Accuracy of the Algorithm

Nov 6, 2024 | CMN FAQs

Buyer's question

What supporting evidence can prove your product’s accuracy of the algorithm? Your company measures deep body temperature using an algorithm. Are there any papers written by relevant scholars? If it is sold in Japan, it would be best to have endorsements or opinions from Japanese doctors.

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Answer

High precision

In fact, the accuracy of the algorithm cannot be measured because our company’s logic is to obtain the compensation value through the comparison of actual experimental data input between ambient temperature and deep body temperature. Currently, there is no instrument on the market that can define the accuracy.

However, the reliability of the accuracy stems from the reliability of the materials. At present, the temperature sensor used in our company’s products has an accuracy of 0.1°C in an environment of 24-45°C.

This sensor can maintain a variation range within ±1% under various environmental tests and working conditions, demonstrating high accuracy and stability.

Environmental temperature influence

After the high-temperature test (1000 hours at 100℃), the low-temperature test (1000 hours at -30℃), the thermal shock test (experiencing 100 temperature cycles from -30℃ to +90℃), and the electrified high-temperature test (1000 hours at +110℃ with a 1mA direct current), the variation range of the product’s parameters can all be controlled within ±1%.

This indicates that under extreme temperature environments and drastic temperature changes, the performance parameters such as the resistance value of the sensor change very little, and it can maintain high accuracy and precisely measure related physical quantities such as temperature.

Humidity influence

In both the constant temperature and humidity test (1000 hours in an environment with 95% humidity and 65°C temperature) and the working state test (1000 hours in an environment with 1 mA constant current, 95% humidity, and 65°C temperature), the variation range can be controlled within ±1%.

This indicates that in a high-humidity environment, the performance of the sensor is stable, the humidity factor has little influence on its accuracy, and it can work accurately under different humidity conditions.

Welding influence

Welding test (at a distance of 8.5mm from the chip, with a welding temperature of 260℃ ± 10% and a welding time of 2 ± 0.5s) shows that the product variation range is within ±1%.

This means that during the normal welding operation process, the sensor is less affected by the welding heat and can still maintain high precision after welding without affecting its measurement accuracy.

Physical external force influence

After the tensile test (with a 2N tensile force applied for 1 minute) and the free fall test (dropping from a height of 1 meter), no performance-affecting issues such as detachment of the colloid from the lead connection or product damage occurred in the sensor.

This indirectly indicates that its internal structure is stable and it can still maintain a normal working state under certain external forces, thereby ensuring that the measurement accuracy is not affected.

The opinion paper by Japanese scholars

Currently, we are in the process of negotiation. Considering that the product testing and verification cycle is relatively long, more time may be required. Additionally, if your company has recommended scholars or relevant institutions, you are also welcome to recommend them. Our company will actively contact them.

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