Matlab

Manufactured by National Instruments

Sourced in United Kingdom

MATLAB is a high-level programming language and numerical computing environment used for data analysis, algorithm development, and visualization. It provides a wide range of tools and functions for working with matrices, plotting data, and performing various mathematical and statistical operations.

Automatically generated - may contain errors

Lab products found in correlation

Matlab, by MathWorks (3 mentions) Labview, by National Instruments (2 mentions) Labchart 8 pro, by ADInstruments (1 mentions) Fsg15n1a, by Honeywell (1 mentions) Data acquisition interface, by National Instruments (1 mentions) Psychtoolbox, by MathWorks (1 mentions) Ds5 2000, by Digitimer (1 mentions) Ni daq card, by National Instruments (1 mentions) Portapres, by Finapres Medical Systems (1 mentions) Ti2 microscope, by Nikon (1 mentions) Prime 95b camera, by Nikon (1 mentions) Ni pci 6229, by National Instruments (1 mentions)

10 protocols using matlab

Real-Time Signal Processing of Biological Data

Check if the same lab product or an alternative is used in the 5 most similar protocols

All signal processing was performed in Matlab (MathWorks, Natick, MA). To enable direct comparison with the RPM data, we linearly interpolated the CBD data so that the time interval between data points would be the same for both the RPM and the CBD datasets while preserving the integrity of the latter. The datasets were baseline corrected and then aligned point-by-point based on optimization of the root mean squared deviation (RMSD). Peaks were automatically detected using a simple recursive algorithm, which was designed to process data sequentially using a sliding window. A pseudo code and an executable Matlab code is provided in Supplementary Information, but a summary is provided below:
Although our data processing has been done on Matlab, this algorithm could be easily implemented on a data acquisition platform such as NI Labview for simultaneous data acquisition and processing in real-time.

Y W., MB W., C S., G S., MT B, & KD W. (2014). Applications of a Capacitor-Based Respiratory Position Sensing Device: Implications for Radiation Therapy. Austin journal of medical oncology, 1(2), 1009.

+ Open protocol

+ Expand

Surface EMG Acquisition and Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

Surface EMG was recorded from the motor point of the APB and ADM muscles with unipolar self-adhesive Ag-AgCl electrodes (1.5 × 2.5 cm) in a belly-tendon montage. The ground electrode was attached to the palm. EMG signals were amplified (1000×), filtered by bandpass from 10 to 1 kHz plus a notch set at 50 Hz filter (LabChart 8 pro, ADInstruments Co.), sampled at the frequency of 2 kHz and digitized by PowerLab 16/35 (ADInstruments Co.). EMG signals were analyzed in real-time and offline using MATLAB (MATLAB 2014a, MathWorks Inc.). At the selected time intervals, the trigger signals were sent automatically from MATLAB to the TMS machine using a USB-6009-NI (National Instruments Corporation).

Cirillo G., Di Vico I.A., Emadi Andani M., Morgante F., Sepe G., Tessitore A., Bologna M, & Tinazzi M. (2021). Changes in Corticospinal Circuits During Premovement Facilitation in Physiological Conditions. Frontiers in Human Neuroscience, 15, 684013.

+ Open protocol

+ Expand

Wireless EMG-Controlled Prosthetic Hand

Check if the same lab product or an alternative is used in the 5 most similar protocols

Wireless Trigno electrodes (Delsys Inc., Boston, MA, USA) were used for recording of electromyographic (EMG) signals [20 ]. These are bipolar with an inter-electrode distance of 10 mm.
The prosthesis consisted of a Motion Control Hand with a brushless DC motor option, and a Motion Control Wrist Rotator (Motion Control Inc., Salt Lake City, UT, USA). The prosthesis was covered with a silicone glove.
The control system was implemented on a computer using LabView, Matlab and a National Instruments wireless data aquisition (DAQ) module.

Fougner A.L., Stavdahl Ø, & Kyberd P.J. (2014). System training and assessment in simultaneous proportional myoelectric prosthesis control. Journal of NeuroEngineering and Rehabilitation, 11, 75.

+ Open protocol

+ Expand

Ergonomic Finger Force Measurement

Check if the same lab product or an alternative is used in the 5 most similar protocols

We tested participants’ hand function using an ergonomic device, designed and published previously⁵, that measures isometric forces produced by each finger (Figure 1A). The hand-shaped keyboard was comprised of 10 keys with force transducers (FSG-15N1A, Honeywell; dynamic range 0-50 N) underneath each key at the position of the fingertips. Downward flexion force exerted at each fingertip was measured at a sampling rate of 200 Hz. The data were digitized using National Instruments USB-621x devices interfacing with MATLAB (The MathWorks, Inc) Data Acquisition Toolbox. Visual stimuli were presented on a computer monitor (22 inches), run by custom software written in MATLAB environment using the Psychophysics Toolbox (Psychtoolbox).^{22 (link)}

Mawase F., Cherry-Allen K., Xu J., Anaya M., Uehara S, & Celnik P. (2020). Pushing the Rehabilitation Boundaries: Hand Motor Impairment Can Be Reduced in Chronic Stroke. Neurorehabilitation and Neural Repair, 34(8), 733-745.

+ Open protocol

+ Expand

Aversive Electrical Skin Stimulation Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols

The amplitude of the electric skin stimulation, which served as the aversive reinforcer, was controlled by a Digitimer DS5, an Isolated Bipolar Constant Current Stimulator (Digitimer DS5 2000, Digitimer Ltd.) . The DS5 produces an isolated constant current stimulus proportional to a voltage applied at its input. For reasons of participant safety, this stimulator is limited to delivering a maximum of 10 V/10 mA. Participants received the stimulation through a ring electrode built in-house (Medical Physics, Salford Royal Hospital) attached to the DS5. To ensure adequate conductance between the electrode and the skin, the back of each participant's hand was prepared with Nuprep Skin Preparation Gel and Ten20 Conductive Paste before attaching the electrode. Transcutaneous electrical stimulation activates myelinated Aβ somatosensory fibers as well as Aδ nociceptive fibers (Hird, Jones, Talmi, & El-Deredy, 2018) and can therefore cause both a sensation of touch and a sensation of pain.
The experiment was implemented using the Psych toolbox on a MATLAB (The MathWorks, Inc.) platform. The voltage inputs to the DS5 were sent from MATLAB through a data acquisition interface (National Instruments). The behavioral ratings were taken on Microsoft Excel.

Talmi D., Slapkova M, & Wieser M.J. (2019). Testing the Possibility of Model-based Pavlovian Control of Attention to Threat. Journal of cognitive neuroscience, 31(1).

+ Open protocol

+ Expand

Noninvasive Autonomic Monitoring System

Check if the same lab product or an alternative is used in the 5 most similar protocols

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.).

Struhal W., Mahringer C., Lahrmann H., Mörtl C., Buhl P., Huemer M, & Ransmayr G. (2016). Heart Rate Spectra Confirm the Presence of Autonomic Dysfunction in Dementia Patients. Journal of Alzheimer's Disease, 54(2), 657-667.

+ Open protocol

+ Expand

LabVIEW and MATLAB-Powered Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

The analysis software was developed using Labview^® (National Instruments Inc.) and Matlab^® (R2012a).

+ Open protocol

+ Expand

Squeeze Grip Experiment Using MATLAB

Check if the same lab product or an alternative is used in the 5 most similar protocols

The task was coded in MATLAB (MATLAB and Statistics Toolbox Release 2012b, The MathWorks, Inc., Natick, Massachusetts, United States). This experiment was realized using Cogent Graphics developed by John Romaya at the Laboratory of Neurobiology at the Wellcome Department of Imaging Neuroscience. The squeeze grip used was custom-made at University College London (Institute of Neurology, 33 Queen Square, London, UK), and a National Instruments data acquisition device (DAQ) connected via USB port was used in conjunction with the MATLAB data acquisition toolbox.

Nord C.L., Prabhu G., Nolte T., Fonagy P., Dolan R, & Moutoussis M. (2017). Vigour in active avoidance. Scientific Reports, 7, 60.

+ Open protocol

+ Expand

Visualizing Fibroblast Vesicle Fusion Events

Cited 1 time

Check if the same lab product or an alternative is used in the 5 most similar protocols

The growth media for human fibroblasts were changed to DMEM FluoroBrite supplemented with 10% FBS 30 min before imaging. Cells were imaged using a TIRFM setup under a temperature-controlled environment (Tokai Hit) maintained at 37°C. Images were captured using Photometrics Prime 95B camera mounted on a Nikon Ti-2 microscope using Apo-TIRF 100×/1.49 oil-immersion or Apo-TIRF 60×/1.49 oil-immersion objective. Image acquisition was performed using NIS Elements Advanced Research Imaging software (version 4.60.00 [Build 1171] Patch 02). Images were processed and analyzed with NIS Elements and Matlab. Vesicle fusion events were analyzed by overlaying the time series images to determine all spots and by creating regions of interest around them as described previously (Ahmed et al., 2018 (link)). The fluorescence trace over time was extracted and analyzed using Matlab to determine bona-fide fusion events.

Van Bergen N.J., Ahmed S.M., Collins F., Cowley M., Vetro A., Dale R.C., Hock D.H., de Caestecker C., Menezes M., Massey S., Ho G., Pisano T., Glover S., Gusman J., Stroud D.A., Dinger M., Guerrini R., Macara I.G, & Christodoulou J. (2020). Mutations in the exocyst component EXOC2 cause severe defects in human brain development. The Journal of Experimental Medicine, 217(10), e20192040.

+ Open protocol

+ Expand

Acoustic Cochlear Potentials Characterization

Check if the same lab product or an alternative is used in the 5 most similar protocols

Acoustic cochlear
potentials were obtained in response to 8 kHz tone burst (pulse duration
= 8 ms, rise/fall time = 1 ms, repetition rate = 20 Hz, level: 20
to 80 dB SPL per 10 dB step, and 200 repetitions per level). The mass
potentials were amplified using a custom-made physiological amplifier
and sampled at a rate of 50 kHz (NI PCI-6229, National Instrument).
Stimulus generation and data acquisition were made using custom-written
software (MATLAB, MathWorks) employing National Instrument data acquisition
cards in association with a custom-built acoustic and laser-controller.
The cochlear microphonic was extracted by averaging the band-pass
filtered (cut-off frequencies = 5.6 and 11.1 kHz) mass potential recorded
using the RW electrode and its amplitude defined as the RMS value.
The CAP and summating potentials were obtained by averaging the low-pass
filtered (cut-off frequency = 3.5 kHz) mass-potential. The CAP amplitude
was defined as the amplitude between the first negative peak (N₁) and the following positive peak (P₁). The summating
potential amplitude was defined as the difference between the plateau
response (between 5 and 7 ms) and the baseline prior to the stimulation
onset.

Garrido-Charles A., Huet A., Matera C., Thirumalai A., Hernando J., Llebaria A., Moser T, & Gorostiza P. (2022). Fast Photoswitchable Molecular Prosthetics Control Neuronal Activity in the Cochlea. Journal of the American Chemical Society, 144(21), 9229-9239.

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!