Respiration mode detection using a wireless instrumented mouthguard

Abstract Background GPS-based cycling data are increasingly available for traffic planning these days. However, the recorded data often contain more information than simply bicycle trips. GPS tracks resulting from tracking while using other modes of transport than bike or long periods at working locations while people are still tracking are only some examples. Thus, collected bicycle GPS data need to be processed adequately to use them for transportation planning. Results The article presents a multi-level approach towards bicycle-specific data processing. The data processing model contains different steps of processing (data filtering, smoothing, trip segmentation, transport mode recognition, driving mode detection) to finally obtain a correct data set that contains bicycle trips, only. The validation reveals a sound accuracy of the model at its’ current state (82–88%).

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A simple and cost-effective paper-based and colorimetric dual-mode detection of arsenic(iii) and lead(ii) based on glucose-functionalized gold nanoparticles

RSC Advances ◽

10.1039/d1ra02929k ◽

2021 ◽

Vol 11 (34) ◽

pp. 20769-20780

Author(s):

Bhuneshwari Sahu ◽

Ramsingh Kurrey ◽

Manas Kanti Deb ◽

Kamlesh Shrivas ◽

Indrapal Karbhal ◽

...

Keyword(s):

Gold Nanoparticles ◽

Cost Effective ◽

Dual Mode ◽

Functionalized Gold Nanoparticles ◽

Mode Detection ◽

Optimized Conditions

We report a simple and cost-effective paper-based and colorimetric dual-mode detection of As(iii) and Pb(ii) based on glucose-functionalized gold nanoparticles under optimized conditions.

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Dual-mode Detection of Dopamine Based on Enhanced Fluorescent and Colorimetric Signals of Fe 3+ -H 2 O 2 - o -Phenylenediamine System

Chinese Journal of Analytical Chemistry ◽

10.1016/s1872-2040(18)61103-x ◽

2018 ◽

Vol 46 (8) ◽

pp. 1231-1237 ◽

Cited By ~ 2

Author(s):

Chuan-Xia CHEN ◽

Peng-Juan NI ◽

Yuan-Yuan JIANG ◽

Zhen-Lu ZHAO ◽

Yi-Zhong LU

Keyword(s):

Dual Mode ◽

Mode Detection

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MODE DETECTION IN VEHICLES USING A SLIDING MODE ESTIMATOR

IFAC Proceedings Volumes ◽

10.3182/20050703-6-cz-1902.01934 ◽

2005 ◽

Vol 38 (1) ◽

pp. 278-283

Author(s):

Christopher Edwards ◽

Roderick G. Hebden ◽

Sarah K. Spurgeon

Keyword(s):

Sliding Mode ◽

Mode Detection

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Searching for g modes

Astronomy and Astrophysics ◽

10.1051/0004-6361/201833535 ◽

2018 ◽

Vol 617 ◽

pp. A108 ◽

Cited By ~ 5

Author(s):

T. Appourchaux ◽

P. Boumier ◽

J. W. Leibacher ◽

T. Corbard

Keyword(s):

Time Series ◽

Radial Velocity ◽

Time Shift ◽

Data Sets ◽

Mode Amplitude ◽

The Past ◽

Mode Detection ◽

Velocity Calibration ◽

Remaining Time ◽

Soho Spacecraft

Context. The recent claims of g-mode detection have restarted the search for these potentially extremely important modes. These claims can be reassessed in view of the different data sets available from the SoHO instruments and ground-based instruments. Aims. We produce a new calibration of the GOLF data with a more consistent p-mode amplitude and a more consistent time shift correction compared to the time series used in the past. Methods. The calibration of 22 yr of GOLF data is done with a simpler approach that uses only the predictive radial velocity of the SoHO spacecraft as a reference. Using p modes, we measure and correct the time shift between ground- and space-based instruments and the GOLF instrument. Results. The p-mode velocity calibration is now consistent to within a few percent with other instruments. The remaining time shifts are within ±5 s for 99.8% of the time series.

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