Activity Assay:Article Title: Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning.
Article Snippet: In the follow-up study the interstitial glucose levels were recorded continuously for a second time over 14 days in five participants of the study population and the wearable Empatica E4 was worn for ten days under everyday conditions. .. Taking together the dataset contains information on nutrition, sensor data from Abbott Freestyle Libre continuous glucose monitoring (CGM) and wearables, as well as samples for metabolomics analysis. (b) Experimental sensor placements based on three wearables (BiosignalsPlux, Empatica E4, and Abbott Freestyle Libre CGM), including different sensor modalities, i.e., Body temperature ‘BTEMP’, respiratory rate ‘PZT’, electrooculography ‘EOG’, electrogastrography ‘EGG’, skin temperature ‘STEMP’, electrodermal activity ‘EDA’, blood volume pulse ‘BVP’, and heart rate ‘HR’ (efficient sensor modalities for interstitial glucose prediction are highlighted in green and CGM is highlighted in orange). (c) Standardized meal intervention—Fresubin® MMT. (d) Standardized meal intervention—OGTT. ..
Article Title: Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning
Article Snippet: .. Within the two weeks, two study visits took place with a duration of 7–8 h each, in which participants wore two additional sensor devices, (1) a 4-channel BiosignalsPlux explorer kit ([PLUX Biosignals, Lisbon]), that collected four sensor modalities (with a sampling rate of 200 Hz): Body temperature ‘BTEMP’, respiratory rate ‘PZT’, electrooculography ‘EOG’ and electrogastrography ‘EGG’, and (2) an Empatica E4 wristband ([Empatica, Boston), that recorded another 4 sensor modalities including skin temperature ‘STEMP’ (at 4 Hz), electrodermal activity ‘EDA’ (at 4 Hz), photoplethysmography (PPG) (producing blood volume pulse ‘BVP’ (64 Hz) and heart rate ‘HR’ (1 Hz)) (sensor placements are exhibited in Fig. b). ..
Article Title: Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning.
Article Snippet: .. Within the two weeks, two study visits took place with a duration of 7–8 h each, in which participants wore two additional sensor devices, (1) a 4-channel BiosignalsPlux explorer kit ([PLUX Biosignals, Lisbon]), that collected four sensor modalities (with a sampling rate of 200 Hz): Body temperature ‘BTEMP’, respiratory rate ‘PZT’, electrooculography ‘EOG’ and electrogastrography ‘EGG’, and (2) an Empatica E4 wristband ([Empatica, Boston), that recorded another 4 sensor modalities including skin temperature ‘STEMP’ (at 4 Hz), electrodermal activity ‘EDA’ (at 4 Hz), photoplethysmography (PPG) (producing blood volume pulse ‘BVP’ (64 Hz) and heart rate ‘HR’ (1 Hz)) (sensor placements are exhibited in Fig. 1b). ..
Article Title: An Evaluation of the Autonomic Nervous Activity and Psychomotor Vigilance Level for Smells in the Work Booth
Article Snippet: .. Measurement of Other Biosignals In parallel to the ECG, the following biosignals were measured: skin conductance level (SCL, Electro Dermal Activity Sensors, PLUX wireless biosignals S.A., Lisbon, Portugal), pulse wave variability and skin temperature (SilmeeW22, TDK Corporation, Tokyo, Japan), and seat pressure distribution (SR Soft Vision Numeric Version, Sumitomo Riko Company Limited, Nagoya, Japan). ..
Article Title: Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning
Article Snippet: In the follow-up study the interstitial glucose levels were recorded continuously for a second time over 14 days in five participants of the study population and the wearable Empatica E4 was worn for ten days under everyday conditions. .. Taking together the dataset contains information on nutrition, sensor data from Abbott Freestyle Libre continuous glucose monitoring (CGM) and wearables, as well as samples for metabolomics analysis. ( b ) Experimental sensor placements based on three wearables (BiosignalsPlux, Empatica E4, and Abbott Freestyle Libre CGM), including different sensor modalities, i.e., Body temperature ‘BTEMP’, respiratory rate ‘PZT’, electrooculography ‘EOG’, electrogastrography ‘EGG’, skin temperature ‘STEMP’, electrodermal activity ‘EDA’, blood volume pulse ‘BVP’, and heart rate ‘HR’ (efficient sensor modalities for interstitial glucose prediction are highlighted in green and CGM is highlighted in orange). ( c ) Standardized meal intervention—Fresubin® MMT. ( d ) Standardized meal intervention—OGTT. ..
Sampling:Article Title: Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning
Article Snippet: .. Within the two weeks, two study visits took place with a duration of 7–8 h each, in which participants wore two additional sensor devices, (1) a 4-channel BiosignalsPlux explorer kit ([PLUX Biosignals, Lisbon]), that collected four sensor modalities (with a sampling rate of 200 Hz): Body temperature ‘BTEMP’, respiratory rate ‘PZT’, electrooculography ‘EOG’ and electrogastrography ‘EGG’, and (2) an Empatica E4 wristband ([Empatica, Boston), that recorded another 4 sensor modalities including skin temperature ‘STEMP’ (at 4 Hz), electrodermal activity ‘EDA’ (at 4 Hz), photoplethysmography (PPG) (producing blood volume pulse ‘BVP’ (64 Hz) and heart rate ‘HR’ (1 Hz)) (sensor placements are exhibited in Fig. b). ..
Article Title: Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning.
Article Snippet: .. Within the two weeks, two study visits took place with a duration of 7–8 h each, in which participants wore two additional sensor devices, (1) a 4-channel BiosignalsPlux explorer kit ([PLUX Biosignals, Lisbon]), that collected four sensor modalities (with a sampling rate of 200 Hz): Body temperature ‘BTEMP’, respiratory rate ‘PZT’, electrooculography ‘EOG’ and electrogastrography ‘EGG’, and (2) an Empatica E4 wristband ([Empatica, Boston), that recorded another 4 sensor modalities including skin temperature ‘STEMP’ (at 4 Hz), electrodermal activity ‘EDA’ (at 4 Hz), photoplethysmography (PPG) (producing blood volume pulse ‘BVP’ (64 Hz) and heart rate ‘HR’ (1 Hz)) (sensor placements are exhibited in Fig. 1b). ..
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