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Dexcom Inc cgm sensor
Overview of glucose wavelets during night and in postprandial period in growing pigs depending of the diet composition. Two meal test procedures (meal distribution at 0900 h) were conducted either with a high starch meal (A – HS, n = 6 pigs) or a high-fat meal (B – HF, n = 7 pigs). During the preceding night, pigs have no access to food. Glucose values were read every 5 min from a continuous glucose monitoring <t>(CGM)</t> <t>sensor,</t> and computed for the night and the period starting 15 min before and lasting for 3 h following the distribution of the morning meal test.
Cgm Sensor, supplied by Dexcom Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cgm sensor/product/Dexcom Inc
Average 86 stars, based on 1 article reviews
cgm sensor - by Bioz Stars, 2026-05
86/100 stars

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1) Product Images from "A pilot study testing a continuous glucose monitoring sensor in lean growing pigs fed contrasting diets, to document nocturnal and diurnal glycemic excursions as well as their relationships"

Article Title: A pilot study testing a continuous glucose monitoring sensor in lean growing pigs fed contrasting diets, to document nocturnal and diurnal glycemic excursions as well as their relationships

Journal: Veterinary and Animal Science

doi: 10.1016/j.vas.2026.100612

Overview of glucose wavelets during night and in postprandial period in growing pigs depending of the diet composition. Two meal test procedures (meal distribution at 0900 h) were conducted either with a high starch meal (A – HS, n = 6 pigs) or a high-fat meal (B – HF, n = 7 pigs). During the preceding night, pigs have no access to food. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor, and computed for the night and the period starting 15 min before and lasting for 3 h following the distribution of the morning meal test.
Figure Legend Snippet: Overview of glucose wavelets during night and in postprandial period in growing pigs depending of the diet composition. Two meal test procedures (meal distribution at 0900 h) were conducted either with a high starch meal (A – HS, n = 6 pigs) or a high-fat meal (B – HF, n = 7 pigs). During the preceding night, pigs have no access to food. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor, and computed for the night and the period starting 15 min before and lasting for 3 h following the distribution of the morning meal test.

Techniques Used: Starch

Overview of glucose wavelets overnight and the day in growing pigs fed high-starch based dietary formula. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor. Feed was removed at 1700 h and nocturnal events were computed from 2100 h to 0655 h. During the day after (0700 h-2055 h), pigs had free access to the food that was distributed twice in the day. The data were computed for night 2 and day 3 for pigs ( n = 5) fed a 75 % high starch / 25 % high fat regimen.
Figure Legend Snippet: Overview of glucose wavelets overnight and the day in growing pigs fed high-starch based dietary formula. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor. Feed was removed at 1700 h and nocturnal events were computed from 2100 h to 0655 h. During the day after (0700 h-2055 h), pigs had free access to the food that was distributed twice in the day. The data were computed for night 2 and day 3 for pigs ( n = 5) fed a 75 % high starch / 25 % high fat regimen.

Techniques Used: Starch



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Overview of glucose wavelets during night and in postprandial period in growing pigs depending of the diet composition. Two meal test procedures (meal distribution at 0900 h) were conducted either with a high starch meal (A – HS, n = 6 pigs) or a high-fat meal (B – HF, n = 7 pigs). During the preceding night, pigs have no access to food. Glucose values were read every 5 min from a continuous glucose monitoring <t>(CGM)</t> <t>sensor,</t> and computed for the night and the period starting 15 min before and lasting for 3 h following the distribution of the morning meal test.
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BITalino (r)evolution biosignal acquisition board.

Journal: Data in Brief

Article Title: Physiological responses to emotional video stimuli: ECG, EDA, and temperature data

doi: 10.1016/j.dib.2026.112720

Figure Lengend Snippet: BITalino (r)evolution biosignal acquisition board.

Article Snippet: Data collection , Data collection was performed using BITalino (r)evolution boards (PLUX Wireless Biosignals, S.A.), which recorded ECG, EDA, skin temperature, and accelerometer signals. Participants wore the NK-G04E-VR Virtual Reality Glasses during the experiment to view 18 emotionally evocative videos designed to elicit a range of emotions. Data were captured at a 1000 Hz sampling rate and stored with timestamps. Demographic data (age, gender, health conditions) were also collected. Participants were healthy adults, and those with neurological disorders were excluded. No data normalization was applied..

Techniques:

Mobile application (BitalinoScientiSST) interface used during data acquisition. (a) The main acquisition screen is used to start and stop recording after the participant ID is entered. (b) The Bluetooth device discovery and pairing screen is used to connect the BITalino device. (c) New-segment action used immediately before each video stimulus to split the session into stimulus-aligned recordings. (d) Example of the acquisition screen after creating a new segment for the next stimulus. Pressing New creates a new output file bitalino_n.txt ( n = 1 to 18), with one file per video clip, matching the file organisation described in the Data Description section.

Journal: Data in Brief

Article Title: Physiological responses to emotional video stimuli: ECG, EDA, and temperature data

doi: 10.1016/j.dib.2026.112720

Figure Lengend Snippet: Mobile application (BitalinoScientiSST) interface used during data acquisition. (a) The main acquisition screen is used to start and stop recording after the participant ID is entered. (b) The Bluetooth device discovery and pairing screen is used to connect the BITalino device. (c) New-segment action used immediately before each video stimulus to split the session into stimulus-aligned recordings. (d) Example of the acquisition screen after creating a new segment for the next stimulus. Pressing New creates a new output file bitalino_n.txt ( n = 1 to 18), with one file per video clip, matching the file organisation described in the Data Description section.

Article Snippet: Data collection , Data collection was performed using BITalino (r)evolution boards (PLUX Wireless Biosignals, S.A.), which recorded ECG, EDA, skin temperature, and accelerometer signals. Participants wore the NK-G04E-VR Virtual Reality Glasses during the experiment to view 18 emotionally evocative videos designed to elicit a range of emotions. Data were captured at a 1000 Hz sampling rate and stored with timestamps. Demographic data (age, gender, health conditions) were also collected. Participants were healthy adults, and those with neurological disorders were excluded. No data normalization was applied..

Techniques:

Overview of glucose wavelets during night and in postprandial period in growing pigs depending of the diet composition. Two meal test procedures (meal distribution at 0900 h) were conducted either with a high starch meal (A – HS, n = 6 pigs) or a high-fat meal (B – HF, n = 7 pigs). During the preceding night, pigs have no access to food. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor, and computed for the night and the period starting 15 min before and lasting for 3 h following the distribution of the morning meal test.

Journal: Veterinary and Animal Science

Article Title: A pilot study testing a continuous glucose monitoring sensor in lean growing pigs fed contrasting diets, to document nocturnal and diurnal glycemic excursions as well as their relationships

doi: 10.1016/j.vas.2026.100612

Figure Lengend Snippet: Overview of glucose wavelets during night and in postprandial period in growing pigs depending of the diet composition. Two meal test procedures (meal distribution at 0900 h) were conducted either with a high starch meal (A – HS, n = 6 pigs) or a high-fat meal (B – HF, n = 7 pigs). During the preceding night, pigs have no access to food. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor, and computed for the night and the period starting 15 min before and lasting for 3 h following the distribution of the morning meal test.

Article Snippet: The CGM sensor (Dexcom® G6, Dexcom Inc., San Diego, California) was placed using the applicator provided by the supplier and secured with an adhesive patch attached to the sensor.

Techniques: Starch

Overview of glucose wavelets overnight and the day in growing pigs fed high-starch based dietary formula. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor. Feed was removed at 1700 h and nocturnal events were computed from 2100 h to 0655 h. During the day after (0700 h-2055 h), pigs had free access to the food that was distributed twice in the day. The data were computed for night 2 and day 3 for pigs ( n = 5) fed a 75 % high starch / 25 % high fat regimen.

Journal: Veterinary and Animal Science

Article Title: A pilot study testing a continuous glucose monitoring sensor in lean growing pigs fed contrasting diets, to document nocturnal and diurnal glycemic excursions as well as their relationships

doi: 10.1016/j.vas.2026.100612

Figure Lengend Snippet: Overview of glucose wavelets overnight and the day in growing pigs fed high-starch based dietary formula. Glucose values were read every 5 min from a continuous glucose monitoring (CGM) sensor. Feed was removed at 1700 h and nocturnal events were computed from 2100 h to 0655 h. During the day after (0700 h-2055 h), pigs had free access to the food that was distributed twice in the day. The data were computed for night 2 and day 3 for pigs ( n = 5) fed a 75 % high starch / 25 % high fat regimen.

Article Snippet: The CGM sensor (Dexcom® G6, Dexcom Inc., San Diego, California) was placed using the applicator provided by the supplier and secured with an adhesive patch attached to the sensor.

Techniques: Starch