1 00:00:06,860 --> 00:00:04,550 616 11 we have one two three very 2 00:00:11,930 --> 00:00:06,870 defined lines and three two very defined 3 00:00:15,440 --> 00:00:11,940 peaks in the spectra seven is a bit of a 4 00:00:19,790 --> 00:00:15,450 dud it's an eight point 06 it doesn't 5 00:00:21,710 --> 00:00:19,800 have anything close to a second peak 6 00:00:23,540 --> 00:00:21,720 that's on the double and therefore it 7 00:00:27,589 --> 00:00:23,550 doesn't have a nice second line and that 8 00:00:30,320 --> 00:00:27,599 seems to be the pattern another eight 9 00:00:36,200 --> 00:00:30,330 point 06 and this one has one two three 10 00:00:39,229 --> 00:00:36,210 lines nine is a beautiful one at seven 11 00:00:45,410 --> 00:00:39,239 point eight one one two three lines very 12 00:00:48,680 --> 00:00:45,420 defined 10 and 11 12 qualified to make 13 00:00:56,330 --> 00:00:48,690 this cut by amplitude but but they're 14 00:01:00,680 --> 00:00:56,340 kind of duds relatively 13 7.81 second 15 00:01:04,520 --> 00:01:00,690 line starting to come in 14 out of the 16 00:01:07,130 --> 00:01:04,530 second line and so does 15 if I remember 17 00:01:09,740 --> 00:01:07,140 yep okay so if we could take a look at 18 00:01:11,990 --> 00:01:09,750 this summary we had about eight bursts 19 00:01:14,960 --> 00:01:12,000 at eight point O six seven of them 20 00:01:17,590 --> 00:01:14,970 showed harmonics 6 verse at seven point 21 00:01:21,320 --> 00:01:17,600 eight one half from showed harmonics 22 00:01:22,910 --> 00:01:21,330 remember there was one at 8.3 it's kind 23 00:01:25,190 --> 00:01:22,920 of surprised me in that had the makings 24 00:01:27,020 --> 00:01:25,200 of a harmonic and then just to be 25 00:01:32,870 --> 00:01:27,030 complete I looked at three or four that 26 00:01:34,910 --> 00:01:32,880 would have made the cut on amplitude but 27 00:01:36,920 --> 00:01:34,920 they were too high so I looked at them 28 00:01:39,350 --> 00:01:36,930 not expecting to see anything that was 29 00:01:43,429 --> 00:01:39,360 not my expectation but I did see one at 30 00:01:45,830 --> 00:01:43,439 8.79 that showed those three lines of 31 00:01:49,700 --> 00:01:45,840 harmonics and then I started taking 32 00:01:52,960 --> 00:01:49,710 snapshots at other sessions and there 33 00:01:55,910 --> 00:01:52,970 was also one at 7.4 which surprised me 34 00:01:58,219 --> 00:01:55,920 so that really killed my initial idea 35 00:02:01,490 --> 00:01:58,229 that these harmonics are only going to 36 00:02:03,050 --> 00:02:01,500 happen at eight Hertz so it seems that 37 00:02:04,700 --> 00:02:03,060 bill is more of an independent variable 38 00:02:06,679 --> 00:02:04,710 than I guessed he can do these harmonics 39 00:02:08,359 --> 00:02:06,689 throughout a wide range of frequency it 40 00:02:12,320 --> 00:02:08,369 just tends to do them around eight Hertz 41 00:02:13,780 --> 00:02:12,330 for reasons we could speculate now if we 42 00:02:16,880 --> 00:02:13,790 take a look at the whole 43 00:02:20,510 --> 00:02:16,890 15 samples good and bad and look at the 44 00:02:22,910 --> 00:02:20,520 spectra we get three peaks this 17.8 one 45 00:02:25,850 --> 00:02:22,920 just barely edges out eight point 06 the 46 00:02:27,920 --> 00:02:25,860 double is slightly above double 7.81 and 47 00:02:31,220 --> 00:02:27,930 the triple is triple seven point eight 48 00:02:34,640 --> 00:02:31,230 one and if we magnify that third peak it 49 00:02:37,430 --> 00:02:34,650 is fairly well defined and now the big 50 00:02:39,740 --> 00:02:37,440 drum roll for me was what about the 51 00:02:43,490 --> 00:02:39,750 person in the other room with a cap of 52 00:02:45,320 --> 00:02:43,500 electrodes on them I had done some kind 53 00:02:47,090 --> 00:02:45,330 of sneak peeking kind of quick and dirty 54 00:02:50,600 --> 00:02:47,100 measurements and I thought I am going to 55 00:02:51,949 --> 00:02:50,610 see a nice peak at eight Hertz and now 56 00:02:53,630 --> 00:02:51,959 but now I've really got the goods I've 57 00:02:55,820 --> 00:02:53,640 got exactly the data that I want to see 58 00:02:58,130 --> 00:02:55,830 I want to apply that data through Excel 59 00:03:00,920 --> 00:02:58,140 and pick these data points and see what 60 00:03:02,860 --> 00:03:00,930 I get over there and when I did that I 61 00:03:05,720 --> 00:03:02,870 was very disappointed to see this and 62 00:03:08,420 --> 00:03:05,730 it's pretty undifferentiated it comes to 63 00:03:10,430 --> 00:03:08,430 just kind of this big sweep of theta and 64 00:03:12,860 --> 00:03:10,440 it drags along here's eight Hertz right 65 00:03:14,540 --> 00:03:12,870 about here so that's just a point and I 66 00:03:17,090 --> 00:03:14,550 called J on the phone and I told them 67 00:03:20,140 --> 00:03:17,100 what happened and he said well keep in 68 00:03:22,759 --> 00:03:20,150 mind there can be a delay between 69 00:03:25,430 --> 00:03:22,769 resonator resin ad whatever the right 70 00:03:28,460 --> 00:03:25,440 terminology is so says that you're most 71 00:03:30,830 --> 00:03:28,470 likely to find some kind of a frequency 72 00:03:32,449 --> 00:03:30,840 match on your biggest strongest sample 73 00:03:34,870 --> 00:03:32,459 so I took a look at number six year 74 00:03:38,210 --> 00:03:34,880 that's our longest strong sample and 75 00:03:39,680 --> 00:03:38,220 build out at eight point 06 there and 76 00:03:41,690 --> 00:03:39,690 sure enough there is an eight point 06 77 00:03:44,800 --> 00:03:41,700 peak it's not nearly as dramatic as 78 00:03:46,880 --> 00:03:44,810 bills would be if we take a closer look 79 00:03:49,280 --> 00:03:46,890 here it is right here it's got a little 80 00:03:51,800 --> 00:03:49,290 needle top it's much higher than what 81 00:03:55,220 --> 00:03:51,810 goes before it that theta sweep is 82 00:03:57,380 --> 00:03:55,230 reduced but that's what it is and so 83 00:03:59,390 --> 00:03:57,390 perhaps perhaps they're sharing this 84 00:04:02,900 --> 00:03:59,400 this peak here and that's bills 85 00:04:06,650 --> 00:04:02,910 influence the other two big samples did 86 00:04:09,259 --> 00:04:06,660 not share a peak do not have a not share 87 00:04:12,289 --> 00:04:09,269 of people with Bill sample but given 88 00:04:15,650 --> 00:04:12,299 that this delay idea I took a look at 89 00:04:17,479 --> 00:04:15,660 the end of sample number two and the 90 00:04:19,070 --> 00:04:17,489 subject did have big waves right at the 91 00:04:21,170 --> 00:04:19,080 end of sample too so I think that if 92 00:04:24,050 --> 00:04:21,180 this sample was slightly redefined we'd 93 00:04:26,310 --> 00:04:24,060 have two out of three matches and I took 94 00:04:28,110 --> 00:04:26,320 a look at this number nine here 95 00:04:29,730 --> 00:04:28,120 and no matter what you do with that 96 00:04:31,650 --> 00:04:29,740 that's not going to be a match that's 97 00:04:34,140 --> 00:04:31,660 just that's just not going to work so 98 00:04:35,550 --> 00:04:34,150 you even if you believe they are sharing 99 00:04:39,120 --> 00:04:35,560 a peek I think you also have to believe 100 00:04:41,340 --> 00:04:39,130 that no matter how good a signal bill 101 00:04:44,700 --> 00:04:41,350 might send it would have the ability to 102 00:04:48,390 --> 00:04:44,710 be blocked stop not received our harbors 103 00:04:51,510 --> 00:04:48,400 that should be said and I think I'll end 104 00:04:56,090 --> 00:04:51,520 with taking a look at an image of bill's 105 00:05:01,380 --> 00:04:56,100 full all of these 15 on the by spectrum 106 00:05:36,459 --> 00:05:01,390 and that's the end of my talk that's as 107 00:05:42,139 --> 00:05:39,439 well when I looked at it when I looked 108 00:05:43,519 --> 00:05:42,149 into it a little bit and and day was 109 00:05:45,259 --> 00:05:43,529 looking into a little bit as well or 110 00:05:47,419 --> 00:05:45,269 talking about with me it seems to have a 111 00:05:50,089 --> 00:05:47,429 good amount of variance I think 112 00:05:51,609 --> 00:05:50,099 according to the government agency 113 00:05:55,039 --> 00:05:51,619 there's about a point three hurtz 114 00:05:57,919 --> 00:05:55,049 standard deviation per day or so so you 115 00:06:02,059 --> 00:05:57,929 can see they have little little dots of 116 00:06:03,919 --> 00:06:02,069 ranges and it does range a good deal so 117 00:06:06,469 --> 00:06:03,929 just based on the weather so you'd 118 00:06:08,899 --> 00:06:06,479 expect it yeah yeah so you know what I 119 00:06:11,059 --> 00:06:08,909 would love to know is where you I would 120 00:06:13,669 --> 00:06:11,069 love to know for another time is what 121 00:06:17,119 --> 00:06:13,679 was the frequency at that time on that 122 00:06:18,829 --> 00:06:17,129 day but I didn't anticipate this so I 123 00:06:21,719 --> 00:06:18,839 don't know your research are you 124 00:06:30,450 --> 00:06:26,969 yes from your description i see you use 125 00:06:34,769 --> 00:06:30,460 before you transform Gavin you did it in 126 00:06:44,790 --> 00:06:34,779 Excel no no it is a soccer field Wynn 127 00:06:48,329 --> 00:06:44,800 EEG it's just that I mean yeah you start 128 00:06:50,730 --> 00:06:48,339 on corner having artifacts because of 129 00:06:52,499 --> 00:06:50,740 the short period I mean if you ever 130 00:06:53,999 --> 00:06:52,509 thought by using wavelets or something 131 00:06:57,179 --> 00:06:54,009 cause more that's that's kind of the 132 00:07:00,269 --> 00:06:57,189 next step just because they are this is 133 00:07:01,499 --> 00:07:00,279 little episodic bursts and I I don't 134 00:07:14,380 --> 00:07:01,509 think we're using the perfect tool for 135 00:07:28,450 --> 00:07:23,590 I 136 00:07:31,470 --> 00:07:31,460 personality-wise 137 00:07:36,210 --> 00:07:34,080 if they were there were simply people 138 00:07:38,790 --> 00:07:36,220 who were something about the call dear 139 00:07:47,870 --> 00:07:38,800 to my teammates and do this fun and 140 00:08:01,180 --> 00:07:56,190 personal data from you might want to 141 00:08:01,190 --> 00:08:10,880 they might not display 142 00:08:23,430 --> 00:08:18,590 eight would use TM for about four years 143 00:08:26,310 --> 00:08:23,440 overcome workplace stress and only one 144 00:08:30,300 --> 00:08:26,320 time I practice poisoned 145 00:08:33,450 --> 00:08:30,310 it really did help but only one time I 146 00:08:36,600 --> 00:08:33,460 came really far out and was being 147 00:08:42,750 --> 00:08:36,610 constant where I was but I came back and 148 00:08:51,170 --> 00:08:42,760 my whole body would settle their equal 149 00:08:51,180 --> 00:09:05,620 interesting 150 00:09:05,630 --> 00:09:10,980 to the death 151 00:09:10,990 --> 00:09:18,490 one step 152 00:09:24,350 --> 00:09:22,550 how much yeah I feel like I'm at the 153 00:09:26,389 --> 00:09:24,360 beginning of the beginning I really 154 00:09:31,579 --> 00:09:26,399 intend to that but there's so many good 155 00:09:39,410 --> 00:09:31,589 questions it was great presentation 156 00:09:42,650 --> 00:09:39,420 about 21 1 is how do you determine cause 157 00:09:44,889 --> 00:09:42,660 of death was the human body naturally 158 00:09:47,530 --> 00:09:44,899 being attacked 159 00:09:51,670 --> 00:09:47,540 after my second part could be partly a 160 00:09:54,129 --> 00:09:51,680 question is how do you know the healing 161 00:09:58,150 --> 00:09:54,139 the pumpkin going on in a sad way which