸煙飲酒的女性，月經不調的發生率是不吸煙、不飲酒女性的3倍以上。 2. Smoking and drinking; 25% to 32% of women with this habit have irregular menstruation; while women who smoke long-term drinking, the incidence of irregular menstruation is more than three times that of non-smokers and non-drinking women.
3.服用藥物；例如服用緊急避孕藥，其會導致女性月經紊亂；更甚者，月經失調期間若服用其他藥物，如抗生素，則可能因抑制人體自身抵抗力，而導致機體功能失常，且加劇月經失調、不***、閉經等症狀。 3. Taking drugs; for example, taking emergency contraceptives, which can cause menstrual disorders in women; even worse, taking other drugs, such as antibiotics, during menstrual disorders may cause the body to malfunction due to inhibition of the body's own resistance. Menstrual disorders, no ovulation, amenorrhea and other symptoms.
4.營養供給不足；營養缺乏會影響月經週期。 4. Insufficient supply of nutrients; lack of nutrition can affect the menstrual cycle.
5.情緒問題；若長期處於失望、低落的情緒，其會影響到女性中樞神經之操控，恐導致生理週期出現紊亂現象。 5. Emotional problems; if you are in a state of disappointment and low mood for a long time, it will affect the manipulation of the female central nervous system, which may lead to disorder in the physiological cycle.
6.身體內部其他因素；若身體存在其他疾病，如婦科炎症、腫瘤或內分泌異常等，將可能導致月經推遲，繼而影響後續月經週期。 6. Other factors inside the body; if the body has other diseases, such as gynecological inflammation, tumor or endocrine abnormalities, it may lead to delayed menstruation, which in turn affects the subsequent menstrual cycle.
7.環境溫度變化：氣溫急劇變化及室內外之極度溫差亦會影響溫度量測之準確性。 7. Changes in ambient temperature: sudden changes in temperature and extreme temperature differences between indoor and outdoor also affect the accuracy of temperature measurement.
承上述情況，本發明之生理預測系統1之感測裝置11更輔以搭配行為感測器113，其用以感測待測者之行為動作，而待測者接受感測時之當下行為動作可作為資訊過濾單元121進行過濾資訊時的參考資訊。其中，行為感測器113可為加速度感測器(G sensor)。 In the above case, the sensing device 11 of the physiological prediction system 1 of the present invention is further supplemented by the matching behavior sensor 113 for sensing the behavior of the test subject, and the current behavior of the test subject when receiving the sensing It can be used as the reference information when the information filtering unit 121 filters information. The behavior sensor 113 can be an acceleration sensor (G sensor).
因此，資訊過濾單元121可依據待測者所擇之至少一生理選項或依據待測者之心跳、脈搏或待測者之行為動作過濾個人身體資訊。換言之，資訊過濾單元121將依據上述因素給予個人 身體資訊之權重值，以作為判斷該個人身體資訊之可靠度之依據，以將不可靠之資訊過濾掉。 Therefore, the information filtering unit 121 may filter the personal body information according to at least one physiological option selected by the test subject or according to the heartbeat, pulse or behavior of the test subject. In other words, the information filtering unit 121 will give the individual according to the above factors. The weight of the body information is used as a basis for judging the reliability of the personal body information to filter out unreliable information.
更詳細地說，待測者可於選單式之表單中選擇符合當下生理狀態之生理選項，例如：前一天睡眠時間是否不足；是否有服用相關藥物；是否有正常進食；目前是否有相關疾病；是否有抽煙飲酒等。 In more detail, the test subject can select physiological options that conform to the current physiological state in the form of the menu, for example: whether the sleep time is insufficient before the previous day; whether the drug is taken; whether there is normal eating; whether there is a related disease at present; Is there any smoking or drinking?
而，另一方面，於行為感測器113的部分，本發明可藉由感測待測者入眠時間及起床時間而得知睡眠是否充足；感測待測者進食時間以判斷進食是否正常。於輔助感測器112方面，則可藉由感測心率狀態，並輔以配合行為感測器113感測待測者手部動作以判斷待測者是否處於抽煙、喝酒或服用藥物後的狀態。 On the other hand, in the part of the behavior sensor 113, the present invention can know whether the sleep is sufficient by sensing the sleep time and the wake-up time of the test subject; and sensing the eating time of the test subject to determine whether the food is normal. In the auxiliary sensor 112, the state of the heart rate can be sensed, and the action sensor 113 can be used to sense the hand movement of the test subject to determine whether the test subject is in a state of smoking, drinking, or taking drugs. .
請參閱第3及4圖；第3圖係為本發明之生理預測系統之第三方塊圖；第4圖係為本務明之生理預測系統之第四方塊圖。如圖所示，本發明之生理預測系統1更可包含提醒模組13及警示模組14；提醒模組13藉由聲音、震動、文字提示或其組合之提示方式提醒待測者使用感測裝置11感測至少一個人身體資訊；而，警示模組14則可於分析單元122判斷待測者之體溫為異常時，產生警示訊號，其可為聲音、震動、文字提示或其組合。 Please refer to Figures 3 and 4; Figure 3 is a third-party block diagram of the physiological prediction system of the present invention; and Figure 4 is a fourth block diagram of the physiological prediction system of the present invention. As shown in the figure, the physiological prediction system 1 of the present invention may further include a reminder module 13 and a warning module 14; the reminder module 13 reminds the test subject to use the sensing by means of a sound, a vibration, a text prompt or a combination thereof. The device 11 senses at least one person's body information; and the warning module 14 can generate a warning signal when the analysis unit 122 determines that the body temperature of the person to be tested is abnormal, which can be sound, vibration, text prompt or a combination thereof.
續言之，提醒模組13可為鬧鐘；而如第4圖所示，提醒模組13可設於感測裝置11或手持通訊裝置12之中；而，警示模組14亦可設於感測裝置11或手持通訊裝置12之中。然，上述僅為舉例，不應以此為限。 Continuingly, the reminder module 13 can be an alarm clock. As shown in FIG. 4, the reminder module 13 can be disposed in the sensing device 11 or the handheld communication device 12; In the measuring device 11 or the handheld communication device 12. However, the above is only an example and should not be limited to this.
而於實際使用本發明之生理預測系統1時，考量到體溫 量測最佳時間為清晨起床前，也就是未起床且未從事任何活動之前，該時間的人體體溫是一天中最穩定且易於顯出體溫之降低或升高。 When the physiological prediction system 1 of the present invention is actually used, the body temperature is considered. The best time to measure is before getting up in the morning, that is, before getting out of bed and not doing any activities, the body temperature at that time is the most stable and easy to show a decrease or increase in body temperature during the day.
因此，藉由提醒模組13，可進一步使其在預定時間進行提醒，或是輔以行為感測器113感測待測者是否處於起床的行為狀態，再進行提醒。 Therefore, by reminding the module 13, the reminder can be further made at a predetermined time, or supplemented by the behavior sensor 113 to sense whether the subject is in a state of getting up, and then reminding.
而，當分析單元122判斷待測者之體溫為異常狀態時，考量到有些疾病在發生前，會有異常的體溫變化，進而可藉由警示模組14發出警示訊號告知待測者應前往就醫檢查。 However, when the analysis unit 122 determines that the body temperature of the test subject is abnormal, it is considered that some diseases may have an abnormal temperature change before the occurrence of the disease, and the warning module 14 may send a warning signal to inform the test subject that the patient should go to the doctor. an examination.
補充一點，感測裝置11可為穿戴式裝置，如手環型裝置，藉以可方便感測待測者脈搏，且進一步可另外拉出體溫計111以量測待測者之舌下溫度。然，上述僅為示例，並不以此為限。 In addition, the sensing device 11 can be a wearable device, such as a wrist-type device, so that the pulse of the test subject can be easily sensed, and the thermometer 111 can be further pulled out to measure the sublingual temperature of the test subject. However, the above is only an example and is not limited thereto.
請參閱第5至7圖；第5圖係為本發明之生理預測系統之預測流程圖；第6圖係為本發明之生理預測系統之第一初始資料示意圖；第6圖係為本發明之生理預測系統之第一初始資料示意圖。如圖所示，本發明之生理預測系統係依據圖中之步驟及初始資料進行預測，其預測步驟及其說明如下： Please refer to Figures 5 to 7; Figure 5 is a prediction flow chart of the physiological prediction system of the present invention; Figure 6 is a schematic diagram of the first initial data of the physiological prediction system of the present invention; Schematic diagram of the first initial data of the physiological prediction system. As shown in the figure, the physiological prediction system of the present invention performs prediction according to the steps and initial data in the figure, and the prediction steps and the description thereof are as follows:
在步驟S51中：測量初始資料；亦為藉由體溫計，且依據規定方式收集待測者體溫之初始資料。 In step S51, the initial data is measured; and the initial data of the body temperature of the test subject is collected by a thermometer and according to a prescribed manner.
在步驟S52中：二值化初始資料；其主要是在預測體溫變化的差異開始處，並以此為週期開始或結束。如第6及7圖所示，當獲得初始資料(第6圖)後，藉由數學轉換成兩個週期分別為高溫期與低溫期(第7圖)，以預測下一週期的轉換點(差異開始處)，亦即第7圖中的A與B點。 In step S52: binarizing the initial data; it is mainly at the beginning of predicting the difference in body temperature change, and starts or ends with this as a cycle. As shown in Figures 6 and 7, when the initial data (Fig. 6) is obtained, it is converted into two periods, the high temperature period and the low temperature period (Fig. 7), to predict the transition point of the next period ( The beginning of the difference), that is, points A and B in Figure 7.
在步驟S53中：以母體預測待測者；由於剛開始時初始資訊收集尚為不足，因此需以母體(大部分女性)週期來輔以預測待測者的週期狀態。在此，我們將使用區間估計法，其不僅可給予是否進入生理週期之訊息外，亦可給予受測者一個機率值參考，而其主要依據為常態分配，並以區間估計來預測其機率。 In step S53, the subject is predicted by the mother; since the initial information collection is still insufficient at the beginning, the mother (most female) period is supplemented to predict the periodic state of the subject. Here, we will use the interval estimation method, which can not only give information on whether to enter the physiological cycle, but also give the subject a probability value reference, and the main basis is the normal distribution, and the interval estimation is used to predict the probability.
在步驟S54中：累積夠多的待測者資訊；亦為持續藉由體溫計測量以累積更多受測者之體溫資訊。 In step S54: accumulate enough information about the subject to be tested; also to continuously measure by the thermometer to accumulate more body temperature information of the subject.
在步驟S55中：以待測者累積資訊進行預測；當受測者體溫的資訊量夠多時，其預測的準確度將會相對提高，其由於更加瞭解受測者的生理週期及其高低體溫差異後，經由判別分析便可給予一個臨界值(第7圖中右側所示之a,b)，當體溫資料超過臨界值則判對為A，低於臨界值則判斷為B，再加上原有的區間估計所計算的機率，便可更加準確地預測受測者之生理週期。 In step S55: predicting the information accumulated by the test subject; when the amount of information of the subject's body temperature is sufficient, the accuracy of the prediction will be relatively improved, because the patient's physiological cycle and its high and low body temperature are better understood. After the difference, a critical value can be given by discriminant analysis (a, b shown on the right side of Fig. 7). When the body temperature data exceeds the critical value, the judgment is A, and if it is lower than the critical value, it is judged as B, plus the original Some intervals estimate the calculated probability to more accurately predict the physiological cycle of the subject.
上述中所述之預測流程僅為本發明之生理預測系統之其中一個實施範例，其僅為示例，不應以此為限。 The prediction process described above is only one of the embodiments of the physiological prediction system of the present invention, which is merely an example and should not be limited thereto.
綜觀上述，本發明之生理預測系統乃為習知技術所不能及者，確實已達到所欲增進之功效，且也非熟悉該項技藝者所易於思及，其所具之進步性、實用性，顯然已符合專利之申請要件，爰依法提出專利申請，懇請 貴局核准本件發明專利申請案，以勵創作，至感德便。 In view of the above, the physiological prediction system of the present invention is inaccessible to the prior art, and has indeed achieved the desired effect, and is not familiar with the skill of the artist, and has progressive and practical effects. Obviously, it has already met the application requirements of the patent, and has filed a patent application according to law. You are requested to approve the application for this invention patent to encourage creation.
1‧‧‧生理預測系統 1‧‧‧Physiological prediction system
11‧‧‧感測裝置 11‧‧‧Sensing device
12‧‧‧手持通訊裝置 12‧‧‧Handheld communication device
121‧‧‧資訊過濾單元 121‧‧‧Information Filtering Unit
122‧‧‧分析單元 122‧‧‧Analysis unit
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| CN102783940A (en) * | 2011-07-11 | 2012-11-21 | 梁于阳 | Method and device for continuously measuring temperature, analyzing basal body temperature and predicting coming fever peak by utilizing mobile terminal |
| US8374989B2 (en) * | 2009-01-23 | 2013-02-12 | Industry-University Cooperation Foundation Sogang University | System for customized prediction of menstruation period or fertility period and calculation method therefor |
| CN103142255A (en) * | 2013-03-19 | 2013-06-12 | 褚真威 | Women ovulatory period electronic detection instrument and detection method |
| TWM473818U (en) * | 2013-09-10 | 2014-03-11 | Univ Ling Tung | Menstrual period pen |
| CN103876783A (en) * | 2014-03-10 | 2014-06-25 | 续嘉 | Wearable device and monitoring method capable of monitoring female physiological cycle |
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| US8374989B2 (en) * | 2009-01-23 | 2013-02-12 | Industry-University Cooperation Foundation Sogang University | System for customized prediction of menstruation period or fertility period and calculation method therefor |
| CN102783940A (en) * | 2011-07-11 | 2012-11-21 | 梁于阳 | Method and device for continuously measuring temperature, analyzing basal body temperature and predicting coming fever peak by utilizing mobile terminal |
| CN103142255A (en) * | 2013-03-19 | 2013-06-12 | 褚真威 | Women ovulatory period electronic detection instrument and detection method |
| TWM473818U (en) * | 2013-09-10 | 2014-03-11 | Univ Ling Tung | Menstrual period pen |
| CN103876783A (en) * | 2014-03-10 | 2014-06-25 | 续嘉 | Wearable device and monitoring method capable of monitoring female physiological cycle |
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