Final Time Project

Final Time Project

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Mahi Hangs the Cape! 20/08/2020

https://www.infinitlibrary.com/post/mahi-hangs-the-cape

Mahi Hangs the Cape! “Thanks a lot for ur love and support throughout. from 1929hrs (15th Aug 2020) consider me as retired," Dhoni posted on his Instagram. With a lovely song playing in the background “Main Pal do Pal ka Rahi hoon” mahi said Adieu! The reason MSD decided to hang the cape at 19:29 hrs, is the fact ...

Hydroxychloroquine-MYTH BUSTER 23/04/2020

https://www.youtube.com/watch?v=1SS8p6tMgdI

Hydroxychloroquine-MYTH BUSTER Hello everyone today we will discuss about the treatment options given in the covid 19 infection. Now a days hydroxychloroquine is in the news and India is a...

Diabetes mellitus 17/04/2020

https://m.youtube.com/watch?feature=youtu.be&v=PnLnYlqGf3A. Kindly subscribe this channel

Diabetes mellitus About Forget the old concept of age. Who said that you are old just because you had “diabetes”. Age and sugar level are just the numbers and anyone can beat ...

31/05/2019

Freedom from Diabetes
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Diet +/- Diabetes Remission Program - 100% Free of cost

Program start date: 1st July 2019

No. of participant in 1st Phase: 25

Helpline: 9582292288 (WhatsApp)

Email: [email protected]
==================
We are going to start DIET PLUS MINUS DIABETES REMISSION PROGRAM (100% free). We will include 25 participants in this program.
In the second phase, we will add more diabetic patients.
Diet and exercise are the basis of this program.
No medication will be added rather we will remove diabetic medication one by one.
We will select all the participants by lottery method after fulfilling our criteria.
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For joining, please send your request on WhatsApp 9582292288 or email us on [email protected].
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No emergency cases will be entertained.

17/12/2017

Project on:.Effect of wireless Power Transfer on capacitive coupling Human Body communication
based on:health care
The capsule endoscope is being integrated with various kinds of actuators and sensors to form a micromedical robot, and hence, it requires much more energy than before. Wireless power transfer (WPT) is promising to address the energy supply problem, but strictly restricted to keep safe. Human body communication (HBC), a low-power consumption method, can greatly reduce energy for communication. This paper, for the first time, combines HBC with WPT to investigate the possibility of their working together, and focuses on the effects of WPT on the communication effectiveness of HBC. Parameters for both HBC and WPT are set to be those widely studied or even clinically used. The frequencies and peak-peak voltages for HBC were selected as 3 MHz and 3.3 V, and WPT were adjusted from 0 kHz to 1.5 MHz and 0 to 400 V. On the one hand, HBC with fundamental sinusoidal wave was used to study the interaction. The simulation results accord well with the experimental results, and both of them indicate that the HBC signal can be accurately extracted based on IIR notch filter. On the other hand, HBC modulated by binary differential phase shift keying method was utilized. Groups of experiments were conducted, and the received signals were demodulated by improved polarity comparison method. Bit error rate was calculated to be zero in all the studied frequencies and voltages. Results indicate that HBC and WPT can cowork well when integrated in one capsule robot.

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28/11/2017

Project on:advanced insulin bolus advisor based on run-to-run control and case-based reasoning
Based on: healthcare

an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing its performance by providing more adaptability and flexibility. This is achieved by means of applying a retrospective optimization of the insulin bolus therapy using a novel combination of run-to-run (R2R) that uses intermittent continuous glucose monitoring data, and case-based reasoning (CBR). The validity of the proposed approach has been proven by in-silico studies using the FDA-accepted UVa-Padova type 1 diabetes simulator. Tests under more realistic in-silico scenarios are achieved by updating the simulator to emulate intrasubject insulin sensitivity variations and uncertainty in the capillarity measurements and carbohydrate intake. The CBR(R2R) algorithm performed well in simulations by significantly reducing the mean blood glucose, increasing the time in euglycemia and completely eliminating hypoglycaemia. Finally, compared to an R2R stand-alone version of the algorithm, the CBR(R2R) algorithm performed better in both adults and adolescent populations, proving the benefit of the utilization of CBR. In particular, the mean blood glucose improved from 166 ± 39 to 150 ± 16 in the adult populations (p = 0.03) and from 167 ± 25 to 162 ± 23 in the adolescent population (p = 0.06). In addition, CBR(R2R) was able to completely eliminate hypoglycaemia, while the R2R alone was not able to do it in the adolescent population.

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