How to apply the Spectral Pulse Analysis (PMA 2.3 software) in the

Transcription

How to apply the
Spectral Pulse Analysis
(PMA 2.3 software)
in the monitoring of diabetes patients
By
Sergey Fedotov
Pulse Academy
Saint-Petersburg branch
April 16, 2015
Saint-Petersburg
Russia
2
1. Introduction
Thanks to dear Mr. Huamin Li ([email protected]) - our partner in China, the
Pulse Academy had got readings of 95 patients with data of blood glucose level,
systolic and diastolic pressure.
Here in present research we have made investigation of possibility to find
association of the Five Elements theory of pulse spectral analysis with western
approach of biophysical data. For those readers who can not accept seriously the
Five Elements Theory of Traditional Chinese medicine (this classification is saved
in pulse spectral analysis of the Pulse Academy), we propose to percept each
Chinese Qi as an electromagnetic vibration of some definite parameters of
frequencies, phases and amplitudes. By this words we would like to stress, that our
research is absolutely physical investigation – each Qi in our analysis is
represented by energy of proper vibrations calculated on the base of common used
formula accepted in spectral analysis.
2. The rest points
For evaluation of patients with help of Pulse Metabolic Analysis (PMA) software
we used 3 types of readings.
A – reading of “Tension” parameter – the indicator of stress of patient in the
PMA software:
Fig. 1
“Tension” was taken as maximal of 2 readings (for Yin or for Yang system)
independently on direction of inclination. At example in Fig. 1 “Tension” is 50%.
Pulse Academy
25-B Komsomolskaya St., App. 24, Vladivostok, 690002, Russia
www.pulse-academy.org; e-mail: [email protected]; Phone +7-911-956-2653
All rights reserved by Sergei Petrovich Fedotov (the Author)
3
B - PMA Disease Index - % of correlation analysis based on ideal distribution of
energies of 12 main meridians in Traditional Chinese Medicine (TCM). The chart
of Qi distribution is represented in Manual:
http://pulse-academy.org/files/TheNormalfiguresofOfPMA_EN.pdf
It looks as follow:
Fig. 2
Where:
GB – Gall Bladder (OH- ion);
LR - Liver (Ca++ ion);
SI - Small Intestine (Mg++ ion);
HT - Heart (K+ ion);
ST - Stomach (Na+ ion);
SP - Spleen (OH- ion)
LI - Large Intestine (K+ ion);
LU - Lungs (Mg++ ion);
BL - Urinary Bladder (Ca++ ion);
KI - Kidneys (Na+ ion)
TE – Triple Burner (H+ ion);
PC - Pericardium (H+ ion)
On the base of above represented chat the correlation base was created. Correlation
base was used to compare the ideal distributions of energies with appropriate
Pulse Academy
4
energies of patient. If the similarity of energy distribution is low, the PMA Disease
Index has tendency have more high figures in the whole range of results. And
vice-versa, low figures in range of results indicate tendency to health.
C - PMA Glucose Index - % of correlation analysis based on distributions of
energies for patients with high level of Glucose. The higher PMA Glucose Index
indicates more high possibility of Glucose in blood
3. Normalization of PMA and Medical indexes
PMA data: Tension Index (TI), PMA Disease Index (DI) and PMA Glucose Index
(GI) have been normalized – all data was proportionally transformed to take a
range from 0% to 100%.
The same modification of Glucose level, Systolic and Diastolic pressure was made
too. It was found the tolerance range data and all readings have been also
transformed to take the diapason from 0% to 100%.
Then 3 normalized parameters of PMA and 3 parameters of Medical data were
transformed in mean values – PMA Integral Index of Disease (IID) and Integral
Medical Index (IMI). These CALCULATED mean values were compared to detect
the scattering value – Match Medical and PMA Indexes (%). It is suggested, the
less scattering value means the more high similarity level to evaluate the condition
of patients.
4. Pulse and medical data of 95 patients
Glucose is divided into 3 groups:
a- Glucose level from 5.56 to 6.07 mmol/L (32 patients) – diabetes is possible
(Green colored field);
b- Glucose level from 6.10 to 6.71 mmol/L (35 patients) – pre-diabetes
condition (Yellow colored field);
c- Glucose level from 6.80 to 11.57 mml/L (38 patients) – diabetes (Red
colored field).
Other data are divided into 3 types of colors (Green, Yellow and Red) to take third
part of the proper range.
Pulse Academy
1
99
0
81
66
49
6.71
145
96
28
49
100
2
79
10
48
67
42
6.33
133
95
25
42
100
3
7
50
6
65
40
9.79
111
73
26
40
100
4
27
35
7
67
36
6.83
128
85
31
37
100
5
96
55
11
23
30
6.33
123
82
0
30
100
6
60
0
76
33
36
5.88
150
80
27
36
99
7
84
25
32
96
51
6.04
141
107
27
50
99
8
44
35
36
66
46
8.71
130
79
27
45
99
9 100 25
29
40
31
6.63
131
75
27
30
99
10 70
20
32
55
36
6.69
130
82
26
35
99
11
8
20
37
51
36
5.97
132
88
23
35
99
12 42
65
11
90
55
7.64
146
95
25
54
99
13 71
45
25
49
40
6.34
149
85
27
41
99
14 81
20
19
68
36
6.11
124
89
25
33
98
15 98
45
9
46
33
6.91
113
84
27
31
98
16 17
30
33
37
33
6.35
138
75
25
31
98
Notes on the base of PMA
readings
Match Medical and PMA
indexes in %
Integral medical index in %
(IMI)
Mass index
Diastolic pressure
Systolic pressure
Glucose
Integral PMA index of disease
(IID)
PMA Glucose index (%) (GI)
PMA Disease index (%) (DI)
Tension index % (TI)
Patient Number
NN
5
Chronic disease. TI= 0%,
but DI= 81%. The patient in
stable disease condition.
Bad prognosis.
Disease in process of
development. TI=10%,
DI=48%
Active process (TI=50%) to
compensate disease
(DI=6%). Good prognosis
compensate disease
compensate disease
Bad prognosis.
Beginning of disease. It can
be easily reversed
be easily reversed
be easily reversed
be easily reversed
be easily reversed
compensate disease
Moderate rate of disease
development.
be easily reversed
be easily reversed
development.
Pulse Academy
17 38
20
83
29
44
6.25
146
88
23
41
98
18 58
50
8
76
45
9.1
148
70
23
48
97
19
3
40
4
57
34
5.98
139
87
20
37
97
20
2
20
8
49
26
6.19
133
76
22
29
97
21 46
50
11
62
41
5.71
143
89
23
38
97
22 66
45
14
53
37
5.98
132
85
29
33
96
23 36
25
8
60
31
6.88
115
76
26
27
95
24
9
20
36
72
43
6.48
152
77
25
38
95
25 65
55
36
70
54
5.85
143
105
0
49
95
26 16
40
85
31
52
10.41 136
80
23
57
95
27 12
70
42
25
46
7.23
155
89
32
51
95
28 32
20
12
61
31
7.23
136
77
24
37
94
29 48
30
49
75
51
5.95
164
87
0
45
94
30 14
20
49
2
24
5.83
131
82
27
30
94
31 82
40
5
70
38
7.09
144
87
23
45
93
32 59
50
81
28
53
5.92
157
92
26
46
93
33 67
35
57
61
51
8.37
128
82
0
44
93
readings
indexes in %
(IMI)
Mass index
Diastolic pressure
Systolic pressure
Glucose
(IID)
Patient Number
NN
6
Beginning of active phase
of disease development. If
there will no treatment the
prognosis is bad
compensate disease
compensate disease
be easily reversed
compensate disease
be easily reversed
be easily reversed
development.
Active rate of disease
development.
development.
Very active rate of disease
development.
be easily reversed
development.
development.
compensate disease
development.
development.
Pulse Academy
(IID)
Glucose
Systolic pressure
Diastolic pressure
Mass index
(IMI)
indexes in %
10
48
65
41
9
128
60
24
34
93
35 63
35
13
88
45
6.07
135
90
24
38
92
36 88
30
26
56
37
7.12
117
77
0
29
92
37
6
10
24
59
31
8.23
136
71
22
39
92
38 43
15
10
89
38
6.39
129
78
23
30
92
39 101 15
75
18
36
6.16
161
85
27
44
92
40 93
50
58
20
43
7.44
127
76
0
34
92
41 78
25
11
48
28
6.02
155
77
0
36
91
42
1
70
3
64
46
7.42
135
76
30
37
91
43 85
25
57
48
43
7.97
120
75
28
34
91
44 64
40
18
99
52
6.23
153
87
17
43
91
45 15
20
53
86
53
6.51
176
102
30
62
91
46 40
85
44
49
59
8.04
146
85
25
50
91
47 25
60
6
71
46
5.59
141
88
30
36
90
48 50
40
11
59
37
5.98
116
84
23
27
90
49 56
10
64
57
44
5.99
134
84
26
33
90
readings
34 76
NN
Patient Number
7
development.
compensate disease
be easily reversed
be easily reversed
be easily reversed
development.
development.
Moderate process (TI=25%)
to compensate disease
Very active process
(TI=70%) to compensate
disease (DI=3). Good
prognosis
development.
be easily reversed
development.
development.
compensate disease
compensate disease
DI=64%
Pulse Academy
(IID)
Glucose
Systolic pressure
Diastolic pressure
Mass index
(IMI)
indexes in %
readings
50 94
15
49
8
24
6.17
129
88
23
35
89
DI=49%
51 41
25
25
94
48
7.21
120
84
26
35
87
52 90
25
51
0
25
5.85
103
70
24
13
87
DI=51%
53 86
15
19
72
35
5.92
119
76
30
22
87
Very active process
prognosis, but it is required
to check more frequently
NN
Patient Number
8
54 23
85
33
49
56
55 34
65
77
61
68
56 20
50
21
83
51
57 35
20
24
69
38
58 49
40
24
41
59 33 100
13
94
60 83
0
61
82
128
74
27
42
86
10.16 124
83
26
53
86
6.99
137
78
0
36
85
6.98
159
92
25
53
85
35
8.14
147
84
26
50
85
69
7.49
138
100
24
53
85
48
8.97
6.25
133
80
27
32
84
development. Bad
prognosis
compensate disease
compensate disease
Very active process
prognosis
Bad prognosis.
Pulse Academy
(IID)
Glucose
Systolic pressure
Diastolic pressure
Mass index
(IMI)
indexes in %
45
11
73
43
5.56
125
82
25
26
83
62 75
55
13
71
46
6.27
137
74
27
30
83
63 61
20
24
67
37
5.59
161
106
23
54
83
64 54
40
70
48
53
5.91
134
87
27
35
82
65 24
50
8
85
48
8.21
153
106
30
67
81
66 19
30
81
80
64
6.24
171
78
30
44
80
67 91
55
82
29
55
6.34
138
82
36
35
80
68
4
30
16
65
37
6.1
113
69
19
17
80
69 68
20
73
69
54
7.1
144
69
24
34
80
70
5
40
12
53
35
6.26
120
59
28
14
79
71 28
50
6
67
41
11.23 143
79
23
64
77
72 74
95
5
73
58
6.41
125
86
29
34
76
readings
61 51
NN
Patient Number
9
compensate disease
compensate disease
development. Bad
prognosis
compensate disease
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
compensate disease
compensate disease
Very active process
prognosis
Pulse Academy
75
51
5.93
149
66
24
(IMI)
Mass index
Diastolic pressure
Systolic pressure
Glucose
(IID)
13
27
readings
65
indexes in %
73 73
Patient Number
NN
10
76
Very active process
prognosis
Very active process
prognosis
74 13 100
6
55
54
8.35
100
70
27
26
72
75 69
75
89
57
74
6.39
155
89
0
46
72
76 104 10
57
47
38
7.2
92
60
24
10
72
77 45
85
13
71
56
5.95
127
80
27
28
71
78 30
70
55
55
60
6.2
131
81
25
31
71
79 18
20
62
50
44
5.9
115
67
25
15
71
80 31
10
63
46
40
5.98
186
111
0
69
71
81 47
0
37
56
31
9.51
139
92
24
61
70
82 57
80
65
68
71
6.26
137
91
24
40
69
83 26
70
51
54
58
6.24
121
79
0
27
68
84 89
45
68
58
57
5.98
128
73
26
24
67
development. Bad
prognosis
development. Bad
prognosis
Very active process
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
Pulse Academy
(IID)
Glucose
Systolic pressure
Diastolic pressure
Mass index
(IMI)
indexes in %
55
73
29
52
6.22
113
71
23
19
67
86 72
50
72
80
67
8.24
121
70
23
33
66
87 29
40
19
93
51
6.03
126
61
24
16
65
88 92
75
77
37
63
6.02
121
80
25
26
63
89 22
30
66
78
58
7.68
106
65
24
21
63
90 97
60
44
58
54
6.51
102
70
26
16
62
91 55 100
73
74
82
5.93
154
89
24
43
61
92 21
30
79
68
59
5.91
118
71
29
19
60
93 62
65
84
39
63
6.23
107
75
23
19
57
94 37
70
71
39
60
5.93
107
73
21
16
56
95 103 100
84
69
84
5.99
126
71
25
22
38
readings
85 95
NN
Patient Number
11
development. Bad
prognosis
development. Bad
prognosis
compensate disease
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
development. Bad
prognosis
Table 1
On the base of the Table 1 above we have built the circle diagram of Match
Medical and PMA Indexes:
Pulse Academy
12
Fig.3
5. Discussion of the data
- 68 % of PMA Indexes match with Medical Indexes at scattering range less
then 20%;
- Usually PMA Index of disease is more rigorous to the condition of patients
than Medical Index, but there are eight patients with lower PMA indexes of
disease (we are interested especially in readings that have scattering range at
10% and more):
Pulse Academy
NN
Patient Number
PMA Disease index
(%) (DI)
PMA Glucose index
(%) (GI)
Integral PMA index of
disease (IID)
Glucose
Systolic pressure
Diastolic pressure
Mass index
Integral medical
index in % (IMI)
Match Medical and
PMA indexes in %
PMA lower Indexes
13
1
47
0
37
56
31
9.51
139
92
24
61
70
-30
2
31
10
63
46
40
5.98
186
111
0
69
71
-29
3
28
50
6
67
41
11.2
3
143
79
23
64
77
-23
4
24
50
8
85
48
8.21
153
106
30
67
81
-19
5
61
20
24
67
37
5.59
161
106
23
54
83
-17
6
49
40
24
41
35
8.14
147
84
26
50
85
-15
7
35
20
24
69
38
6.98
159
92
25
53
85
-15
8
94
15
49
8
24
6.17
129
88
23
35
89
-11
Table 2
Let’s study these cases in the Table 2 above. Up to the opinion of the Author,
the decreasing factors of calculated “Integral PMA disease Index” (IDI) are
PMA readings of “Tension Index” (TI) and “PMA Disease Index” (DI). The
point is that these 2 indexes show dynamic of illness process.
- If there is high (TI) and (DI) – the disease will become deeper;
- If there is high (TI), but lower (DI) – the process of straggle with disease
have a place and prognosis is good;
Pulse Academy
14
- If there is low (TI), but high (DI) – the illness process may be stagnant and
take a chronic type that can be cured with difficulties;
- If there is low (TI) and (DI) – usually there is no health problems.
For the samples in Table 2 we can see low TI or DI readings and it means the
following ways of disease development:
- for patients NN 28, 24, 61, 49, 35 the prognosis to be cured is good – the DI
is low at relatively high TI. It is a compensation reaction of treatment or life
power of patients. It is obviously, the period of treatment will depend on
PMA Glucose Index (GI). The more high readings will require the more
long period of regeneration;
- for patients NN 47, 31, 94 the treatment will be more difficult and disease
will develop unless proper treatment is applied;
- Readings of last 14 patients in the Table 1 above with similarity of PMA and
Medical Indexes less then 70% (30% range of data scattering) in fact have more
vigorous PMA Indexes as signs of bad prognosis. It means Medical readings DO
NOT SEE the dangerous development of disease and proper preventive steps will
not be taken, especially for patients 89, 29, 92, 94, 95 with relatively good Medical
readings.
- PMA Indexes revealed clearly that diabetes has several types. In our research we
calculated the PMA Glucose Index for the condition that is associated with severe
glucose level in blood. It is evidently, that Diabetes is dynamic, complicated
process with many stages. More detailed classification of Diabetes types is
possible on the base of additional work.
6. Final conclusion
Up to opinion of the Author of present research, the PMA Indexes for the given
number of patients are more accurate then Medical Indexes. As you could see 15
last patient have more strong Indexes from the point of view of hazard assessment
of disease. The Medical Indexes are turned weaker. In reality 100% of PMA
Indexes have accuracy not less then 70% (plus or minus 15%). In comparing with
USA FDA requirements when only 90% of readings must have accuracy plus or
minus 20%, PMA Indexes allows to get better monitoring result with additional
benefit to have dynamic prognosis of disease development, automatic data
presentation, high adaptability to introduce the technology into telemedicine
industry.
Pulse Academy

How to apply the Spectral Pulse Analysis (PMA 2.3 software) in the

Transcription

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