custo diagnostic ergo
Software for stress ECG
Modern solution for computerised stress ECG diagnostics. From preparation to documentation, the software offers complete, workflow-optimised support. Whether in cardiology, general medicine, sports medicine or hospital clinics, the system combines precise diagnostics, intuitive operation and seamless integration into the IT environment.
New: Artificial intelligence assists with the analysis.
The validated* AI function recognises typical abnormalities and provides structured information on findings, helping to make diagnoses faster and even more reliable. Full decision-making authority remains with the physician at all times: AI as support, not a replacement.
Product overview
Highlights at a glance
Intelligent stress management
Standardisation, automation and customisation in one system
- Predefined standard profiles for stress control enable quick access to the system
- Compatible with the most common ergometers and treadmills
- Individual configuration options for specific adaptation to the respective requirements of the person being examined
- Simple control of the ergometers or treadmills at the workstation
- Automated stage progression and recovery phases
Maximum control
Safety always at the forefront
- Acoustic and visual warnings when limit values are exceeded
- Start/stop the ergometer or treadmill directly on the PC
- Adjust the stress level without interruption, even while an examination in ongoing
- Continuous display of vital signs in a clearly organised interface
Reliable data quality
High signal quality and clear presentation of results
Whether total ECG, stress profile, ST tables or individual display of the sum complexes: various visualisation forms offer the possibility to view and assess the recording comprehensively.
- Clear, informative ECG waveforms in high resolution
- true wave® filter for effective noise filtering and artefact suppression (individually adjustable)
- Recognition and visualisation of pacemaker impulses
- Automatic control of the electrode contacts
Different view types
Everything at a glance or detailed view
- Complete display of all 12 leads in a compact overview
- Storage of the sum complexes for all stress levels, comparison of the stress levels with each other or with the rest phase
- AI-supported detection of abnormalities and arrhythmias
- Recording and visualisation of blood pressure activity, SPO2 and lactate values
- Remote monitoring: For a simplified exchange of findings, faster decisions and further opinions, the examination can be followed in parallel and in real time from another workstation.
Clear therapy monitoring
Understand trends immediately
Simple observation of development: display, analyse and compare two examinations of one person.
Seamless finish
Fast reporting, secure exchange, reliable archiving
- Fast diagnosis thanks to automatic analysis and interpretation
- Preconfigured, customisable findings texts
- Secure data exchange via standardised interfaces (GDT, HL7, DICOM, PDF/A) directly into the practice or clinic software
- Reliable archiving of all examinations in the central custo diagnostic platform – audit-proof, completely digital and retrievable at any time
ECG devices
Resting and stress ECG systems for precise signal acquisition
custo cardio 400 accu
Battery operated resting and stress ECG system with integrated suction system
custo cardio 400 accu enables precise resting and stress ECGs – wireless, flexibly and with an integrated suction system for fast, safe electrode application without adhesive electrodes.
custo cardio 400
Resting and stress ECG system with integrated suction system
The custo cardio 400 12-lead ECG system enables reliable resting and stress ECGs. The integrated suction system ensures fast, safe and convenient electrode placement without adhesive electrodes.
custo cardio 300
Mobile 12-lead ECG system for resting and stress ECG diagnostics
custo cardio 300 combines resting and stress ECG in one compact device and thus offers versatile diagnostics with maximum mobility.
Further Information
*Kraft, D.; Bieber, G; Jokisch, P; Rumm, P. End-to-End Premature Ventricular Contraction Detection Using Deep Neural Networks. Sensors 2023, 23, 8573. https://doi.org/10.3390/s23208573.
