Kubios HRV Scientific (Previous Premium)

Available in the Mindfield Shop

You can purchase the Kubios HRV Scientific software from our online shop for the same price as Kubios, but we also offeradditional and exclusive support in German. With us you can choose both the academic license as well as the commercial license.

Kubios writes about the license:

Kubios HRV Scientific (ver. 4.0) for Windows (Win 10 or 11, 64-bit) and macOS (Catalina, Big Sur or Montrey).

A single user subscription license (1-year subscription) including access to Kubios HRV mobile app data, software updates, and technical support. One license allows you to use Kubios HRV Scientific on one computer at a time. “Academic License” shall mean a license, which has been purchased at a price (“Academic Price”) offered only to academic organizations and other not-for-profit organizations as well as to individuals for the purpose of using the Software only for Academic Use and/or Personal Use.

With the release of Kubios HRV Scientific, updates for Kubios HRV Premium have been discontinued and license renewals can no longer be purchased for existing Kubios HRV Premium licenses.

Supports your measurement device

Kubios HRV Scientific is compatible with several commonly used electrocardiogram (ECG) devices and with most of the HR monitors on the market.
The only requirement for the HR monitor is that it can record inter-beat interval (IBI) data.

Operating system

• Kubios HRV Scientifc is available for 64-bit operating systems: Windows 10 & 11, MacOS (Catalina, Big Sur or Montrey).
• Minimum system requirements: 4 GB RAM, 3-5 GB hard disk space and screen resolution 1024 x 768 or higher

Usability

• Easy-to-use graphical user interface (GUI)
• Adaptable to user needs due to adjustable analysis settings through software preferences

Supported data formats and devices

• Inter-beat-interval (IBI) or RR interval files: Garmin and Suunto FIT files; Polar TXT files; custom text and CSV files.
• ECG/PPG files: European Data Format (EDF/EDF+); Cardiology XML; ISHNE Holter ECG Data Format; Biopac ACQ3; General Data Format (GDF); and custom text and CSV files.
• Supported ECG/PPG devices: Actiwave Cardio, AliveCor Kardia, Biopac, Bittium Faros, Empatica E4, Mindfield MindMaster, Shimmer and various clinical Holter and ECG monitors.
• Supported HR monitors: ActiHeart, emWave, Firstbeat Bodyguard, Garmin (Forerunner and Fenix series), Polar (V800), Suunto (Ambit and Spartan series), Zephyr BioHarness

Preprocessing functions

• Built-in QRS detector for accurate ECG R-wave acquisition and pulse wave detector for PPG data
• Automatic correction algorithm to correct missed, extra and misaligned beats from RR interval time series. The algorithm was validated using the MIT-BIH arrhythmia database, which shows 97.0% accuracy in detecting ectopic beats and 99.9% accuracy in identifying normal beats
• Smoothness prior method for removing very low frequency trend components when performing short term HRV analyses.

Features of HRV analysis

• Stress level and indices of parasympathetic (PNS) and sympathetic nervous system (SNS) activities.
• Time domain parameters: Mean RR and HR, min. and max. HR, SDNN, RMSSD, pNN50 (with adjustable threshold), HRV triangular index and TINN.
• Parameters in the frequency domain: Welch’s/Lomb-Scargle periodogram and AR spectrum estimates. VLF, LF and HF peak frequencies and bandpower as well as LF/HF ratio
• Nichtlineare Parameter: Poincare-Plot (SD1, SD2 und SD2/SD1), ApEn, SampEn, Detrended fluctuation Analyse (DFA), Recurrence Plot Analyse (RPA) und Multiscale Entropie (MSE)
• Support for additional data channels (display of additional channels on data axes)
• ECG waveform analysis (QRS duration, QT and QTc times, and P, Q, R, S, and T amplitudes).
• Trainingsdatenanalyse mit detaillierten Leistungsmetriken (HR, RESP, TRIMP, ventilatorische Schwellenwerte und VO2) und Herzfrequenzerholung
• Training data analysis with detailed performance metrics (HR, RESP, TRIMP, ventilatory thresholds, and VO2) and heart rate recovery

Respiratory sinus arrhythmia (RSA) estimation.

• Built-in ECG-based respiration (EDR) algorithm that provides accurate respiration rate estimation required for reliable RSA component estimation (to ensure respiration rate is within the RF band) and individual resonant frequency assessment

Time-variable analysis functions

• Time evolution of HRV parameters to detect changes in HRV e.g. during a 24-hour recording or during training and recovery phases
• Analysis window for the investigation of long-term or short-term dynamics adjustable
• Spectrogram with “fire” color map, a graphical representation of the dynamic changes of HRV components. At a glance, you can see how stress alters the cardiovascular system and how therapeutic measures can speed recovery

Export reports and results

• ECG printout option to print the ECG signal (single lead) on a standard paper ECG layout.
• PDF reports with detailed HRV analysis results and graphs
• Text file export to save all analysis results into a structured text file
• Matlab MAT file export to save the analysis session and results. The previously run analysis session can be reopened by opening the MAT file, which provides an easy way to change the analysis settings and re-analyze the data
• “SPSS friendly” batch file export to save analysis results to a CSV file that can be opened in Excel or imported into SPSS