With the continuous development of technology, smart home and wearable devices have become an integral part of our daily life. Among them, smart diapers, as an innovative product for specific user groups, are gradually gaining attention and recognition in the market. Smart diapers are built-in with Nanochap's biomolecular signal processing chip, Nine Senses Series BMS002, which realizes real-time monitoring and data analysis of the user's health condition through advanced biomolecular signal processing technology, providing strong support for clinical medicine and family applications.

The working principle of the smart diaper mainly relies on the high-precision measurement and analysis capability of the BMS002 chip. This chip is a bio-small signal SoC chip independently developed by Nanochap, which is capable of measuring and analyzing small signals at the biomolecular level, thus realizing non-invasive, highly efficient and quantitative biomolecular signal detection. In the application of smart diapers, the BMS002 chip, through the built-in sensors, is able to monitor various parameters in the urine in real time, such as uric acid content, thus providing users with feedback on their health status.

The process of using the smart diaper is very simple. Users just need to wear it like a regular diaper. When urine comes into contact with the diaper, the built-in sensors will immediately capture the biomolecular signals in the urine and transmit these signals to the BMS002 chip for processing. The chip will quickly and accurately analyze these signals to determine the uric acid content of the urine and other key indicators, and send the results to the user's mobile app in real time. In this way, the guardian can check the user's health condition at any time, find abnormalities in time and take corresponding measures.

The application scenario of smart diapers is very wide. It is not only suitable for infants, the elderly, mobility-impaired patients and other people who need long-term monitoring of health conditions, but can also be used in home care, rehabilitation training and other areas. Through real-time monitoring of biomolecular signals in urine, smart diaper can help users discover potential health problems in time, such as urinary tract infections, abnormal kidney function, etc., so as to provide users with personalized health management and treatment plans.

The use of Nanochap's biomolecular signal processing chip Nine Senses Series BMS002 on smart diapers not only reflects the innovative application of technology in the field of medical and health care, but also provides a more convenient and efficient solution for users' health management. With the continuous progress of technology and growing market demand, I believe that smart diapers will play a more important role in the future, escorting the health of more people.

(Schematic diagram of BMS002 chip)

Nanochap Nine Senses Series BMS002 biomolecular signal processing chip advantages and features

1. High detection accuracy. 16bits ADC, supports 40~2048 oversampling configuration.

2. High integration. Integrated Crotex-M0 core, 1~32K complex impedance detection circuit, built-in adjustable bias voltage micro-current detection circuit, support four-electrode current detection.

3. Multiple detection types. Detect blood glucose, lactate, uric acid, bilirubin, electrolyte, creatinine, cholesterol, ketone body and other biomolecular signals.

Product parameters

● Supply voltage: 1.35V-1.65V

● Communication interface: UART

● Debugging interface: SWD

● Package: QFN32 4mm×4mm

● Current detection

-Number of electrodes: 4

-ADC precision: 16bits

-Detectable parameters: lactate, uric acid, glucose, electrolytes, bilirubin, creatinine, ketone bodies, cholesterol, and other trace parameters.

● Impedance detection

-ADC: 250KSPS,10bits

-Impedance range: 1-300kΩ.

-Impedance phase range: -90° - 90

-Application scenarios: impedance measurement, medical/industrial biomolecular sensors, DNA/RNA/miRNA/protein detection, peptide/enzyme/metabolite detection, biomarker detection.