Storage Protocol of wearable device

1. Storage Protocol
Arfatul Mamun
蒙田
202322800007

2. Mi Band 7
 The Mi Band 7 is a budget-friendly fitness tracker developed by Xiaomi, is
a budget-friendly fitness tracker equipped with a colorful AMOLED
display.
 Its accurate fitness tracking activities like steps, distance, and heart rate,
and is water-resistant up to 50 meters. With a long battery life of up to
20 days, it can also display notifications, track sleep, control music, and
offers customizable watch faces.
 It embodies with different kind of sensors like as PPG optical heart rate
sensor, SpO2 sensor,Heart Rate Sensor, 3-axis Accelerometer, Proximity
Sensor, 6-axis Gyroscope

3. Motherboard

4. RAM
 Winbond 25N01GW Serial Interface
(SPI) SLC NAND with 128MB capacity.
It has fast erasing and programming
performance, more than 100,000
erasing and programming cycles, and
a data retention period of more than
10 years.
 It is used to store systems and data.

5.  RENESAS DA14706 Bluetooth Low Energy wireless SoC.
Single-chip integrated power management unit,
hardware Voice Activity Detector (VAD), Graphics
Processing Unit (GPU) and Bluetooth® Low Energy
connectivity to provide smart IoT devices with advanced
sensor and graphics capabilities and seamless, ultra-low
Powerful and always-on audio processing power.
 DA14706 consists of Arm® Cortex®-M33 processor +
Cortex-M0+ sensor node controller, integrates 2D GPU
and display controller, supports DPI, JDI parallel, DBI and
single/dual/quad SPI interfaces. The configurable MAC
supports Bluetooth 5.2 Low Energy and proprietary 2.4
GHz protocols. Integrated 720mA JEITA standard USB
charger, supports rechargeable Li-ion/Li-polymer battery.
Ultra-low power hardware VAD for seamless and always-
on audio processing.

6.  TI AFE44S30 analog front end for optical biosensing
applications such as heart rate monitoring (HRM) and
peripheral capillary oxygen saturation (SpO2 )
measurement. The device supports up to eight switchable
light-emitting diodes (LEDs) and four photodiodes. Up to
24 signal phases can be defined and the signal can be
acquired from each phase in a synchronized manner.
 The photodiode current is converted to a voltage by a
transimpedance amplifier (TIA) and digitized using an
analog-to-digital converter (ADC). ADC codes can be
stored in first-in, first-out (FIFO) blocks of 128 samples.
The FIFO can be read using the SPI interface. This AFE also
features a fully integrated LED driver with 8-bit current
control. The device features wide dynamic range transmit
and receive circuitry that facilitates detection of very small
signal levels.
ST LSM6DSOWTR accelerometer + gyroscope sensor.

7. Header Flag Month Day Time Data EOS Total Bytes
HH MM SS
Bytes 1 1 1 1 1 1 1 12 3 22
Content 0x## 0x## 0x## 0x## 0x## 0x## 0x## 0x###... 0x##
Update Rate 100 Hz
Storage Required for one week 320MB
Storage Required for one month 1290MB
Header Flag Month Day length of data Segment period Data for 10 minutes Steps EOS Total Bytes
Bytes 1 1 1 1 1 1 1 2 1 10
Content 0x## 0x## 0x## 0x## 0x## 0x## 0x## 0x###... 0x##
Update Rate 0.001 Hz
Storage Required for one week 17MB
Storage Required for one month 65MB
Accelerometer:
Step Count:

8. Header Flag Month Day Time Data EOS Total Bytes
HH MM SS
Bytes 1 1 1 1 1 1 1 1 1 10
Content 0x## 0x## 0x## 0x## 0x## 0x## 0x###... 0x##
Update Rate 0.4 Hz
Storage Required for one week 250 MB
Storage Required for one month 519 MB
Header Flag Day Month Time Data X Data Y Data Z EOS Total
HH MM SS
Bytes 1 0 1 1 1 1 1 1 1 1 1 10
Content 0x## 0x## 0x## 0x## 0x## 0x## 0x###... 0x## 0x## 0x##
Update Rate 0.2Hz
Storage Required for one week 21 MB
Storage Required for one month 84 MB
HR Sensor:
Sleep Count:

9. Step Count Accelerometer HR Sleep Total
One Week(MB) 17 320 250 21 608MB
One Month(MB) 65 1290 1020 84 2459MB
Total Data Requirements

10. To reduce storage and speed up the transmission, consider the following methods:
1. Data Compression: Use data compression techniques to reduce the size of the data before transmission. This can
significantly decrease the amount of data that needs to be transmitted.
2. Data Streaming: Implement a streaming approach where data is transmitted in real-time or in smaller chunks, rather
than transmitting the entire data set at once. This can help in reducing the overall transmission time.
3.Use Higher Bandwidth Technologies: Utilize higher bandwidth technologies such as Wi-Fi or 4G/5G for faster data
transmission compared to Bluetooth.
4. Data Aggregation and Transfer Optimization: Aggregate data to be transmitted in a more efficient way, optimizing the
transfer process to minimize delays and improve overall transmission speed.
Implementing these methods can help to effectively reduce storage needs and speed up the transmission process for
transferring data from the DAQ to the smartphone.