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Physiology Analysis

Description

The MindWare suite of physiological analysis applications provides the researcher with a sophisticated array of tools to quickly and accurately analyze autonomic and central function. Their ease of use, flexibility, and intuitive graphical interface make these the tools of choice for researchers worldwide. With proven and validated methodologies these applications are a reliable and accurate means of converting raw physiological data into meaningful statistical representations. This allows for significantly faster and more accurate data reduction allowing researchers more time to focus on their core science.

Applications are compatible with native Acknowledge (BIOPAC Systems) files allowing for fast and accurate assessment. Using the ASCII import function, text files generated from platforms such as EGI and Psylab can easily be analyzed.

The latest release (ver 3.0) of our respected analysis applications includes several major new features such as: synchronous A/V (.mpeg) playback, new analysis and event modes, additional analysis methods, new EDA graphical editor, all new Blood Pressure variability application and a streamlined GUI interface. The new applications are designed to take full advantage of the power and flexibility of our BioLab acquisition software and optimize the use of our BioNex desktop and ambulatory / wireless instruments. All of our Analysis software is compatible with Windows 7 and older.

Login or setup an online account and call us at (614) 626-4888 or email us at info@mindwaretech.com to acquire download permissions.

Products

	Basic Signal Analysis (BSA) Software Model 60-1117-00
	Our BSA Software calculates basic statistics (mean, median, mode, max, min, RMS, AC, DC) for any type of waveform.


	Heart Rate Variability (HRV) Analysis Software Model 60-1100-00
	Our HRV Analysis Software calculates VLF, LF, HF/RSA power, HR, respiration rate, IBI series.


	Impedance Cardiography (IMP) Analysis Software Model 60-1101-00
	Our IMP Analysis Software calculates LVET, PEP, SV, CO, HR, dZ/dt max, Mean IBI, IBI series, number of R peaks.


	Electrodermal Activity Skin Conductance (EDA) Analysis Software Model 60-1102-00
	Our EDA Analysis Software calculates specific and non-specific skin conductance responses based on events.


	Electromyography (EMG) Analysis Software Model 60-1103-00
	Calculates VRMS, VMean, Integral, Peak Frequency, and Peak Power statistics.


	Blood Pressure Variability (BPV) Analysis Software Model 60-1104-00
	Our BPV Analysis Software calculates systolic, diastolic peak and mean values, Heart rate, mean IBI, IBI series.


	Electroencephalography (EEG) Analysis Software Model 60-1105-00
	Calculates total power within definable frequency bands, peak frequency, and peak power point.


	Second Seat License Model 60-1112-00
	Dongle with the license to install and run any application on another computer.


	Maintenance Contract Model 60-1113-00
	This maintenance Program is a voluntary means of extending technical support and application updates for a one-year period. This contract takes affect one-year after the initial purchase date.


	Noldus Observer Behavioral Coding Suite Model 62-2208-00
	Noldus Observer XT. Gather rich and meaningful data. Record time automatically and accurately


	Noldus Observer XT with External data module Model 62-2207-00
	synchronizes concurrent acquired data of external data acquisition equipment


	Eprime Extensions for Tobii Model 62-2204-00
	Add eye gaze and eye movement capabilities to your existing E-Prime® experiments, or create new paradigms with E-Studio's Graphical Design Interface.


	EMSE Suite Model 62-2205-00
	EMSE Suite is a superb, modular solution for the full range of EEG / MEG and multimodal neuroimaging applications, and the capabilities of the software lend themselves to analysis of ECG / BSPM data as well.


	BrainVoyager QX Model 50-8004
	BrainVoyager QX is a highly optimized and user friendly software package for the analysis and visualization of functional and structural magnetic resonance imaging data sets.