system for monitoring diabetes

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Principals of thermopuncture diagnosis working system, monitoring and treatment of patients with diabetes. Valery Muzhikov, Phd, CEO of “Med Byte” Ltd. Mail: [email protected] Home Doctor on a mobile phone Gold medal - USA 2009 Silver medal RAVI - Moscow 2009

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We have created a simple and cheap system of monitoring and correction of condition of patients with diabetes through the tiny device in the form of an accessory to the mobile phone. In the basis of the diagnostic test Аkabane. Individual correction is done with the help of the address of influence on certain organs and systems through certain specially calculated point of modulated infrared radiation. All calculations are made on the server. The system is designed for the mass market

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Page 1: System for monitoring diabetes

Principals of thermopuncture diagnosis working system, monitoring and treatment of

patients with diabetes.Valery Muzhikov, Phd, CEO of “Med Byte” Ltd.

Mail: [email protected]

“Home Doctor on a mobile phone

Gold medal - USA 2009Silver medal RAVI - Moscow 2009

Page 2: System for monitoring diabetes

Our history.We work on creation of devices for thermopunctur diagnostics and treatments with 1990г. For this time it is issued more than 10 versions of devices. We have received 14 patents in Russia and abroad, 3 monographies and more than 40 publications are issued. Now under license contracts devices are certificated, made and sold in Europe, Asia, Australia and Russia.

1990 1993 1995 1996

2000

2004

1998

German Patent DE 199 83 992 from 20.01.2009РСТ PCT/RU2006/00567, WO 2008/054235 A1 from 28.05.20082007

Page 3: System for monitoring diabetes

Description of the technology

• Our advantages:• Devices demand no special knowledge;• Gives a reliable result explained from the point

of view of modern physiology;• Easy to mass produce;• Opportunity to forecast a condition for the next

few days in order to address preventive treatment.

MedByte

Over 15 years of work, we have created a new technology for diagnosis and treatment on the basis of the influence on certain information points on fingers modulated with IR-radiation. On the basis of this technology, we have created system estimations of the level of biochemical and physiological parameters of an organism calculated on the basis of individual mathematical models on the training gauging. The treatment is bloodless and painless and gives a predicted result after just 15-20 minutes.Simultaneously, with the help of an estimation of the individual biorhythms of separate organs it is possible to predict the condition of various parameters of an organism for the next few days.

Page 4: System for monitoring diabetes

Basic principles of diagnosis1. Evaluation of pathology according to the channel map profile

The diagnosis of diseases and the control of the general condition are carried out on an estimation of structures of parameters on 12 basic physiological systems of an organism. Thus even simple visual estimation allows the features of each organism to be revealed.

Norm

Pancreatitis

Ischemia of a myocardium

Page 5: System for monitoring diabetes

Basic principles of diagnosis 2. High correlation rate with blood sugar

• Type 2 diabetes, men – channel rates’• Correlation with blood sugar• n observation p p- criteria • 1 143 .079 .940 .174 -.054 -.645 .260• 2 143 -.209 -2.538 .006* -.220 -2.681 .004*• 3 143 -.126 -1.512 .066 -.130 -1.561 .060• 4 143 -.129 -1.549 .062 -.158 -1.896 .030• 5 143 -.216 -2.630 .005* -.227 -2.774 .003*• 6 143 -.262 -3.230 .001* -.250 -3.066 .001*• 7 143 -.238 -2.905 .002* -.227 -2.770 .003*• 8 143 -.265 -3.259 .001* -.272 -3.359 .001*• 9 143 -.273 -3.374 .000* -.266 -3.273 .001*• 10 143 -.113 -1.354 .089 -.234 -2.853 .002*• 11 143 .071 .847 .199 -.076 -.910 .182• 12 143 -.297 -3.687 .000* -.323 -4.051 .000*• 13 143 -.079 -.939 .175 -.037 -.435 .332• 14 143 .046 .547 .293 -.049 -.579 .282• 15 143 -.024 -.290 .386 -.038 -.448 .327• 16 143 -.057 -.679 .249 -.160 -1.924 .028• 17 143 .128 1.532 .064 -.001 -.014 .494• 18 143 .193 2.335 .010* .023 .271 .393• 19 143 .045 .531 .298 -.006 -.069 .472• 20 143 .021 .252 .401 .060 .712 .239• 21 143 -.068 -.804 .211 -.104 -1.245 .108• 22 143 .208 2.524 .006* .070 .835 .203• 23 143 -.111 -1.330 .093 -.185 -2.238 .013*• 24 143 .128 1.527 .065 .032 .381 .352

Correlation with cholesterol

Page 6: System for monitoring diabetes

Basic principles of diagnosis• 3. Making individual and group models to control basic the parameters of the

organism

• Group model of correlation between blood sugar in patients with type 1 diabetes• ---------------------------------------------------------------------------------------------------------------• Channels coefficients mean error t-critic. significance level• ---------------------------------------------------------------------------------------------------------------• constant 23.881392 5.918608 4.0350 0.0005• RPs -6.106297 2.759818 -2.2126 0.0371• Fd 6.432937 1.32788 4.8445 0.0001• Ed -13.91464 4.019018 -3.4622 0.0021• Rd -4.004711 1.893141 -2.1154 0.0454• RPd 5.202921 1.436439 3.6221 0.0014• ---------------------------------------------------------------------------------------------------------------• R-SQ. (ADJ.) = 0.7522 SE= 8.393783 MAE= 5.667226 DurbWat= 1.814• Previously: 0.4522 12.480549 7.979804 1.556• 54 observations fitted, forecast(s) computed for 0 missing val. of dep. var.

• +Data Mining (Accuracy 0,8-0,9)• + NGO (Accuracy 0,7-0,85)

Page 7: System for monitoring diabetes

Basic principles of diagnosis 4. Estimation of specific features of an organism and mechanism indemnification in type 1 diabetes

• Normn Norm

Amosov. Norma

Pd P

sG

ldG

lsM

cdM

csTrd T

rs Cd

Cs

Igd

Igs

Rpd

Rps Fd Fs

Ed E

sV

bdV

bs Rd

Rs

Vd

Vs

0

2

4

6

8

10

12

14

16

Anna. Diabetes I

Pd P

sG

ldG

lsM

cdM

csTrd T

rs Cd

Cs

Igd

Igs

Rpd

Rps Fd Fs

Ed E

sV

bdV

bs Rd

Rs

Vd

Vs

0

2

4

6

8

10

12

14

16

Borgest. Diabetes I

Pd P

sG

ldG

lsM

cdM

csTrd T

rs Cd

Cs

Igd

Igs

Rpd

Rps Fd Fs

Ed E

sV

bdV

bs Rd

Rs

Vd

Vs

0

2

4

6

8

10

12

14

16

Ñðåäí èå ñ î ø èáêàì è èñõî äí û õ ï î ðî ãî â ÷óâñòâèòåëüí î ñòè(í å í î ðì èðî âàí í û õ í à ñóì ì àðí û å äàí í û å)

Norm

Type 1 diabetes with don't preserved-function B-cells

Type 1 diabetes with preserved-function B-cells. These patients were selected on the basis of the test and may be included in the basic research. They are most likely to respond to Leptin treatment and most effectively carry out the forecast state based on an assessment of pancreas biorhythms.

Structures of activity of channels

Page 8: System for monitoring diabetes

Simple way of testing the organism at the level of its separate physiological systems based on an assessment of loss of symmetry. The example of the pancreas (RP) has proved that the temperature pain barrier of the right channel's branch reflects

the total activity of B-cells and the left one – for A-cells

This principle works at the level of all channels, due to its universal nature.

А-cells

Page 9: System for monitoring diabetes

Method of achieving quantitative assessment of the features of the principal organism.Blood sugar level assessment according to the degree of the channels’ misalignment.

dRight

sLeft

11 9

48 6

10 24

6Test of pancreas (RP)

The presence of this atypical test asymmetry along with high levels of blood sugar points to insulin resistance. In these patients, an increase in the level of sugar is due to the high activity of A-cells that produce the contra insulin hormone (Glyukogon). These patients will display the best responses to treatment with Leptin.

Typical type 1 diabetes with partial preservation of function B-cells.

Norm

Page 10: System for monitoring diabetes

Assessing the biorhythmic activity of organs and the physiological system

1

X D a t a

0 2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8 3 0 3 2 3 4 3 6 3 8

Y D

ata

0 . 0

0 . 5

1 . 0

1 . 5

2 . 0

F i r e / W a t e r _ d F i r e / W a t e r _ s

2

X D a t a

0 2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8 3 0 3 2 3 4 3 6

Y D

ata

0 . 0

0 . 5

1 . 0

1 . 5

2 . 0

2 . 5

3 . 0

3

X D a t a

0 2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8 3 0 3 2 3 4 3 6 3 8 4 0 4 2 4 4

Y D

ata

0 . 0

0 . 5

1 . 0

1 . 5

2 . 0

2 . 5

3 . 0

Ä è í à ì è ê à î ò í î ø å í è é F i r e / W a t e r _ d & F i r e / W a t e r _ s â ç à â è ñ è ì î ñ ò è î ò í î ì å ð à è ç ì å ð å í è ÿ

The biorhythmic activity of the pancreas, liver and kidneys over 38 days based on the results of our tests.

Page 11: System for monitoring diabetes

The principal of generating biorhythms in the organ and its channel

Norm∆t>0

∆t=0

The organ does not work

Page 12: System for monitoring diabetes

Basic principals of working system - prognosis of condition organ

Prognosis

Real gauging

Biorhythm

real time at this moment

Page 13: System for monitoring diabetes

Basic principal of working system - prognosis of the condition of organs

T1Rp=5Vbs=16Sugar=6мМoll/l

T2Rp=8Vbs=20Sugar=23 мМоll/l

MODEL: glucose = 8,6xRpd – 2,3xVBs

At different times of the day, due to the varied activity of organs under the action of biorhythms, the blood sugar level also changes.When estimating a biorhythm, it is possible to predict the change in sugar for the next 1-2 days.

Page 14: System for monitoring diabetes

The device functions over a GPRS-connection

IR- sensor for control and treatment

- The device works as an organiser with the creation of an optimum lifecycle for patients with, for example, diabetes.- The device indicates and forecasts blood sugar levels for the current day by means of a real time diagram. The sugar level is shown not in digits but by the thickness of colour on the coloured scale, which makes it easier for a patient to use and understand the information- The system indicates an optimum dose of insulin and the time of injection.- The optimum time for a meal is defined with the help of an estimation of the biorhythms of certain organs and is shown on a screen.- Measurements are made by touching certain acupoints on the fingers and toes using the special gauge with IR sensor sugar- level

Page 15: System for monitoring diabetes

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The concept of displaying the information to the user

Diabetes 1 type

Left Right

Sugar

- +

Norma

SPSP

Time12:30

Sugar prediction

+

-Norma

The screen does not show absolute numerical values of glucose. The level of glucose is shown on a colour scale of varying intensity, as on the diagram. Thus, the device is not a means of metrology, and only shows the tendency in sugar change (much, very much or a little). As required, the user is able to place individual marks on the screen. Furthermore, as soon as a set of sufficient statistics is available, the device can be positioned individually as a glucometer.

high levellow level

Page 16: System for monitoring diabetes

16

The concept of displaying the information to the user

Type 2 diabetes

Time12:30

Sugar prediction

+

-Norma

Sugar

- +Norma

Right

LeftSTSILIVGBDI

LILIVGB

The activity of each organ in an individual model contributes to the formation of blood sugar levels.

Page 17: System for monitoring diabetes

The concept of displaying the information to the user Type 1 diabetes

Time

Sugar prediction

+

-Norma

F diabetes .irst type insulin. Influence of doze

Time

Time12:308:00 14:00

5 units5 units

10 units10 units

The device can be equipped with a system for calculating an optimum dose of insulin and the time of optimum introduction. Diagrams of influence of different doses can be submitted to the user and to his/her doctor for download from the internet. This allows one doctor to supervise the condition of 30-40 patients through the special PC programme on a daily basis.

Page 18: System for monitoring diabetes

System pulse - diagnosis on the basis of three-dimensional analysis of the heart rhythm

Further development of the systemIn the past, Chinese doctors defined the conditions of various organs on the basis of pulse diagnosis. We can also do this by means of pulse diagnosis using a measurement of temperature sensitivity. We developed this system 12 years ago, but its realisation at the time was dependent on a powerful computer and specialised knowledge. Now, the modern mobile phone allows basic calculations to be performed, with periodic transmission of data to a server. Thus, if this principle is realised, the information concerning the activity of different organs will be transmitted to the phone via sensors measuring heart contractions (for example from a special watch (“POLAR”) for controlling the heart rhythm). These data will be processed on individual models on the basis of periodic calibration of the system. In this case, the activity of the channels will be continuously estimated in real time, without the need for frequent gauging.

Rhythm of heart contractions

The special 3D spectral analysis of heart rhythm.

Page 19: System for monitoring diabetes

Heart rhythm spectral component estimation system

Diagram of organ activity over time

Numerical value of organ activity at the present time

Page 20: System for monitoring diabetes

Patents