Signal Processing
Manual palpation of organs played a vital role in detecting abnormalities in open surgeries. However, surgeons
have lost this ability with the development of minimally invasive surgeries. This challenge led to the development of artificial sensors for palpating the patient's organs and tissue. The majority of research done is related to improving the measurement of tissue compliance by the development of versatile force sensors for surgical
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The Excel file contains samples of a laboratory-generated noisy voltage signal with a dc component under nonideal sampling.
This test signal is generated in a laboratory for assessing power frequency estimation algorithms.
The first column represents the sample time.
The second column represents the voltage signal samples.
The reference fundamental frequency is 46 Hz.
The nominal voltage amplitude is 10 V.
The actual sampling rate varies in the range of 9.99834~10.01027 kHz.
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Abstract: This paper explains a new interactive power meter achieved by TMS 320 a digital signal processing (DSP) technique that defines equation conditions. Q_x = √ { V_rms^2 ∑_(n=1)^∞〖( Qn Vn)^2 }〗 for the importance n harmonics. The definition of reactive current is useful because by reduces its value, while the maximum PF (power factor) can be obtained for non-genetic systems.
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It is suggested to use zero crossing detectors to build a high-precision power-factor meter. Low pass filters are suggested to stop this error source after the influence of input signal distortion is examined. Based on the measurement of voltage, current, and power factor, this system is also proposed as a new type of power standard meter.
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RRN-ATR-Net is a radar echo data set containing the micro-Doppler signatures (m-Ds) of different aerial targets, with a total sample size of 1200. It is available for researchers interested in this field but having difficulty collecting data. The data set is acquired using Texas Instruments' AWR1642BOOST radar sensor and the DCA1000EVM high-speed data acquisition card. The target types subject to acquisition include quadrotor (Phantom3s), fixed-wing (Cessna182), helicopter (T-REX450), and bionic bird (Gogo Bird1020).
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They are a combination of 8 finger gestures and 3 wrist gestures. The 8 finger motions include fist, extension of all fingers, extension of thumb finger, extension of index finger, extension of thumb and index finger, extension of little finger, 3-fingers pinch, and 5-fingers pinch . And the 3 wrist motions are wrist extension, wrist flexion and wrist relaxation. 8-channel sEMG and 1-inertial measurement unit (IMU) were recorded by a self-developed device. The sampling frequency of sEMG and inertial signal was 1000Hz.
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A specially designed waist-worn device with accelerometer, gyroscope, and pressure sensor was utilized to collect information about 18 ADLs and 16 fall types. The falls protocol has been performed in our lab to replicate realistic situations that typically affect workers and older people. In contrast to other datasets that are accessible to the public, we included a new task in the falls, syncope, since it has a high mortality rate among the elderly and is linked to falls. As such, we must take it into account and include it in our fall detection system.
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This paper proposes and experimentally validates a distributed temperature alarm system based on carbon dioxide (CO2)-filled side air-holes fiber (SAHF), interrogated through a conventional (incoherent) optical time-domain reflectometer (OTDR). Customizable alarm threshold temperatures can be designed and set by adjusting the pressure of the CO2 filling the air-hole region, which in turn determines a threshold temperature under which CO2 liquefies.
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It is Supplementary Table_S1, the extracted scattering centers for the complex target in Fig. 9(a). Paper abstract: An electromagnetic (EM) metasurface is a passive device capable of manipulating the reflected signal of a radar in both spatial and frequency domains. This paper presents a novel analytical design of EM scattering center model guided passive synthetic aperture radar (SAR) deception based on diverse frequency time-modulation. The objective of this design is to disguise real target as an intended deceptive target and conceal its original EM characteristics.
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The study of motion data acquisition by wearable sensors and subsequent processing is a crucial research area with significant implications in monitoring physiological motion, identifying gait disorders, and classifying motion patterns, which is particularly relevant in pediatrics, neurology, and rehabilitation. This paper presents the utilization of accelerometric data to evaluate body motion symmetry in children, taking into account various factors such as age, diagnosis, and gender.
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