MEMSensing: Launches MSPC04-GDS1 miniature differential pressure sensor, providing a benchmark solution for blood pressure measurement in wearable devices
During exercise, heart rate, blood pressure, and blood oxygen levels are several important indicators. Collecting and processing this data helps analyze exercise behavior, improve exercise methods, and achieve better fitness results. Optical methods for measuring blood oxygen and heart rate already have good solutions in wearable devices, such as electronic wristbands and watches, which are now equipped with LED optical modules for heart rate and blood oxygen monitoring. However, human blood pressure is an important reference for athlete physical performance analysis, and there is still a lack of compact, miniaturized, and wearable products for blood pressure measurement on wearable devices. MEMSensing as a MEMS technology platform company, has launched the MSPC04-GDS1 miniature differential pressure sensor. This provides a benchmark solution for human blood pressure measurement in wearable devices.

Traditional home electronic blood pressure monitors use the oscillometric method to measure blood pressure (also called the oscillometric method). The measurement process involves automatically inflating the cuff to 30-60 mmHg above systolic pressure, cutting off blood flow in the blood vessels, and then slowly deflating (2-3 mmHg/s). When the blood vessels under the cuff open and blood flows through, the change in blood vessel volume causes a change in cuff volume, producing an oscillation wave that is transmitted to the pressure sensor via a catheter. The amplitude of the oscillation wave increases as the pressure in the cuff decreases and blood flow increases. Finally, the oscillation wave gradually decreases and disappears as the contact between the cuff and the arm loosens. The cuff pressure corresponding to the point of maximum amplitude of the oscillation wave is equivalent to the mean arterial pressure; the cuff pressure corresponding to the point of half the fluctuation before the peak is the systolic pressure; and the cuff pressure corresponding to the point of 75%-80% of the fluctuation after the peak is the diastolic pressure.


MEMSensing has been cultivating the traditional electronic blood pressure monitor market since 2009, accumulating rich industry application experience. Leading customers in the traditional electronic blood pressure monitor market, such as Jiuan Medical, Yuwell Medical, and Lecent Health, have been shipping in large quantities for many years, with a cumulative shipment of over 50 million units. Currently, such medical application products are managed by Minsic Technology's wholly-owned subsidiary Kunshan Lingke Sensing Team is responsible. The MSP40 plastic-encapsulated series of products include surface-mount and positive/reverse insertion packaging:

MSPC04-GDS1 miniature differential pressure sensor is a new type of sensor developed by Minsic Technology Co., Ltd. based on years of accumulated experience in traditional electronic blood pressure monitor application technology. By adding a conditioning circuit, it is smaller, more compact, and has a higher level of integration, making it suitable for wearable devices such as watches and wristbands. The differential pressure device measures the pressure difference between the pressure inside the watchband and atmospheric pressure, and calculates the human systolic and diastolic blood pressure through advanced artificial intelligence algorithms.
Device Characteristic Parameters
External Packaging Dimensions: 4x4x2 mm
Measurement Range: 0 ~ 300 mmHg
Pressure Absolute Accuracy: ± 3 mmHg
Noise Characteristics: < 0.1 mmHg
I 2C/SPI

When an athlete wears a wristband or watch during exercise, the system can periodically measure and record blood pressure values. The measurement process is completed through the following complete process: The main controller controls the micropump in the watch to inflate the airbag in the strap. When the static pressure difference reaches approximately 200 mmHg, the micropump stops working, and the main controller opens the exhaust valve. The gas in the strap is exhausted at a set exhaust rate, and the differential pressure sensor begins to measure the pressure in the airbag and stores the measured data in the device's memory; after the pressure data is collected, the built-in NPU (Neural-network Processing Unit) processor analyzes and processes the data stored in the memory, performs matrix operations through an established algorithm model, and thus obtains the human diastolic pressure, systolic pressure, and heart rate.

In addition, the differential pressure sensor's pressure resolution as low as 1 Pa and sampling rate as high as 128 Hz can accurately capture the weak periodic signals of pulse beating. In different exercises, exercise behavior will produce random interference to the pressure signal. Through the big data collection and analysis of different exercise behaviors, a relatively complete human blood pressure detection model is constructed under multiple exercise scenarios. This model is implanted into the neural network processor (NPU) built into the watch, allowing the watch to quickly calculate the diastolic pressure, systolic pressure, and heart rate. Combined with other sensor devices in the watch, such as inertial devices to measure the athlete's posture and pace, and blood oxygen sensors to measure the athlete's blood oxygen concentration, the sports watch can record complete physical signs data during the athlete's exercise, providing more scientific and comprehensive data support for exercise, achieving more positive results, and further tapping the athlete's potential.