TW202123879A - Portable electrocardiogram device - Google Patents
Portable electrocardiogram device Download PDFInfo
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- TW202123879A TW202123879A TW108147338A TW108147338A TW202123879A TW 202123879 A TW202123879 A TW 202123879A TW 108147338 A TW108147338 A TW 108147338A TW 108147338 A TW108147338 A TW 108147338A TW 202123879 A TW202123879 A TW 202123879A
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- 238000013473 artificial intelligence Methods 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims abstract description 3
- 238000004891 communication Methods 0.000 claims description 4
- 230000000747 cardiac effect Effects 0.000 claims description 3
- 206010021143 Hypoxia Diseases 0.000 claims description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 2
- 208000001871 Tachycardia Diseases 0.000 claims description 2
- 206010003119 arrhythmia Diseases 0.000 claims description 2
- 230000006793 arrhythmia Effects 0.000 claims description 2
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 230000036772 blood pressure Effects 0.000 claims description 2
- 208000006218 bradycardia Diseases 0.000 claims description 2
- 230000036471 bradycardia Effects 0.000 claims description 2
- 238000004590 computer program Methods 0.000 claims description 2
- 229940079593 drug Drugs 0.000 claims description 2
- 239000003814 drug Substances 0.000 claims description 2
- 230000007954 hypoxia Effects 0.000 claims description 2
- 229910052744 lithium Inorganic materials 0.000 claims description 2
- 238000002483 medication Methods 0.000 claims description 2
- 230000002107 myocardial effect Effects 0.000 claims description 2
- 238000003672 processing method Methods 0.000 claims description 2
- 238000000718 qrs complex Methods 0.000 claims description 2
- 230000006794 tachycardia Effects 0.000 claims description 2
- 239000004020 conductor Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 208000019622 heart disease Diseases 0.000 description 4
- 230000003334 potential effect Effects 0.000 description 2
- 206010042434 Sudden death Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013399 early diagnosis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 208000010125 myocardial infarction Diseases 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
Description
本發明是關於一種心電圖裝置；此種裝置體積小,方便隨身攜帶；此裝置產生的心電圖訊號，可傳輸至行動裝置或是網路雲端，進而儲存和分析使用者的心電圖訊號。The invention relates to an electrocardiogram device; the device is small in size and convenient to carry around; the electrocardiogram signal generated by the device can be transmitted to a mobile device or a network cloud to store and analyze the user's electrocardiogram signal.
傳統心電圖儀器體積龐大，無法隨身攜帶；價格昂貴且操作困難，因此多在 醫療院所及專業醫療人員操作下使用。然而，心臟疾病的發作，常有不確定性及急迫性。因此，一種方便攜帶且容易使用的心電圖儀器，有其發明的必要。Traditional ECG instruments are bulky and cannot be carried around; they are expensive and difficult to operate, so they are mostly used by medical institutions and professional medical personnel. However, the onset of heart disease is often uncertain and urgency. Therefore, it is necessary to invent an ECG instrument that is convenient to carry and easy to use.
此裝置包含硬體部分和軟體部分。硬體部分包括心電圖裝置外觀、模擬前端、系統晶片組、藍牙模組、電池模組。軟體部分包括韌體程式設計、行動裝置應用程式設計。This device includes a hardware part and a software part. The hardware part includes the appearance of the ECG device, the analog front end, the system chipset, the Bluetooth module, and the battery module. The software part includes firmware programming and mobile device application programming.
此裝置的外觀設計包括圓形外觀設計、心型電極導片設計。The appearance design of this device includes a circular appearance design and a heart-shaped electrode guide design.
此裝置的模擬前端包括電極導片、儀表放大器、電子濾波器和類比數位轉換器。人體的心臟，有一套電位傳導系統，可指揮心臟搏動，以輸送血液至全身。此種心臟的電位活動會傳導到身體表面。此裝置的模擬前端可以量測到身體的表面電位，經由電位訊號的轉換，測量到心臟的電位活動。 此裝置的儀表放大器可以放大電位訊號；電子濾波器可以過濾掉雜訊；類比數位轉換器可以將類比訊號轉換成數位訊號。此數位訊號，再傳輸至系統晶片組，做數位訊號處理。The analog front end of this device includes electrode guides, instrumentation amplifiers, electronic filters, and analog-to-digital converters. The human heart has a set of electric potential conduction system, which can direct the heart beat to transport blood to the whole body. This electrical activity of the heart is conducted to the surface of the body. The analog front end of this device can measure the surface potential of the body, and the potential activity of the heart can be measured through the conversion of the potential signal. The instrumentation amplifier of this device can amplify the potential signal; the electronic filter can filter out the noise; the analog-to-digital converter can convert the analog signal into a digital signal. This digital signal is then transmitted to the system chipset for digital signal processing.
此裝置的系統晶片組可寫入韌體電腦程式，此程式可以將心電圖訊號做進一步的處理。處理方式包括利用數位濾波器再濾除雜訊；利用人工智能類神經網路的演算法計算心率以及獲取心電圖波形的各項特徵,如P波，QRS複合體，T波等。使用者的心臟電位訊號，在經過數位訊號處理後，再經由藍牙通訊晶片組，傳輸至行動裝置，如手機或平板電腦。The system chipset of this device can be written into a firmware computer program, which can further process the ECG signal. Processing methods include the use of digital filters to filter out noise; the use of artificial intelligence neural network algorithms to calculate heart rate and obtain various characteristics of the ECG waveform, such as P wave, QRS complex, T wave, etc. The user's cardiac potential signal is processed by the digital signal, and then transmitted to the mobile device, such as a mobile phone or a tablet computer, through the Bluetooth communication chipset.
此裝置的藍牙通訊晶片組，採用低耗能設計，可以讓此裝置長時間的使用。The Bluetooth communication chipset of this device adopts a low-energy design, which allows the device to be used for a long time.
此裝置的電源設計包括鋰電池或鈕扣電池電路設計。The power supply design of this device includes lithium battery or button battery circuit design.
此裝置包含行動裝置應用程式設計。此應用程式可播放即時心電圖波形、 顯示心率以及心電圖波形特徵。此應用程式並可輸入使用者資料，如年齡、身高、體重、血壓、過去病史以及使用藥物等。經由人工智能演算法，此應用程式可顯示初步的診斷，如心搏過慢、心搏過速、心律不整、心肌缺氧等。This device includes mobile device application programming. This application can play real-time ECG waveforms, display heart rate and ECG waveform characteristics. This application can enter user information, such as age, height, weight, blood pressure, past medical history, and medications. Through artificial intelligence algorithms, this application can display preliminary diagnoses such as bradycardia, tachycardia, arrhythmia, myocardial hypoxia, etc.
此裝置的心電圖數據資料，可以儲存在行動裝置內，或是傳送到雲端儲存。雲端儲存的資料可再進一步做大數據的分析。The ECG data of this device can be stored in a mobile device or sent to the cloud for storage. The data stored in the cloud can be further analyzed for big data.
此裝置可以及早偵測心臟疾病，追蹤高危險心臟疾病族群，增進人類社會健康。This device can detect heart disease early, track high-risk heart disease groups, and improve the health of human society.
新穎性 此裝置在台灣，目前並無販售。此裝置的系統晶片組設計、韌體程式設計、低功率藍牙連接、行動裝置應用程式設計、智能物聯網以及醫療大數據應用，都是最近幾年才應用的新興技術。Novelty This device is currently not sold in Taiwan. The system chipset design, firmware programming, low-power Bluetooth connection, mobile device application programming, intelligent Internet of Things, and medical big data applications of this device are all emerging technologies that have only been applied in recent years.
進步性 傳統心電圖儀器體積龐大，無法隨身攜帶。此種可攜式心電圖裝置，體積小，可以隨身攜帶，方便病患隨時監測心臟生理功能。Progressive Traditional electrocardiogram instruments are bulky and cannot be carried around. This portable electrocardiogram device is small in size and can be carried around, which is convenient for patients to monitor the physiological functions of the heart at any time.
實用性 此裝置方便隨身攜帶，可以即時監測心臟電位活動，應用於早期心臟疾病診斷以及高危險族群追蹤。一旦此裝置偵測到心電圖異常，可以提醒病患及早就醫治療，以避免危險的併發症， 如心肌梗塞、猝死等。Practicality This device is convenient to carry around, can monitor cardiac potential activity in real time, and is used for early diagnosis of heart disease and tracking of high-risk groups. Once the device detects an abnormal ECG, it can remind the patient to seek medical treatment as soon as possible to avoid dangerous complications such as myocardial infarction and sudden death.
如第6圖所示，導程1爲右手接觸此裝置前面導極，左手接觸此裝置背面導極。如第7圖所示導程2為右手接觸此裝置前面導極，左腿接觸此裝置背面導極。如第8圖所示導程3爲左手接觸此裝置前面導極，右腿接觸此裝置背面導極。As shown in Figure 6, Lead 1 is when the right hand touches the front conductor of the device, and the left hand touches the back conductor of the device. As shown in Figure 7, the lead 2 is when the right hand touches the front conductor of the device, and the left leg touches the back conductor of the device. As shown in Figure 8, the lead 3 is when the left hand touches the front conductor of the device, and the right leg touches the back conductor of the device.
10:心電圖裝置 11:裝置前面心型導極 12:裝置後面右心型導極 13:裝置後面左心型導極10: ECG device 11: Cardioid guide pole on the front of the device 12: Right heart-shaped lead at the back of the device 13: Left heart-shaped lead at the back of the device
第1圖為本裝置功能方塊圖。 第2圖為本裝置行動裝置應用程式圖。 第3圖為本裝置前面圖。 第4圖爲本裝置側面圖。 第5圖為本裝置背面圖。 第6圖為本裝置導程1使用示意圖。 第7圖為本裝置導程2使用示意圖。 第8圖為本裝置導程3使用示意圖。Figure 1 is a functional block diagram of the device. Figure 2 is a diagram of the mobile device application program of the device. Figure 3 is the front view of the device. Figure 4 is a side view of the device. Figure 5 is the back view of the device. Figure 6 is a schematic diagram of the use of lead 1 of the device. Figure 7 is a schematic diagram of the use of lead 2 of the device. Figure 8 is a schematic diagram of the use of lead 3 of the device.
10:心電圖裝置10: ECG device
11:裝置前面心型導極11: Cardioid guide pole on the front of the device
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| TW108147338A TW202123879A (en) | 2019-12-24 | 2019-12-24 | Portable electrocardiogram device |
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| TW108147338A TW202123879A (en) | 2019-12-24 | 2019-12-24 | Portable electrocardiogram device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI866757B (en) * | 2024-01-25 | 2024-12-11 | 高雄醫學大學 | Method and system for predicting sudden death risk using artificial intelligence |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI866757B (en) * | 2024-01-25 | 2024-12-11 | 高雄醫學大學 | Method and system for predicting sudden death risk using artificial intelligence |
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