*.mat
Recently, surface electromyography (sEMG) emerged as a novel biometric authentication method. Since EMG system parameters, such as the feature extraction methods and the number of channels, have been known to affect system performances, it is important to investigate these effects on the performance of the sEMG-based biometric system to determine optimal system parameters.
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The purpose of this data collection was for the validation of a cuffless blood pressure estimation model during activities of daily living. Data were collected on five young healthy individuals (four males, age 28 ± 6.6 yrs) of varied fitness levels, ranging from sedentary to regularly active, and free of cardiovascular and peripheral vascular disease. Arterial blood pressure was continuously measured using finger PPG (Portapres; Finapres Medical Systems, the Netherlands).
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This dataset contains a created ST annotations for all recordings of Abdominal and Direct Fetal ECG Database (ADFECGDB).
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Acoustic measurement data from Multilayer Ceramic Capacitors (MLCCs). Contains preprocessed data from intact and damaged MLCCs for damage detection (classification) purposes.
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This dataset contains 1944 data, which are scanned by the HIS-RING PACT system.
the data sampling rate of our system is 40 MSa/s, a 128-elements 2.5MHz full-view ring-shaped transducer with 30mm radius.
continuous updating.....
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This dataset contains one ideal fetal phonocardiography (fPCG) signal and twelve signals made by adding three types of interference having different amplitudes to the reference signal.
- Ambient noise - this is any noise from the surroundings. It occurs commonly when recording the fPCG. Its spec-trum includes frequencies from 10 Hz.
- White Gaussian noise - a random signal with the same power in any band of the same width.
- Maternal and fetal movement artifacts - a noise caused by muscle movement or breathing. They occur at low frequencies, usually up to 100 Hz.
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The MATLAB data file “wind_speed_2015_2016_10minutely.mat” was obtained based on the original wind speed data downloaded from "Iowa Environmental Mesonet: AWOS Network Database" at the localities of Le Mars, Orange City, and Sheldon in Iowa, USA, recorded from 2015 to 2016. The raw data set has varying resolution, ranging from 5 to 10 min per sample. A fraction of missing measurements were filled in by interpolation. The resulting data-set was then re-sampled at a fixed rate of 10 min per sample, resulting in 105120 data points for each location.
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