WEARABLES - INSIDABLES - IOT - CONNECTED DEVICES - QUANTIFIEDSELF

De plus en plus de stars arborent d'étranges bracelets en caoutchouc qui mesurent leur activité sportive.

(...)

Fitbit officially announced its new device, Fitbit Force,which was leaked last week. It will be available from “select retailers” in three to four weeks at $129.95.

As part of a future update, for iPhones 4S and higher that are running on iOS 7, users can choose to receive incoming call notifications on their Fitbit Force device if the phone is nearby, a feature common on smartwatches.

Dear Lifehacker, It seems like a day doesn't go by where I don't hear about some new self-tracking app or device. Do I honestly need to know where I am or what I'm eating every ding-dong day?

ProgrammableWeb.com keeps you up to date with web mashups and APIs: what's new, interesting, useful and important. Hundreds of mashups and APIs. Contribute, search, view, and chart them.

It's a stunt of giving up her body for science, and kind of a cool punk fashion statement -- and a daunting amount of syncing and charging.

Aurons-nous bientôt toute notre vie connectée accrochée au poignet? Alors qu’avec Sony et sa SmartWatch 2, mais aussi Samsung et sa Galaxy Gear, les smart watches font l’actu, les bracelets...

How will health data tracking reach the masses? By showing people that it can seamlessly improve healthcare delivery, day-to-day communication and even entertainment.

The first wearable health sensor designed to be open. One wristband - infinite apps.

The Quantified Self is a movement that advocates measuring aspects of your daily life such as calories, blood pressure, exercise, diet, heart rate, and other metrics.

A l'heure où les montres connectées pointent le bout de leur nez, voici une tocante des plus originales : la Tikker propose de vous rappeler à chaque instant le temps qu'il vous reste à vivre.

It has only been six months since Fitbit released its first activity-tracking wristband, and now the company has another one.

Blog: What will it take to make data personal?

As talks continue about big data and how to aggregate and share it electronically, we need to keep our ultimate goal in sight – giving providers the information required to better manage the health of the individual patient, in real time at the point of care. So, as the data tsunami continues with states well underway with HIE development and more ACOs coming online, we still have to bring it back to the patient and ask - what will it take to make the millions of gigs of information out there make a real difference to the guy in the hospital gown? Or, to the grandmother rehabilitating from hip surgery at home?

Fortunately, the government’s investment in health information technology sharing has resulted in faster adaptation of EHRs and information sharing. Still, many clinicians don’t have convenient access to usable data for a specific patient encounter at the point of care. And this can only happen when all of this big data coming into the HIE and ACOs can be accessed and is usable by all users and in all settings.

Now developers and providers are finding themselves at the place of actually aggregating and sharing big data electronically and getting closer to the ultimate goal of giving providers the information required to better manage the health of individual patients, in real time and at the point of care. For some, this must feel like the moment of truth. Still, there are a number of barriers and rivers to be crossed before we can actually make this data personal or work for the patient and the clinician. And over the last four years, many of us have experienced many challenges on the road to HIT nirvana.

So, what will it take to get to the HITECH end-goal where we use technology to make healthcare safer, more efficient, effective and, of course, patient-centric?

If I were a betting man, I would say another requirement.

In time, it certainly appears that the government will require integration of all care providers across the spectrum to not only report, but to improve patient outcomes at the point of care. This of course, will require documentation by all users and all settings to be interoperable and connected. There are a number of steps that EHR developers and providers need to consider and take to get to move closer to providing patient-centric care.

http://t.co/EsWTn10Jd5

Three panel sessions at the Body Computing Conference were focused on Wearable Sensors, and brought together the thought leaders in the exploding mHealth segment.

A lot of the focus in wearable computing has been on delivering products that help everyday users monitor some of the more basic activity traits, such as steps taken and heart rate. While these are certainly useful metrics for health monitoring, they do not paint the full picture.

Computational biologists instead study the chemical changes that occur in people’s bodies with the help of optical sensors, non-invasive devices that use the red-to-near-infrared spectral region to assess the chemical changes that occur in the user’s blood vessels, among other places.

By leveraging this cutting-edge technology and wearable computing, we are equipped to understand the changes that occur in a person’s body at a whole new level. The implications of this change span from improved training of athletes to better management of chronic diseases and healthcare.

Can big data predict heart disease before today’s doctors can? IBM thinks so.

IBM is  joined by Sutter Health and Geisinger Health Systems, in using big data analytics to detect the signs of heart disease years earlier than we can today.

The research, which started back in 2009, will comb through patients’ electronic health records, using data like demographics, medical history, and medication to find common signals indicative of heart disease. If things go right, the insights from the analysis will eventually be integrated into primary care, which should make it easier for doctors to predict which patients are at highest risk for the disease.

The research couldn’t come at a better time. Heart disease is the leading cause of death and hospitalization in the U.S., affecting 5.7 million people today. Half of those diagnosed with it die within five years — largely because by the time doctors detect the disease, it’s already done irreversible organ damage.

Read more at http://venturebeat.com/2013/10/09/ibm-wants-to-use-big-data-to-predict-heart-disease-long-before-it-strikes/

Au CES en janvier prochain, les objets connectés seront omniprésents.