Deans' stroke musings

Changing stroke rehab and research worldwide now.Time is Brain!Just think of all the trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 493 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It's quite disgusting that this information is not available from every stroke association and doctors group.
My back ground story is here:http://oc1dean.blogspot.com/2010/11/my-background-story_8.html

Thursday, February 16, 2017

Sports Equipment Sensors Send Data Directly to Coach’s Smartphones

With any brains at all in the stroke medical world we could embed these sensors in our shoes and attach to various parts of our legs and get objective readings of how bad our walking is. With that we could get protocols to address the problems and get much closer to 100% recovery. This will never occur since we have no one with any brains at all in stroke leadership. We are fucking screwed forever.
http://www.rdmag.com/article/2017/02/sports-equipment-sensors-send-data-directly-coachs-smartphones?

Coaches, players and fans may soon be entering into the dawning of a new age of sports analytics with sensor-based equipment that can send data directly to a smartphone.
Researchers at the University of Illinois at Urbana-Champaign have utilized inexpensive Internet of Things (IoT) devices, which are low-cost sensors and radios that can be embedded into sports equipment like balls, rackets and shoes, as well as utilized as wearable devices.
With sensors placed in sports equipment, coaches will be able to track how fast the ball is moving or how players move across the field—a key component of how they make adjustments in-game and how fans view the games, without having to outfit stadiums and arenas with expensive cameras.
“There's a lot of interest in analyzing sports data though high-speed cameras but a system can cost up to $1 million to implement and maintain,” Mahanth Gowda, a Ph.D. candidate in computer science and lead author of the study, said in a statement. “It's only accessible to big clubs.
“We want to cut down the expense significantly by replacing cameras with Internet of Things devices to make it possible for many other organizations to use the technology,” he added.
The devices cost less than $100 each.
The team was able to develop advanced motion tracking algorithms from the various incomplete and noisy measurements of inertial measurement unit (IMU) sensors and wireless radios, fitted inside a ball and players’ shoes.
The tiny sensors, which are wrapped in a protective case and distributed evenly in equipment, use inferencing algorithms to track movement within a few centimeters, while also accurately characterizing 3D ball motion, such as trajectory, orientation and revolutions per second.
“This level of accuracy and accessibility could help players in local clubs read their own performance from their smartphones via Bluetooth or school coaches could offer quantifiable feedback to their students,” Roy Choudhury, an associate professor of electrical and computer engineering and computer science at Illinois, said in a statement.
The feedback could also help with detecting and analyzing player injuries like concussions.
For example, the sensor inside a soccer ball can measure how hard it hits a player’s head, giving coaches an indication about whether to treat the player for a possible concussion.
“We've truly scratched the surface for applications with these sensors,” Gowda said. “The algorithms provide extremely fine-grained detail and accuracy in measurements, but use common measuring tools that can be found in any smartphone.”
The plan originally studied the 3D trajectory and spin parameters of a cricket ball. However, the researchers believe the core motion tracking techniques can be adopted in many different sports analytics, a burgeoning market.
“We're motivated to develop this technology to help coaches make better decisions on and off the field and provide enhanced entertainment to viewers,” Choudhury said. “We want to bring advanced but affordable sports analytics to everyone, anywhere, anytime.” 

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