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Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient

2025-08-12
Latest company news about Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient

Introduction


In the era of intelligent diagnosis and treatment of medical devices, have you encountered these problems?

 

The accuracy of output parameters of medium frequency therapy equipment is difficult to verify


The medical safety certification cycle is long, time-consuming and labor-intensive

 

To address the industry's pain points, traditional testing methods are unable to fully cover core indicators. We have launched a new generation of medium-frequency electrotherapy measurement and analysis system, using technology to provide "data insurance" for medical safety!

 

The medium-frequency electrotherapy measurement and analysis system is developed for testing medium-frequency electrotherapy devices. Based on the YY 9706.210-2021 Medical Electrical Equipment Part 2-10 and YY_T 0696-2021 Measurement Standards for Output Characteristics of Nerve and Muscle Stimulators, the measurement parameters emphasize six key indicators: effective value, current density, pulse energy, pulse width, frequency, and DC component. This provides key data support for the safety certification of medical devices.


Detailed Explanation of Technical Parameters


Effective value monitoring: 0-100mA high-precision measurement, error <±1%

Pulse energy analysis: Capable of capturing 10μs level instantaneous energy changes

Intelligent alarm system: automatic alarm function when DC component exceeds the limit

Data visualization: Real-time generation of multi-parameter dynamic curve maps


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latest company news about Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient  1


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NEWS DETAILS
Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient
2025-08-12
Latest company news about Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient

Introduction


In the era of intelligent diagnosis and treatment of medical devices, have you encountered these problems?

 

The accuracy of output parameters of medium frequency therapy equipment is difficult to verify


The medical safety certification cycle is long, time-consuming and labor-intensive

 

To address the industry's pain points, traditional testing methods are unable to fully cover core indicators. We have launched a new generation of medium-frequency electrotherapy measurement and analysis system, using technology to provide "data insurance" for medical safety!

 

The medium-frequency electrotherapy measurement and analysis system is developed for testing medium-frequency electrotherapy devices. Based on the YY 9706.210-2021 Medical Electrical Equipment Part 2-10 and YY_T 0696-2021 Measurement Standards for Output Characteristics of Nerve and Muscle Stimulators, the measurement parameters emphasize six key indicators: effective value, current density, pulse energy, pulse width, frequency, and DC component. This provides key data support for the safety certification of medical devices.


Detailed Explanation of Technical Parameters


Effective value monitoring: 0-100mA high-precision measurement, error <±1%

Pulse energy analysis: Capable of capturing 10μs level instantaneous energy changes

Intelligent alarm system: automatic alarm function when DC component exceeds the limit

Data visualization: Real-time generation of multi-parameter dynamic curve maps


Product Image

latest company news about Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient  0


latest company news about Python-based medium-frequency electrotherapy measurement and analysis system makes testing more convenient  1