{"action":"closed","number":42,"pull_request":{"url":"https://api.github.com/repos/NightscoutFoundation/xDrip/pulls/42","id":96830142,"html_url":"https://github.com/NightscoutFoundation/xDrip/pull/42","diff_url":"https://github.com/NightscoutFoundation/xDrip/pull/42.diff","patch_url":"https://github.com/NightscoutFoundation/xDrip/pull/42.patch","issue_url":"https://api.github.com/repos/NightscoutFoundation/xDrip/issues/42","number":42,"state":"closed","locked":false,"title":"Tzachi compare cgms","user":{"login":"tzachi-dar","id":7942372,"avatar_url":"https://avatars.githubusercontent.com/u/7942372?v=3","gravatar_id":"","url":"https://api.github.com/users/tzachi-dar","html_url":"https://github.com/tzachi-dar","followers_url":"https://api.github.com/users/tzachi-dar/followers","following_url":"https://api.github.com/users/tzachi-dar/following{/other_user}","gists_url":"https://api.github.com/users/tzachi-dar/gists{/gist_id}","starred_url":"https://api.github.com/users/tzachi-dar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tzachi-dar/subscriptions","organizations_url":"https://api.github.com/users/tzachi-dar/orgs","repos_url":"https://api.github.com/users/tzachi-dar/repos","events_url":"https://api.github.com/users/tzachi-dar/events{/privacy}","received_events_url":"https://api.github.com/users/tzachi-dar/received_events","type":"User","site_admin":false},"body":"Not 100% xdrip, but something that I think that many in the community will find interesting:\r\n\r\nThis is a small utility that can be used to compare CGMS.\r\nIt reads data from:\r\n1) Finger pricks (freestyle light).\r\n2) xDrip (better be follower, so calibrations don't disturb the data).\r\n3) Libre (the program shows the difference between actual reading, and interpreted readings).\r\n\r\nAn example to the output:\r\n\r\nFinal results\r\nFinger Pricks                  xdrip results                    libre results\r\n27/11/2016 20:13  108    106.6 1.5 (sensor age = 2.9)                      87.0 4.0\r\n27/11/2016 23:37  217    119.2 0.4 (sensor age = 3.0)                     202.0 2.0\r\n28/11/2016 02:52  209    281.3 0.4 (sensor age = 3.2)                    179.0 10.0\r\n28/11/2016 07:18   94    117.4 1.4 (sensor age = 3.3)       45.0 5.0  (interpulated)\r\n28/11/2016 08:48   46        ------------------------       68.0 4.0  (interpulated)\r\n28/11/2016 13:46   82    142.1 4.5 (sensor age = 3.6)                    126.0 12.0\r\n28/11/2016 13:52   74    121.9 0.5 (sensor age = 3.6)                     106.0 6.0\r\n28/11/2016 20:38  251    202.7 1.5 (sensor age = 3.9)                     247.0 6.0\r\n28/11/2016 21:56   76     97.7 4.5 (sensor age = 4.0)                      66.0 1.0\r\n28/11/2016 22:07  116     76.1 0.5 (sensor age = 4.0)                     65.0 10.0\r\n28/11/2016 23:02  127     71.6 0.5 (sensor age = 4.0)      125.0 2.0  (interpulated)\r\n29/11/2016 00:42  196    150.4 0.5 (sensor age = 4.1)                     177.0 1.0\r\n29/11/2016 02:32  106     97.0 0.5 (sensor age = 4.1)                      81.0 5.0\r\n29/11/2016 03:20   91     79.6 3.5 (sensor age = 4.2)       76.0 4.0  (interpulated)\r\n29/11/2016 07:18  140     46.4 1.5 (sensor age = 4.3)                     102.0 1.0\r\n29/11/2016 09:09  256    204.6 2.6 (sensor age = 4.4)      277.0 7.0  (interpulated)\r\n29/11/2016 12:51  232    268.8 9.6 (sensor age = 4.6)                     279.0 1.0\r\n29/11/2016 13:42  131    176.3 0.5 (sensor age = 4.6)                     151.0 1.0\r\n29/11/2016 16:58  242    187.2 1.6 (sensor age = 4.7)                    250.0 10.0\r\n29/11/2016 20:12  116    125.9 0.5 (sensor age = 4.9)                     164.0 1.0\r\n29/11/2016 22:40  189    111.8 3.5 (sensor age = 5.0)                     179.0 1.0\r\n30/11/2016 02:10  223    189.6 3.5 (sensor age = 5.1)                     199.0 2.0\r\n30/11/2016 06:50  183    198.6 3.5 (sensor age = 0.2)                     152.0 2.0\r\n30/11/2016 06:51  254    198.6 4.5 (sensor age = 0.2)                     152.0 3.0\r\n30/11/2016 12:16  197    299.0 4.7 (sensor age = 0.4)     247.0 11.0  (interpulated)\r\n30/11/2016 13:44   55    113.5 2.6 (sensor age = 0.5)       81.0 9.0  (interpulated)\r\n30/11/2016 16:20  120    215.6 3.6 (sensor age = 0.6)                     152.0 1.0\r\n01/12/2016 01:28  174    222.1 1.5 (sensor age = 1.0)                     163.0 1.0\r\n01/12/2016 03:38  113    137.7 1.5 (sensor age = 1.1)                      93.0 6.0\r\n01/12/2016 06:10  144    164.7 3.5 (sensor age = 1.2)      146.0 4.0  (interpulated)\r\n01/12/2016 06:53  135    168.0 1.5 (sensor age = 1.2)                     134.0 1.0\r\n01/12/2016 13:16  210    201.4 4.6 (sensor age = 1.5)      232.0 9.0  (interpulated)\r\n01/12/2016 17:38  208    185.2 1.6 (sensor age = 1.6)      224.0 1.0  (interpulated)\r\n01/12/2016 19:29  179    153.2 2.6 (sensor age = 1.7)      205.0 7.0  (interpulated)\r\n01/12/2016 20:15  111    108.7 3.5 (sensor age = 1.7)      127.0 7.0  (interpulated)\r\n01/12/2016 20:37  108     77.8 0.6 (sensor age = 1.8)                    109.0 12.0\r\n02/12/2016 02:05  155    120.6 3.6 (sensor age = 2.0)                     176.0 2.0\r\n02/12/2016 04:24  231    179.0 2.7 (sensor age = 2.1)                     237.0 1.0\r\n02/12/2016 07:16  132     55.7 4.7 (sensor age = 2.2)                    140.0 11.0\r\n02/12/2016 08:34  150     74.1 2.7 (sensor age = 2.3)     203.0 11.0  (interpulated)\r\n02/12/2016 13:06  155    180.0 4.6 (sensor age = 2.4)                     190.0 3.0\r\n02/12/2016 13:09  139    213.7 2.6 (sensor age = 2.4)                     190.0 6.0\r\n02/12/2016 19:20  233    250.8 3.6 (sensor age = 2.7)     273.0 10.0  (interpulated)\r\n02/12/2016 20:24   72    125.4 2.6 (sensor age = 2.8)       ------------------------\r\n03/12/2016 01:52  108    146.5 0.7 (sensor age = 0.0)                     101.0 2.0\r\n03/12/2016 05:46  322    301.1 4.7 (sensor age = 0.2)      350.0 5.0  (interpulated)\r\n03/12/2016 08:56  105     81.5 4.7 (sensor age = 0.3)       ------------------------\r\n03/12/2016 14:31   68     75.1 4.8 (sensor age = 0.6)       ------------------------\r\n03/12/2016 23:26  173     97.2 4.7 (sensor age = 0.9)                     161.0 1.0\r\n04/12/2016 02:35  180    171.5 3.7 (sensor age = 1.1)                     163.0 6.0\r\n04/12/2016 02:36  175    171.5 4.7 (sensor age = 1.1)                     163.0 7.0\r\n04/12/2016 06:13  148    110.5 1.7 (sensor age = 1.2)                    122.0 11.0\r\n04/12/2016 13:28  223    233.0 1.7 (sensor age = 1.5)                     269.0 6.0\r\n04/12/2016 14:15  100    150.8 3.7 (sensor age = 1.5)                     158.0 8.0\r\n04/12/2016 22:18  235    130.2 1.7 (sensor age = 1.9)      241.0 4.0  (interpulated)\r\n05/12/2016 02:53   92     97.6 1.8 (sensor age = 2.1)       94.0 8.0  (interpulated)\r\n05/12/2016 04:01  142     53.2 4.8 (sensor age = 2.1)      142.0 1.0  (interpulated)\r\n05/12/2016 06:25  195     91.8 3.8 (sensor age = 2.2)                     222.0 2.0\r\n05/12/2016 07:42  226    261.2 0.7 (sensor age = 2.3)     240.0 12.0  (interpulated)\r\n05/12/2016 12:49   94    104.6 2.8 (sensor age = 2.5)                      95.0 1.0\r\n05/12/2016 16:12  147    178.4 0.8 (sensor age = 2.6)     162.0 11.0  (interpulated)\r\n05/12/2016 16:49  127    120.0 2.8 (sensor age = 2.7)      131.0 3.0  (interpulated)\r\n05/12/2016 19:31  320    115.9 4.7 (sensor age = 2.8)                     327.0 7.0\r\n05/12/2016 21:39   62     65.4 2.8 (sensor age = 2.9)       77.0 7.0  (interpulated)\r\n05/12/2016 22:10   58     44.8 3.8 (sensor age = 2.9)       47.0 8.0  (interpulated)\r\n06/12/2016 00:49  140     74.7 2.8 (sensor age = 3.0)                     155.0 1.0\r\n06/12/2016 04:34  190    178.8 2.8 (sensor age = 0.1)                     210.0 1.0\r\n06/12/2016 07:00  176    150.9 3.8 (sensor age = 0.2)                     173.0 1.0\r\n06/12/2016 20:13   77     93.1 1.8 (sensor age = 0.8)                     114.0 2.0\r\n06/12/2016 23:26  139     92.8 4.8 (sensor age = 0.9)                     151.0 1.0\r\nxDrip histogram\r\n\r\ntotal objects = 114.0\r\n  < 10% = 23.68421052631579\r\n  < 20% = 15.789473684210526\r\n  < 30% = 21.92982456140351\r\n  others 38.59649122807018\r\n\r\n\r\nxLibre histogram\r\n\r\ntotal objects = 67.0\r\n  < 10% = 41.791044776119406\r\n  < 20% = 28.35820895522388\r\n  < 30% = 11.940298507462687\r\n  others 17.91044776119403\r\n\r\nPlease note that dexcom should probably look better, but IMHO, my transmitter is dying, and sensors don't last more than 2-3 days.","created_at":"2016-12-06T23:39:16Z","updated_at":"2016-12-19T11:44:09Z","closed_at":"2016-12-19T11:44:09Z","merged_at":"2016-12-19T11:44:09Z","merge_commit_sha":"a683b525e295e46bd6c102dd67fec781a440fff1","assignee":null,"assignees":[],"milestone":null,"commits_url":"https://api.github.com/repos/NightscoutFoundation/xDrip/pulls/42/commits","review_comments_url":"https://api.github.com/repos/NightscoutFoundation/xDrip/pulls/42/comments","review_comment_url":"https://api.github.com/repos/NightscoutFoundation/xDrip/pulls/comments{/number}","comments_url":"https://api.github.com/repos/NightscoutFoundation/xDrip/issues/42/comments","statuses_url":"https://api.github.com/repos/NightscoutFoundation/xDrip/statuses/c269e293013ca292c976a462b5dc63b43295e559","head":{"label":"NightscoutFoundation:tzachi-compare-cgms","ref":"tzachi-compare-cgms","sha":"c269e293013ca292c976a462b5dc63b43295e559","user":{"login":"NightscoutFoundation","id":12703066,"avatar_url":"https://avatars.githubusercontent.com/u/12703066?v=3","gravatar_id":"","url":"https://api.github.com/users/NightscoutFoundation","html_url":"https://github.com/NightscoutFoundation","followers_url":"https://api.github.com/users/NightscoutFoundation/followers","following_url":"https://api.github.com/users/NightscoutFoundation/following{/other_user}","gists_url":"https://api.github.com/users/NightscoutFoundation/gists{/gist_id}","starred_url":"https://api.github.com/users/NightscoutFoundation/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NightscoutFoundation/subscriptions","organizations_url":"https://api.github.com/users/NightscoutFoundation/orgs","repos_url":"https://api.github.com/users/NightscoutFoundation/repos","events_url":"https://api.github.com/users/NightscoutFoundation/events{/privacy}","received_events_url":"https://api.github.com/users/NightscoutFoundation/received_events","type":"Organization","site_admin":false},"repo":{"id":69027651,"name":"xDrip","full_name":"NightscoutFoundation/xDrip","owner":{"login":"NightscoutFoundation","id":12703066,"avatar_url":"https://avatars.githubusercontent.com/u/12703066?v=3","gravatar_id":"","url":"https://api.github.com/users/NightscoutFoundation","html_url":"https://github.com/NightscoutFoundation","followers_url":"https://api.github.com/users/NightscoutFoundation/followers","following_url":"https://api.github.com/users/NightscoutFoundation/following{/other_user}","gists_url":"https://api.github.com/users/NightscoutFoundation/gists{/gist_id}","starred_url":"https://api.github.com/users/NightscoutFoundation/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NightscoutFoundation/subscriptions","organizations_url":"https://api.github.com/users/NightscoutFoundation/orgs","repos_url":"https://api.github.com/users/NightscoutFoundation/repos","events_url":"https://api.github.com/users/NightscoutFoundation/events{/privacy}","received_events_url":"https://api.github.com/users/NightscoutFoundation/received_events","type":"Organization","site_admin":false},"private":false,"html_url":"https://github.com/NightscoutFoundation/xDrip","description":"Nightscout 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