Sensors

For a detailed describtion of this dataset see accompanying publication "Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms" by Kaisti M., et al. IEEE Sensors 2018, 10.1109/JSEN.2018.2874706. This datasets consists of 29 mechanocardiogram recordings with ECG reference from healthy subjects in supine position. All data were recorded with sensors attached to the sternum using double-sided tape. Mechanocardigrams incude 3-axis accelorometer signals (seismocardiograms) and 3-axis gyroscope signals (gyrocardiograms).
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Testings of spectrozonal analog lab-on-a-chip with angle-sensitive pixels (ASP) using diode laser sources in combined nanosecond reflectometric and stroboscopic oscilloscopic measurements.

 

FILE 1: Combined nanosecond reflectometric and stroboscopic oscilloscopic analysis for RF lab-on-a-chip.mp4

00:15 - Wavelength: 405 nm (DPSS);

00:57 - Wavelength: 650 nm (laser diode source);

 

FILE 2: Analog angle-sensitive pixel lab-on-a-chip testing using nanosecond stroboscopic oscilloscope.mp4

00:20 - Zero Point Calibration (ZPC);

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Microfluidic Lab-on-a-dish (3D printing).

 

O.V. Gradov group, INEPCP RAS, 2017-2018.

https://vimeo.com/273508513

 

Acknowledgements:

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This database includes data measured by Qualcomm's 60GHz mmWave Radar.

It includes:

Face signature data base: radar face scan data of 206 individuals for face recognition. 

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This dataset consists of raw EEG data from 48 subjects who participated in a multitasking workload experiment utilizing the SIMKAP multitasking test. The subjects’ brain activity at rest was also recorded before the test and is included as well. The Emotiv EPOC device, with sampling frequency of 128Hz and 14 channels was used to obtain the data, with 2.5 minutes of EEG recording for each case. Subjects were also asked to rate their perceived mental workload after each stage on a rating scale of 1 to 9 and the ratings are provided in a separate file.

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The frequency domain measurement of the scattering parameter, S21, of the wireless channel was carried out using the ZVB14 Vector Network Analyzer (VNA) from Rhode and Schwartz. The measurement system consists of the VNA, low loss RF cables, and omnidirectional antennas at the transmitter and receiver ends. The transmitter and receiver heights were fixed at 1.5 m. A program script was written for the VNA to measure 10 consecutive sweeps: each sweep contains 601 frequency sample points with spacing of 0.167 MHz to cover a 100 MHz band centered at 2.4 GHz.

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Visual tracking methods have achieved a successful development in recent years. Especially the Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in tracking. The advancement in DCF tracking performance is predominantly attributed to powerful features and sophisticated online learning formulations. However, it would come to some troubles if the tracker learns the samples indiscriminately.

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A novel surface-enhanced Raman scattering substrate based on integrated circuit (IC) process was designed, using photolithography, etching and other processes on the silicon wafer processing. Its surface morphology and Raman activity were characterized and tested. The relationship between the substrate’s photolithographic pattern and its Raman activity, stability and reproducibility has been analyzed and verified.

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The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create.

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