Oregon Sleep Associates 2228 Nw Pettygrove St Suite 150, Portland, OR 97210
Providence Portland Medical Center 4805 North East Glisan Street, Portland, OR 97213
Legacy Good Samaritan Medical Center 1015 North West 22Nd Avenue W121, Portland, OR 97210
Education:
Medical School Baylor College Of Medicine Graduated: 1991 Medical School Baylor College Of Med Graduated: 1991 Medical School Or Health Science University Hospital Graduated: 1991
Dr. Root graduated from the Baylor College of Medicine in 1991. He works in Portland, OR and specializes in Sleep Medicine. Dr. Root is affiliated with Legacy Good Samaritan Hospital & Medical Center and Providence Portland Medical Center.
Dr. Root graduated from the Temple University School of Medicine in 1999. He works in Bellevue, WA and specializes in Dermatology. Dr. Root is affiliated with Virginia Mason Medical Center.
Root & Williams Mds 7785 N State St STE 330, Lowville, NY 13367 3153765287 (phone), 3153763228 (fax)
Education:
Medical School University of Vermont COM Graduated: 1984
Languages:
English Spanish
Description:
Dr. Root graduated from the University of Vermont COM in 1984. He works in Lowville, NY and specializes in Family Medicine. Dr. Root is affiliated with Lewis County General Hospital.
Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
International Classification:
G01N 33/48
US Classification:
702 19
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method that includes generating, by at least one processor, a data structure comprising a plurality of bins assigned to a plurality of predetermined glucose concentration levels; generating, by the at least one processor, a value representative of a measured glucose concentration level obtained from received sensor data; adding, by the at least one processor, the value to at least one of the plurality of bins, wherein the adding of the value increments an occurrence value for the at least one of the plurality of bins; and analyzing, by the at least one processor, the data structure including the at least one of the plurality of bins and the occurrence value to determine at least one descriptive measurement. Related systems, methods, and articles of manufacture are also disclosed.
Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
Assignee:
DexCom, Inc. - San Diego CA
International Classification:
G06F 19/00
US Classification:
705 3
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method. The method may include selecting at least one module from among a plurality of modules, the selection performed based on metadata including one or more of the following rules: whether the at least one module can be used with a type of device, whether the at least one module can be used with a glycemic state of a host, and whether the at least one module can be used with an expected volume of data generated by the type of device; and generating a report including the selected at least one module configured to present information representative of the glucose concentration level measured in the host. Related systems, methods, and articles of manufacture are also disclosed.
Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
Assignee:
DexCom, Inc. - San Diego CA
International Classification:
G06T 11/20
US Classification:
345440
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method. The method may include generating, by at least one processor, a view comprising an abstraction distilled from the sensor data over a time period. The view may further comprise a graphical representation comprising a plurality of different graphically distinct elements representative of whether the abstraction over the time period is at least one of at, above, or within a predetermined glucose concentration level for a host; a call out comprising value help for the graphical representation, and a textual legend comprising a description of the graphical representation and the abstraction. The method may further include providing the view as a module. Related systems, methods, and articles of manufacture are also disclosed.
- San Diego CA, US Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
International Classification:
G16H 40/63 G06T 11/20 G16H 15/00 G01N 33/48
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method. The method may include selecting at least one module from among a plurality of modules, the selection performed based on metadata including one or more of the following rules: whether the at least one module can be used with a type of device, whether the at least one module can be used with a glycemic state of a host, and whether the at least one module can be used with an expected volume of data generated by the type of device; and generating a report including the selected at least one module configured to present information representative of the glucose concentration level measured in the host. Related systems, methods, and articles of manufacture are also disclosed.
- San Diego CA, US Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
International Classification:
G16H 40/63 G06T 11/20 G16H 15/00 G01N 33/48
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method. The method may include selecting at least one module from among a plurality of modules, the selection performed based on metadata including one or more of the following rules: whether the at least one module can be used with a type of device, whether the at least one module can be used with a glycemic state of a host, and whether the at least one module can be used with an expected volume of data generated by the type of device; and generating a report including the selected at least one module configured to present information representative of the glucose concentration level measured in the host. Related systems, methods, and articles of manufacture are also disclosed.
- San Diego CA, US Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
International Classification:
G16H 40/63 G16H 15/00 G06T 11/20 G01N 33/48
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method that includes generating, by at least one processor, a data structure comprising a plurality of bins assigned to a plurality of predetermined glucose concentration levels; generating, by the at least one processor, a value representative of a measured glucose concentration level obtained from received sensor data; adding, by the at least one processor, the value to at least one of the plurality of bins, wherein the adding of the value increments an occurrence value for the at least one of the plurality of bins; and analyzing, by the at least one processor, the data structure including the at least one of the plurality of bins and the occurrence value to determine at least one descriptive measurement. Related systems, methods, and articles of manufacture are also disclosed.
- San Diego CA, US Justin E. Schumacher - Portland OR, US Daniel N. Root - Portland OR, US
International Classification:
G06F 19/00 G06T 11/20
Abstract:
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method. The method may include generating, by at least one processor, a view comprising an abstraction distilled from the sensor data over a time period. The view may further comprise a graphical representation comprising a plurality of different graphically distinct elements representative of whether the abstraction over the time period is at least one of at, above, or within a predetermined glucose concentration level for a host; a call out comprising value help for the graphical representation, and a textual legend comprising a description of the graphical representation and the abstraction. The method may further include providing the view as a module. Related systems, methods, and articles of manufacture are also disclosed.
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