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Ni daq card

Manufactured by National Instruments
Sourced in United States

The NI-DAQ card is a data acquisition device designed for measurement and control applications. It is capable of acquiring, generating, and processing analog and digital signals. The core function of the NI-DAQ card is to interface with sensors, instruments, and other devices, allowing users to collect, analyze, and record data in a variety of settings.

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6 protocols using ni daq card

1

tACS Modulation of Visual Alpha Oscillations

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tACS electrodes (two conductive rubber 4 × 4 cm) were attached over standardized Cz and Oz channel locations (Jasper, 1958 (link); Herwig et al., 2003 (link)) underneath the EEG recording cap and the sinusoidal alternating current was applied at IAF (calculated according to the procedure described above) using a battery-driven stimulator (DC-Stimulator Plus, NeuroConn, Ilmenau, Germany). Stimulation electrode positions were selected based on previous studies, in which modulations of visual alpha oscillations by tACS were reported (Neuling et al., 2013 (link); Helfrich et al., 2014 (link); Ruhnau et al., 2016 (link)). Impedances were kept below 10 kΩ with Ten20 conductive paste (Weaver and Company, Aurora, CO, USA). tACS at IAF was applied with an intensity of 1 mA (peak-to-peak) for all subjects. The stimulation signal for every trial was initially determined in a closed-loop application (custom made, C++), then generated through NI DAQ card (USB 6343, National Instruments, TX, USA) and transmitted to the DC-Stimulator Plus “remote input” port.
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2

Passive Elbow Joint Stretching in Stroke Subjects

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The resting elbow joint of stroke subjects was passively stretched, using a computerized stretching program15 (link),16 (link). In the aforementioned experimental configuration, the axis of rotation of the elbow joint was aligned with the axis of rotation of a servomotor (model: FHA-25C-50-US250, Harmonic Drive LLC, MA, USA). The initial position was selected at which the subject rested naturally, i.e., resting angle 18 (link). A total amount of 50° elbow extension was applied to the elbow joint at a constant speed (5°/s or 100°/s). When the elbow passively moved to the end position, it was remained at the end position for 2 seconds. The elbow joint moved back to the initial position at the same speed. Three trials were collected for each stretch speed. The order of speeds was randomized.
Both force and EMG signals were collected using an NI-DAQ card (Model: PCI-6229, National Instruments, TX, USA). Elbow flexion torque and resistance torque were measured with a torque sensor (Model: TRS-500, Transducer Techniques, CA, USA). The sensor was located in line with the center of the rotation of the active elbow joint. The force and EMG signals were sampled at 1000 Hz. All the collected data were stored on a personal computer.
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3

Quantifying Center of Pressure Dynamics

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We quantified the anterior-posterior and medial-lateral COP from the force plate signals during the maximal and forward leaning task. We sampled anterior-posterior and medial-lateral COP at 1,000 Hz with a NI-DAQ card (model USB6218, National Instruments, Austin, TX, USA) and stored on a personal computer.
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4

Ankle Dorsiflexion Measurement Methodology

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The displacement of the ankle (dorsiflexion) was measured with a low-friction potentiometer (SP22G-5K, Mouser Electronics, Mansfield, TX) that was located directly lateral to the fibular malleolus. The ankle position signal was sampled at 1000 Hz with a NI-DAQ card (model USB6210, National Instruments, Austin, TX) and stored on a personal computer.
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5

Measuring Elbow Flexion and Grip Strength

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Elbow flexion force was measured using a torque sensor (Model: TRS-500, Transducer Techniques, Temecula, CA, USA). The sensor was located in line with the center of the rotation of the active elbow joint. During MVC task, Grip strength was measured using a hand dynamometer (Jamar Plus+; Sammons Preston, Rolyon, Bolingbrook, IL). Surface EMG electrodes (Delsys 2.1 Single Differential Configuration, Delsys Inc., Boston, MA, USA) were placed on the biceps and FDS muscles bilaterally according to the European Recommendations for Surface Electromyography (29 ). The EMG signals were collected through a Bagnoli EMG system (Delsys Inc.), amplified 1000 times. All the collected signals were sampled at 1,000 Hz with a NI-DAQ card (Model: PCI-6229, National Instruments, Austin, TX, USA) and stored on a personal computer.
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6

Noninvasive Autonomic Monitoring System

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The biosignals heart rate, continuous blood pressure, and breathing pattern where recorded noninvasively with a self-developed autonomic test system using Labview® (National Instruments Inc.) and Matlab® (R2012a). Heart rate was recorded by 3-channel ECG, amplified by a biosignal amplifier (g.Bsamp®, g.tec), blood pressure using Portapres® (Finapres Medical Systems), and respiration by using a piezosensor band around the chest (g.RESPsensor®, g.tec). All data were sampled with 1000 Hz per channel and a resolution of 16 bit using an A/D-converter (NI DAQCard®, National Instruments Inc.).
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