使用chrome瀏覽器,輕鬆學英文。

如有任何問題,歡迎聯絡我們

希平方
攻其不背
App 開放下載中
希平方
攻其不背
App 開放下載中
免費註冊
! 這組帳號已經註冊過了
Email 帳號
密碼請填入 6 位數以上密碼
已經有帳號了?
忘記密碼
! 這組帳號已經註冊過了
您的 Email
請輸入您註冊時填寫的 Email,
我們將會寄送設定新密碼的連結給您。
寄信了!請到信箱打開密碼連結信
密碼信已寄至
沒有收到信嗎? 點這裡重寄一次
如果您尚未收到信,請前往垃圾郵件查看,謝謝!

恭喜您註冊成功!

查看會員功能

註冊未完成

《HOPE English 希平方》服務條款關於個人資料收集與使用之規定

隱私權政策
上次更新日期:2014-12-30

希平方 為一英文學習平台,我們每天固定上傳優質且豐富的影片內容,讓您不但能以有趣的方式學習英文,還能增加內涵,豐富知識。我們非常注重您的隱私,以下說明為當您使用我們平台時,我們如何收集、使用、揭露、轉移及儲存你的資料。請您花一些時間熟讀我們的隱私權做法,我們歡迎您的任何疑問或意見,提供我們將產品、服務、內容、廣告做得更好。

本政策涵蓋的內容包括:希平方 如何處理蒐集或收到的個人資料。
本隱私權保護政策只適用於: 希平方 平台,不適用於非 希平方 平台所有或控制的公司,也不適用於非 希平方 僱用或管理之人。

個人資料的收集與使用
當您註冊 希平方 平台時,我們會詢問您姓名、電子郵件、出生日期、職位、行業及個人興趣等資料。在您註冊完 希平方 帳號並登入我們的服務後,我們就能辨認您的身分,讓您使用更完整的服務,或參加相關宣傳、優惠及贈獎活動。希平方 也可能從商業夥伴或其他公司處取得您的個人資料,並將這些資料與 希平方 所擁有的您的個人資料相結合。

我們所收集的個人資料, 將用於通知您有關 希平方 最新產品公告、軟體更新,以及即將發生的事件,也可用以協助改進我們的服務。

我們也可能使用個人資料為內部用途。例如:稽核、資料分析、研究等,以改進 希平方公司 產品、服務及客戶溝通。

瀏覽資料的收集與使用
希平方 自動接收並記錄您電腦和瀏覽器上的資料,包括 IP 位址、希平方 cookie 中的資料、軟體和硬體屬性以及您瀏覽的網頁紀錄。

隱私權政策修訂
我們會不定時修正與變更《隱私權政策》,不會在未經您明確同意的情況下,縮減本《隱私權政策》賦予您的權利。隱私權政策變更時一律會在本頁發佈;如果屬於重大變更,我們會提供更明顯的通知 (包括某些服務會以電子郵件通知隱私權政策的變更)。我們還會將本《隱私權政策》的舊版加以封存,方便您回顧。

服務條款
歡迎您加入看 ”希平方”
上次更新日期:2013-09-09

歡迎您加入看 ”希平方”
感謝您使用我們的產品和服務(以下簡稱「本服務」),本服務是由 希平方 所提供。
本服務條款訂立的目的,是為了保護會員以及所有使用者(以下稱會員)的權益,並構成會員與本服務提供者之間的契約,在使用者完成註冊手續前,應詳細閱讀本服務條款之全部條文,一旦您按下「註冊」按鈕,即表示您已知悉、並完全同意本服務條款的所有約定。如您是法律上之無行為能力人或限制行為能力人(如未滿二十歲之未成年人),則您在加入會員前,請將本服務條款交由您的法定代理人(如父母、輔助人或監護人)閱讀,並得到其同意,您才可註冊及使用 希平方 所提供之會員服務。當您開始使用 希平方 所提供之會員服務時,則表示您的法定代理人(如父母、輔助人或監護人)已經閱讀、了解並同意本服務條款。 我們可能會修改本條款或適用於本服務之任何額外條款,以(例如)反映法律之變更或本服務之變動。您應定期查閱本條款內容。這些條款如有修訂,我們會在本網頁發佈通知。變更不會回溯適用,並將於公布變更起十四天或更長時間後方始生效。不過,針對本服務新功能的變更,或基於法律理由而為之變更,將立即生效。如果您不同意本服務之修訂條款,則請停止使用該本服務。

第三人網站的連結 本服務或協力廠商可能會提供連結至其他網站或網路資源的連結。您可能會因此連結至其他業者經營的網站,但不表示希平方與該等業者有任何關係。其他業者經營的網站均由各該業者自行負責,不屬希平方控制及負責範圍之內。

兒童及青少年之保護 兒童及青少年上網已經成為無可避免之趨勢,使用網際網路獲取知識更可以培養子女的成熟度與競爭能力。然而網路上的確存有不適宜兒童及青少年接受的訊息,例如色情與暴力的訊息,兒童及青少年有可能因此受到心靈與肉體上的傷害。因此,為確保兒童及青少年使用網路的安全,並避免隱私權受到侵犯,家長(或監護人)應先檢閱各該網站是否有保護個人資料的「隱私權政策」,再決定是否同意提出相關的個人資料;並應持續叮嚀兒童及青少年不可洩漏自己或家人的任何資料(包括姓名、地址、電話、電子郵件信箱、照片、信用卡號等)給任何人。

為了維護 希平方 網站安全,我們需要您的協助:

您承諾絕不為任何非法目的或以任何非法方式使用本服務,並承諾遵守中華民國相關法規及一切使用網際網路之國際慣例。您若係中華民國以外之使用者,並同意遵守所屬國家或地域之法令。您同意並保證不得利用本服務從事侵害他人權益或違法之行為,包括但不限於:
A. 侵害他人名譽、隱私權、營業秘密、商標權、著作權、專利權、其他智慧財產權及其他權利;
B. 違反依法律或契約所應負之保密義務;
C. 冒用他人名義使用本服務;
D. 上載、張貼、傳輸或散佈任何含有電腦病毒或任何對電腦軟、硬體產生中斷、破壞或限制功能之程式碼之資料;
E. 干擾或中斷本服務或伺服器或連結本服務之網路,或不遵守連結至本服務之相關需求、程序、政策或規則等,包括但不限於:使用任何設備、軟體或刻意規避看 希平方 - 看 YouTube 學英文 之排除自動搜尋之標頭 (robot exclusion headers);

服務中斷或暫停
本公司將以合理之方式及技術,維護會員服務之正常運作,但有時仍會有無法預期的因素導致服務中斷或故障等現象,可能將造成您使用上的不便、資料喪失、錯誤、遭人篡改或其他經濟上損失等情形。建議您於使用本服務時宜自行採取防護措施。 希平方 對於您因使用(或無法使用)本服務而造成的損害,除故意或重大過失外,不負任何賠償責任。

版權宣告
上次更新日期:2013-09-16

希平方 內所有資料之著作權、所有權與智慧財產權,包括翻譯內容、程式與軟體均為 希平方 所有,須經希平方同意合法才得以使用。
希平方歡迎你分享網站連結、單字、片語、佳句,使用時須標明出處,並遵守下列原則:

  • 禁止用於獲取個人或團體利益,或從事未經 希平方 事前授權的商業行為
  • 禁止用於政黨或政治宣傳,或暗示有支持某位候選人
  • 禁止用於非希平方認可的產品或政策建議
  • 禁止公佈或傳送任何誹謗、侮辱、具威脅性、攻擊性、不雅、猥褻、不實、色情、暴力、違反公共秩序或善良風俗或其他不法之文字、圖片或任何形式的檔案
  • 禁止侵害或毀損希平方或他人名譽、隱私權、營業秘密、商標權、著作權、專利權、其他智慧財產權及其他權利、違反法律或契約所應付支保密義務
  • 嚴禁謊稱希平方辦公室、職員、代理人或發言人的言論背書,或作為募款的用途

網站連結
歡迎您分享 希平方 網站連結,與您的朋友一起學習英文。

抱歉傳送失敗!

不明原因問題造成傳送失敗,請儘速與我們聯繫!

「Eric Topol:醫學的無線未來」- The Wireless Future of Medicine


框選或點兩下字幕可以直接查字典喔!

Does anybody know when the stethoscope was invented? Any guesses? 1816. And what I can say is, in 2016, doctors aren't going to be walking around with stethoscopes. There's a whole lot better technology coming, and that's part of the change in medicine. What has changed our society has been wireless devices. But the future are digital medical wireless devices, okay?

So let me give you some examples of this to kind of make this much more concrete. This is the first one. This is an electrocardiogram. And, as a cardiologist, to think that you could see in real time a patient, an individual, anywhere in the world on your smartphone, watching your rhythm—that's incredible, and it's with us today. But that's just the beginning. You check your email while you're sitting here. In the future, you're going to be checking all your vital signs, all your vital signs: your heart rhythm, your blood pressure, your oxygen, your temperature, etc.

This is already available today. This is AirStrip Technologies. It's now wired—or I should say, wireless—by taking the aggregate of these signals in the hospital, in the intensive care unit, and putting it on a smartphone for physicians. If you're an expectant parent, what about the ability to monitor continuously fetal heart rate or intrauterine contractions, and not having to worry so much that things are fine as the pregnancy, and moving over into the time of delivery?

And then if we go further, today we have continuous glucose sensors. Right now, they are under the skin, but in the future, they won't have to be implanted. And of course, the desired range—trying to keep glucose between 75 and less than 200, checking it every five minutes in a continuous glucose sensor—you'll see how that can impact diabetes.

And what about sleep? We're going to zoom in on that a little bit. We're supposed to spend a third of our life in sleep. What if, on your phone, which will be available in the next few weeks, you had every minute of your sleep displayed? And this is, of course, as you can see, the awake is the orange. The REM sleep, rapid eye movement, dream state, is in light green; and light is gray, light sleep; and deep sleep, the best restorative sleep, is that dark green.

How about counting every calorie? And this is ability, in real time, to actually take measurements of caloric intake as well as expenditure, through a Band-Aid.

Now, what I've talked about are physiologic metrics. But what I want to get to, the next frontier, very quickly, and why the stethoscope is on its way out, is because we can transcend listening to the valve sounds, and the breath sounds, because now, introduced by G.E. is a handheld ultra-sound. Why is this important? Because this is so much more sensitive. Here is an example of an abdominal ultrasound, and also a cardiac echo, which can be sent wireless, and then there's an example of fetal monitoring on your smartphone. So, we're not just talking about physiologic metrics—the key measurements of vital signs, and all those things in physiology—but also all the imaging that one could look at in your smartphone. '

Now, this is an example of another obsolete technology, soon to be buried: the Holter Monitor. Twenty-four hour recording, lots of wires. This is now a little tiny patch. You can put it on for two weeks and send it in the mail. Now, how does this work? Well, there's these smart Band-Aids or these sensors that one would put on, on a shoe or on the wrist. And this sends a signal and it creates a body area network to a gateway. Gateway could be a smartphone, or it could be a dedicated gateway. As today many of these things are dedicated gateways, because they are not so well integrated. That signal goes to the web, the cloud, and then it can be processed and sent anywhere: to a caregiver, to a physician, back to the patient, etc. So that's basically very simplistic technology of how this works.

Now, I have this device on. I didn't want to take my shirt off to show you, but I can tell you it's on. This is a device that not only measures cardiac rhythm, as you saw already, but it also goes well beyond that. This is me now. And you can see the ECG. Below that's the actual heart rate and the trend; to the right of that is a bioconductant. That's the fluid status. Fluid status, that's really important if you're monitoring somebody with heart failure. And below that's temperature, and respiration, and oxygen, and then the position activity. So, this is really striking, because this device measures seven things that are very much vital signs for monitoring someone with heart failure. Okay?

And why is this important? Well, this is the most expensive bed. What if we could reduce the need for hospital beds? Well, we can. First of all, heart failure is the number one reason for hospital admissions and readmissions in this country. The cost of heart failure is 37 billion dollars a year, which is 80 percent related to hospitalization. And in the course of 30 days after a hospital stay for a Medicare greater than 65 years or older, is—27 percent are readmitted in 30 days, and by six months, over 56 percent are readmitted. So, can we improve that? Well, the idea is we take this device that I'm wearing, and we put it on 600 patients with heart failure, randomly assigned, versus 600 patients who don't have active monitoring, and see whether we can reduce heart failure readmissions, and that's exciting. And we'll start that trial, and you'll hear more about how we're going to do that, but that's a type of wireless device trial that could change medicine in the years ahead.

Why now? Why has this all of a sudden become a reality, an exciting direction in the future of medicine? What we have is, in a way, a perfect positive storm. This sets up consumer-driven healthcare. That's where this is all starting. Let me just give you specifics about why this is a big movement if you're not aware of it: 1.2 million Americans have gotten a Nike shoe, which is a body-area network that connects the shoe, the sole of the shoe to the iPhone, or an iPod. And this Wired Magazine cover article really captured a lot of this; it talked a lot about the Nike shoe and how quickly that's been adopted to monitor exercise physiology and energy expenditure. Here are some things, the principles that are guiding principles to keep in mind: "A data-driven health revolution promises to make us all better, faster, and stronger. Living by numbers."

And this one, which is really telling, this was from July, this cover article: "The personal metrics movement goes way beyond diet and exercise. It's about tracking every facet of life, from sleep to mood to pain, 24/7/365." Well, I tried this device. You know, a lot of you have gotten that Phillips Direct Life. I didn't have one of those, but I got the Fitbit. That looks like this. It's like a wireless accelerometer, pedometer. And I want to just give you the results of that testing, because I wanted to understand about the consumer movement. I hope the, by the way, the Phillips Direct Life works better—I hope so. But this monitors food. It monitors activity and tracks weight. However you have to put in most of this stuff. The only thing it really tracks by itself is activity, and even then, it's not complete. So, you exercise and it picks up the exercise. You put in your height and weight, it calculates BMI, and of course it tells you how many calories you're expending from the exercise, and how many you took in, if you go in and enter all the foods. But it really wants you to enter all your activity.

And so I went to this, and of course I was gratified that it picked up the 42 minutes of exercise, elliptical exercise I did, but then it wants more information. So, it says, "You want to log sexual activity. How long did you do it for?" And it says, "How hard was it?" Furthermore, it says, "Start time." Now, this doesn't appear—this just doesn't work. I mean, this just doesn't work.

So, now I want to move to sleep. Who would ever have thought you could have your own EEG at your home, tagged to a very nice alarm clock, by the way? This is the headband that goes with this alarm clock. It monitors your brainwaves continuously when you're sleeping. So, I did this thing for seven days getting ready for TEDMed. This is an important part of our life. One-third is supposed to be sleeping, of course.

How many here have any problems with sleeping? It's usually 90 percent. So, you tell me you sleep better than expected. Okay, well this was a week of my life in sleeping, and you get a Z.Q. score. Instead of an I.Q. score, you get a Z.Q. score when you wake up. You say, "Oh, okay." And a Z.Q. score is adjusted to age, and you want to get as high as you possibly can. And so this is the moment-by-moment, or minute-by-minute sleep. And you see that Z.Q. there was 80-odd. And the wake time is in orange. And this can be a problem, as I learned. Because it not only helps you with quantifying your sleep but also tells others you're awake. So, when my wife came in and she could tell you're awake. "Eric, I want to talk. I want to talk." And I'm trying to play possum. This thing is very, very impressive.

Okay. So, that's the first night. And this one is now 67, and that's not a good score. And this tells you, of course, how much you had in REM sleep, in deep sleep, and all this sort of thing. This was really fascinating because this gave that quantitation about all the different phases of sleep. So, it also then tells you how you do compared to your age group. It's like a managed competition of sleep. And really interesting stuff—look at this thing and say, "Well, I didn't think I was a very good sleeper, but actually I did better than average in 50 to 60 year olds." Okay? And the key thing was, what I didn't know, was that I was a really good dreamer.

Okay. Now, let's move from sleep to diseases. Eighty percent of Americans have chronic disease, or 80 percent of age greater than 65 have two or more chronic disease, 140 million Americans have one or more chronic disease, and 80 percent of our 1.5, whatever, trillion expenditures are related to chronic disease. Now, diabetes is one of the big ones. Almost 24 million people have diabetes. And here is the latest map. It was published just a little more than a week ago in the New York Times, and it isn't looking good. That is, for men, 29 percent in the country over 60 have Type II diabetes, and women, although it's less, it's terribly high.

But of course we have a way to measure that now, on a continuous basis with a sensor that detects blood glucose, and it's important because we could detect hyperglycemia that otherwise wouldn't be known, and also hypoglycemia. And you can see the red dots, in this particular patient's case, were finger sticks, which would have missed both ends. But by continuous monitoring, it captures all that vital information. The future of this though, is being able to move this to a Band-Aid type phenomenon, and that's not so far away. So, let me just give you, very quickly, 10 top targets for wireless medicine. All these things are possible—some of them are very close, or already, as you heard, are available today, in some way or form.

Alzheimer's disease: there's five million people affected, and you can check vital signs, activity, balance. Asthma: large number, we could detect things like pollen count, air quality, respiratory rate. Breast cancer, I'll show you an example of that real quickly. Chronic obstructive pulmonary disease. Depression, there's a great approach to that in mood disorders. Diabetes I've just mentioned. Heart failure we already talked about. Hypertension: 74 million people could have continuous blood-pressure monitoring to come up with a much better management and prevention. And obesity we already talked about, the ways to get to that. And sleep disorders.

This is effective around the world. The access to smartphones and cell phones today is extraordinary. And this article from The Economist summed it up beautifully about the opportunities in health across the developing world: "Mobile phones made a bigger difference to the lives of more people, more quickly, than any previous technology." And that's before we got going on the m-health world. Aging: The problem is enormous, 300,000 broken hips per year; but the solutions are extraordinary, and they include so many different things. One of the ones I just wanted to mention: The iShoe is another example of a sensor that improves proprioception among the elderly to prevent falling, one of many different techniques using wireless sensors. So we can change medicine across the continuum of care, across the ages from preemies or unborn children to seniors. The pharmaceutical arena changes; the full spectrum of disease—I hope I've given you a sense of that—across the globe.

There are two things that can really accelerate this whole process. One of them—we're very fortunate—is to develop a dedicated institute and that's work that started with the work that Scripps with Qualcomm, and then the great fortune of meeting up with Gary and Mary West, to get behind this wireless health institute. San Diego is an extraordinary place for this. There's over 650 wireless companies; 100 of which or more are working in wireless health. It's the number one source of commerce, and interestingly, it dovetails beautifully with over 500 life science companies.

The wireless institute, the West Wireless Health Institute, is really the outgrowth of two extraordinary people who are here this evening: Gary and Mary West. And I'd like to give it up for them for getting behind this. Their fantastic philanthropic investment made this possible, and this is really a nonprofit education center which is just about to open. It looks like this, this whole building dedicated. And what it's trying to do is accelerate this era: to take unmet medical needs, to work and innovate—and we just appointed the chief engineer, Mehran Mehregany, it was announced on Monday—then to move up with development, clinical trial validation and then changing medical practice, the most challenging thing of all, requiring attention to reimbursement, healthcare policy, healthcare economics.

The other big thing, besides having this fantastic institute to catalyze this process, is guidance, and that's, of course, relying on the fact that medicine goes digital. If we understand biology from genomics and omics and wireless through physiologic phenotyping, that's big. Because what it does is allow a convergence like we've never had before. Over 80 major diseases have been cracked at the genomic level, but this is quite extraordinary: More has been learned about the underpinnings of disease in the last two and a half years than in the history of man. And when you put that together with, for example, now an app for the iPhone with your genotype to guide drug therapy, but the future—we can now tell who's going to get Type II diabetes from all the common variants, and that's going to get filled in more with low-frequency variants in the future. We can tell who's going to get breast cancer from the various genes. We can also know who would likely to get atrial fibrillation.

And finally, another example: sudden cardiac death. Each of these has a sensor. We can give glucose a sensor for diabetes to prevent it. We can prevent or have the earliest detection possible for breast cancer with an ultrasound device given to the patient. An iPatch, iRhythm for atrial fibrillation. And vital-signs monitoring to prevent sudden cardiac death. We lose 700,000 people a year in the U.S. from sudden cardiac death.

So, I hope I've convinced you of this, of the impact on hospital clinic resources is profound, and then the impact on diseases is equally impressive across all these different diseases and more. It's really taking individualized medicine to a new height and it's hyper-innovative, and I think it represents the black swan of medicine. Thanks for your attention.

播放本句

登入使用學習功能

使用Email登入

HOPE English 播放器使用小提示

  • 功能簡介

    單句重覆、上一句、下一句:顧名思義,以句子為單位重覆播放,單句重覆鍵顯示橘色時為重覆播放狀態;顯示灰色時為正常播放狀態。按上一句鍵、下一句鍵時就會自動重覆播放該句。
    收錄佳句:點擊可增減想收藏的句子。

    中、英文字幕開關:中、英文字幕按鍵為綠色為開啟,灰色為關閉。鼓勵大家搞懂每一句的內容以後,關上字幕聽聽看,會發現自己好像在聽中文說故事一樣,會很有成就感喔!
    收錄單字:用滑鼠框選英文單字可以收藏不會的單字。
  • 分享
    如果您覺得本篇短片很有趣或很喜歡,在短片結束時有分享連結,可以分享給朋友一同欣賞,一起看YouTube學英文!

    或是您有收錄很優秀的句子時,也可以分享佳句給大家,一同看佳句學英文!