According to a report released by research institute IDC, smart bracelets accounted for half of the market share of wearable devices in the first quarter of 2016; in the second quarter of 2016, IDC has removed the data from the bracelets. And it is expected that by 2020, the market share of smart bracelets in wearable devices will drop to 28.5%.
It can be seen that the sales volume of smart bracelets is declining. It has to be faced that the smart bracelet has a single function and can be easily replaced by other electronic products. Although many brands work from the outside, the smart bracelets are close to the fashion. But with little success, it has limited appeal to consumers. It is with such a development bottleneck that the smart bracelet should seek a way out.
The development of the smart bracelet market has encountered bottlenecks. Perhaps the following solutions have implications for the search for breakthroughs and transformation of smart bracelets.
At present, from smart watches to sports bracelets, these wearable applications can send the collected activity data to the smartphone or tablet through Bluetooth wireless technology, and feedback various health activities to users through cloud data analysis. News.
First, the sports bracelet solution based on ST BlueNRG-1
The BlueNRG-1 is based on the Cortex M0 ultra-low power Bluetooth network processor and is further integrated with the previous generation BLUENRG-MS. The BlueNRG-1 is a very low power BLE single-mode network processor that complies with the Bluetooth specification 4.2 and offers significant security improvements.
The BlueNRG-1 achieves extremely low average current consumption in extremely low power sleep mode and very short transition times between operating modes, extending battery life. The large transmission power of BlueNRG-1 makes the signal propagation distance increase, and it is easier to find the target signal in the environment of multiple signal sources.
BlueNRG-1's operating temperature range is -40 ° C to 105 ° C, greatly improving the chip's high temperature performance. A typical consumer chip with a working range of -40 ° C to 85 ° C. ST relies on its own crystal source factory and has introduced the car-grade BLE BlueNRG-1.
[scheme block diagram]
ã€System functions】
(1) BlueNRG-1: Bluetooth low-power data wireless transmission, the data transmission receiving end of the sensor is processed for data processing.
(2) Pedometer: The LSM6DS3 integrates a hardware step counter function, which makes it easy to perform the step counting algorithm.
(3) Detection of relative altitude: After detecting the change of atmospheric pressure value of LPS25HB, it is relatively easy to detect the relative altitude.
[scheme characteristics]
1. Working voltage: 1.7V-3.6V.
2. 16MHz or 32MHz crystal.
3. Operating temperature: -40 ° C to 105 ° C.
4. 32MHz M0 core.
5. 24K memory RAM.
6. 160kB flash.
7. Rich SPI, I2C, UART interface.
8. 15 GPIOs.
9. 10bit ADC.
10. Low power consumption: RX 7.3 mA, TX 8.2mA@0 dB, sleep 1uA
11. Transmit power: +8 dB m
12. Receive sensitivity: -88dB
13. Package: WLCSP34 (2.71x2.58), QFN32 (5x5mm).
Second, the smart bracelet solution based on Ambiq Apollo-512 low-power MCU
Care heart rate bracelet Apollo-512 + 8002 + MCUBE 3630 + BLE Nordic51822.
The Apollo MCU is based on the 32-bit ARM Cortex-M4 with Precision Floating Point Unit (FPU), which reduces power consumption by five to ten times in real-world applications compared to other MCU competing products. Extend battery life, choose to use smaller or smaller batteries, and/or have the ability to add new features that were previously impossible; these benefits are critical for wearable electronics and other battery-powered applications.
Ambiq uses the patented Subthreshold Power OpTImized Technology (SPOT) platform to achieve these amazing power improvements, and another unique feature of the Apollo MCU is the ability to optimize both work and sleep mode power. When executing instructions in flash, it consumes as little as industry-leading 34μA/MH and has sleep mode currents as low as 140nA.
[scheme block diagram]
ã€System functions】
a. MCU: ARM Cortex M4F
b. 24H heart rate test
c. Step, sleep, calorie test
[scheme characteristics]
a. Using Ambiq ultra low power MCU
b. original phase 8002 heart rate test
c. A good helper for hospital care
3. Smart Health Bracelet Solution Based on Toshiba TZ1021+ AMS AS7000
Nowadays, the health care and elderly population is increasing. The demand for wearable health detection is doubled so that the heartbeat changes of the elderly, young children or anyone in need can be detected at any time.
[scheme block diagram]
ã€System functions】
The AMS AS7000 heartbeat sensor is used as the detection front end. After the LED is transmitted through the skin, the current refracted through the skin is amplified. The TZ1021 accurately converts the ADC and transmits the heartbeat information to the mobile app through BLE.
[scheme characteristics]
The Toshiba TZ1000 Series application processor integrates Bluetooth® Low Energy (LE), low-power wireless communication standards, sensors, processors and flash memory.
These features are tightly integrated into a single packaged chip, which reduces the mounting area and is ideal for small wearable devices. The application processor analyzes and processes the data acquired by the sensor and has very low power consumption, so it is suitable for wearable devices that require long-term operation of the battery.
The TZ1021 integrates a high-resolution ADC that converts simulated signals from external sensors (such as pulse waves and electrocardiograms) into digital data and transmits it to an internal processor.
The TZ1021's high-performance ARM® Cortex®-M4F and floating-point processing unit combines data from multiple sensors (internal and external sensors) for improved accuracy.
The AS7000 has the smallest sensor size available today, coupled with a low-noise optical front-end design and its special algorithms to provide highly accurate optical rhythm measurements.
4. Smart health bracelet based on Toshiba TZ1041
This program is a smart health wristband that integrates ECG, blood pressure and pulse. In the aspect of blood pressure measurement, it adopts non-inflatable blood pressure monitoring technology and uses the big data dynamic blood pressure algorithm. In terms of heart rate measurement, it supports dynamic measurement, high accuracy, leading position in the industry, and adopts photoelectric volume technology to continuously collect ECG, blood pressure and pulse, making the data more accurate. In addition to this, there are functions such as step counting, calories, sleep monitoring, and vibration reminders. Use Bluetooth 4.0 and mobile phone connection to support android/ios system.
[scheme block diagram]
ã€System functions】
1. Electrocardiogram: ECG signals are collected through a high-precision analog front end.
2. Blood pressure: Abandoning the traditional measurement method, using the big data dynamic blood pressure algorithm.
3. Pulse: Pulse is measured by PPG.
4. Step: Accurately calculate the number of steps to understand the movement.
5. Sleep: Monitor sleep and provide scientific advice.
6. Calories: Calculate the calories burned by exercise.
7. Vibration reminder: vibration reminder through the motor.
[scheme characteristics]
Highly integrated: The TZ1041 processor integrates a low-power Bluetooth wireless communication module (BLE), sensor, memory and ARM Cortex-M4F 48MHz processor in one package. The functions necessary for wearable devices are also integrated into a single package, which also contributes to the design of small systems while increasing the freedom of independent design.
Ultra-low power consumption: The TZ1041 application processor family is designed to minimize the power consumption and prepare a variety of power modes to choose from, providing the possibility to run the wearable device for as long as possible.
High-precision analog front end: Another feature of the TZ1041 application processor is its high-performance analog front end (AFE), which integrates a 24-bit high-resolution analog-to-digital (A/D) converter for analog signals from external sensors. (Biomedical signals), such as pulse and electrocardiogram (ECG) signals, are converted to digital signals and transmitted to internal processors to provide a more efficient solution for the healthcare market.
The analog front end can realize the detection of biomedical signals such as pulse while achieving high precision while ensuring high precision.
Highly accurate: an internal embedded ARM Cortex-M4F processor with high performance ARM Cortex-M4F and floating point processing unit with digital signal processor (DSP) that integrates data from multiple internal and external sensors for improved accuracy Sex (sensor fusion) to increase the reliability of the data.
Integrated Bluetooth wireless communication: The integration of Bluetooth low energy controllers and radio frequency (RF) circuitry enables the transfer of raw and processed data to external devices such as smartphones and tablets. In addition to the compact body, the most important performance of the wearable device is the ability to communicate with the outside world. The TZ1041 series supports low-power Bluetooth wireless connection for fast and seamless data sharing.
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