Wireless Surface EMG Modules | Data Acquisition
Physiological
data acquisition systems offer many options for recording surface EMG, needle
EMG, and fine wire EMG. General muscle activity and fatigue can be determined
by recording and analyzing surface EMG data from major muscle groups.
Correlate
EMG activity with data from other sources including force plates, goniometers,
and motion analysis equipment. Analysis software
tools, including spike counting, muscle activation location, and frequency
analysis allow for post-acquisition surface EMG data interpretation. Results of
EMG recordings can be output as graph channels for easy data visualization, or
can be in numerical format in summary tables or spreadsheets. Data can then be
used for further statistical analysis.
EMG Analysis | Biomechanics
Biomechanics
research has never been easier thanks to powerful new data acquisition and
analysis tools. Perform real-time calculations and post-data acquisition
analysis on a variety of biomechanical and physiological data.
Simultaneously
acquire up to 16 channels of biomechanics and/or gait-specific data. An example
setup could incorporate two channels of heel/toe
strike timing, ten channels of EMG signals, and
four channels of goniometry data — however combinations are virtually endless.
Record sit-and-reach tests, range of motion evaluations, muscle balance
assessments and more.
Real-time
event markers allow researchers to log important events in the data and also
include comments that can be written during or post acquisition.
After
recording, choose an automated
analysis package to interpret and score the biomechanics data. For example,
automated EMG
analysis allows for a variety of automated functions including deriving
integrated EMG, root mean square (RMS) EMG, locating muscle activation, full
frequency and power analysis, and much more.
Electrocardiogram Signals | ECG Analysis
Electrocardiogram signals can be recorded
from humans or animals wirelessly or via tethered amplifiers(BioNomadix). Analyzing changes
in ECG rhythms can provide valuable insight into stress, arousal, and exercise
research. Automated ECG Analysis
packages are available that provide a wide variety of automated ECG analysis
options. To examine changes in the physical ECG complex during experimental protocols the Locate ECG Complex boundaries routine will locate and score the different parts of the ECG complex (P, Q, R, S, T intervals). The routine can be tailored for human or animal ECG recordings. For human signals, the automated ECG complex boundaries routine can also measure and extract the ECG interval information to a spreadsheet file or text file. Another automated ECG analysis routine will help the user classify heartbeats as normal, PVC, or unknown. This provides a quick automated analysis tool to identify and mark irregular heartbeats.
Additional automated ECG analysis tools are
also available to examine respiratory sinus arrhythmia, determine beat-by-beat
heart rate, and more.
Neuromarketing Solutions | Data Acquisition
Neuromarketing solutions are available that allow you to examine physiological responses to products, environments, other stimuli or decision making tasks. Multiple physiological signals can be recorded and analyzed for Neuromarketing, including EEG. EEG analysis options allow for understanding of the subject's cognitive state for a variety of Neuromarketing tasks. Gauging level of engagement, workload and drowsiness while performing tasks or participating in consumer test situations can provide valuable insight into product development and marketing. Neuromarketing solutions should be as unobtrusive as possible, allowing for wireless EEG and other physiological signals to be recorded and analyzed from mobile subjects. Whether subjects are in a lab or real-world environment, users should have the ability to stream physiological data live or record and log up to 32-channels of high-quality biopotential data.
For some applications, long-term activity studies may be necessary. Solutions are available that allow users to monitor subjects in their home environment over multiple hours or days. For example, record ECG, EEG, Respiration, EMG, and GPS positioning data to look at overall activity levels and physiological responses to different Neuromarketing stimuli and daily activities that include product interactions.