HEART RATE 9 CLICK
PID: MIKROE-3822
Weight: 18 g
The Heart Rate 9 click is a Click board™ which features PIC16F1779 8-bit MCU and SFH 7060
heart rate and pulse oximetry monitoring sensor. This click has an algorithm for processing data
from the sensor and it can send data for 3 different diodes (green, ir, red) who give out a diagram of
the heartbeat and its frequency per minute. The data has shown that the most notable signal comes
from the green diode because it has the best reflection through the surface of the skin due to its
shortest wavelength among three light sources. Implementing a light barrier to block optical crosstalk
and improved geometry for optimized signal quality. Most reflective heart rate monitors still have
significant noise in their designs despite the use of complex and expensive analog circuits such as
Analog Front End (AFE) chips. A more cost-effective method for reducing noise and taking these
measurements is necessary.
The Heart Rate 9 click is supported by a mikroSDK compliant library, which includes functions that
simplify software development. This Click board™ comes as a fully tested product, ready to be used
on a system equipped with the mikroBUS™ socket.
HOW DOES IT WORK?
The Heart Rate 9 Click board™ utilizes a Phase Division Multiplexing technique to
simultaneously measure multiple signals with zero cross talk. This technique is
implemented using the PIC16F1779 MCU’s integrated Core Independent Peripherals
(CIPs) from Microchip. Using the CIPs allows you to achieve a low-noise reflective heart
rate monitor design with significantly lower BOM costs than conventional designs.
This Heart Rate 9 Click board™ introduces Microchip's proprietary method (hereafter
“proprietary method”) of measuring multiple signals in a body using pseudorandom
binary sequence generation and phase division multiplexing. This proprietary method
uses a special encoding/decoding scheme to allow multiple light-emitting diodes (LED)
transmitting light simultaneously with a single photodiode to condition each light from
the combined lights at the receiving side.
While the blood passes through the capillary blood vessels, they expand and dilate.
Their light reflectance index changes accordingly. This is the basis of the photoplethysmogram (PPM), a method used for the volumetric measurement of an organ, or
in this case - blood vessels. The heart rate signal is calculated according to the changes
of the reflected green light, sensed by the PD element. The Heart Rate 6 click can
provide the HRM readings by simply placing the index finger over the optical sensor.
Oxygen saturation in the blood can be determined by measuring the light absorption in
the red/IR part of the spectrum. The oxygen saturated blood absorbs more red light and
less infrared than the unsaturated blood. This fact can be used to determine the oxygen
saturation of the blood. For a healthy adult person, the peripheral capillary oxygen
saturation (SpO2) percentage ranges from 95% to 100%.
The challenge in a multiple signal sources system (for example, the LEDs in the case of
a pulse oximeter) is that each LED must share the same photodiode. A classic solution
is to turn on each light source in sequence and then take each measurement in turn.
Each light source gets its own slice of time in which the photodiode can get its
measurement. This method is called Time-Division Multiplexing (TDM). The same
principle is also applied to the TDMA-based cellular system. The drawback of the TDM
approach is that adding more light sources, while keeping the data processing routine
the same, results in more time to get a measurement from every source.
Microchip’s proprietary method uses a known concept called Maximal Length (ML)
sequence, a type of pseudorandom binary sequence, to generate a gold code or a
reference sequence. This reference sequence is then phase shifted using
PhaseDivision Multiplexing (PDM) to drive multiple LEDs. The light amplitudes from
these LEDs, after passing through a part of a body, are detected by a phototransistor or
photodiode and digitized with an Analog-to-Digital Converter (ADC). The digitized ADC
light amplitude values are re-correlated with each LED’s driving sequence. Spread
spectrum techniques are known for their noise mitigation properties and ability to pass
multiple signals through the same medium without interference. Thus, these
measurements of each light absorption of the body can be performed substantially
simultaneously with minimal interference from each other.
The SFH7060 made by OSRAM integrates three green, one red, one infrared emitter
and one photodiode that are all placed in a reflective type of package. The reflective
photosensing method has become increasingly popular in developing small, wearable
biometric sensors, such as those green light sensors seen in the back of smart watches
or activity tracker wristbands.
SPECIFICATIONS
Type
Heart Rate,Biometrics
Applications
It can be used to develop applications based on the heart rate monitoring, pulse
oximetry measurements, calorie expenditure, and similar health-related
applications.
On-board
modules
PIC16F1779 MCU and SFH 7060 sensor
Key Features
Single-chip implementation using an eXtreme Low Power (XLP) PIC16F1779 8bit MCU, Integrated features of the 8-bit MCU use a Phase Division Multiplexing
technique to simultaneously measure multiple signals with zero cross talk, Low
overall BOM cost due to integrated Core Independent Peripherals ( CIPs) and
Analog features, Core Independent Peripherals reduce software overheard.
Interface
GPIO,UART
Compatibility
mikroBUS
Click board
size
M (42.9 x 25.4 mm)
Input Voltage
3.3V
PINOUT DIAGRAM
This table shows how the pinout on Heart Rate 9 click corresponds to the pinout on the
mikroBUS™ socket (the latter shown in the two middle columns).
Notes
Pin
Pin
Notes
NC
1
AN
PWM
16
NC
RST
2
RST
INT
15
NC
NC
3
CS
RX
14
TX
UART Transmit
NC
4
SCK
TX
13
RX
UART Receive
NC
5
MISO
SCL
12
NC
NC
6
MOSI
SDA
11
NC
Power Supply
3.3V
7
3.3V
5V
10
NC
Ground
GND
8
GND
GND
9
GND
Reset
Ground
ONBOARD SETTINGS AND INDICATORS
Label
Name
Default
Description
LD1
PWR
-
Power LED Indicator
LD2
RED
-
Pulse Detection Indicator
SOFTWARE SUPPORT
We provide a library for the Heart Rate 9 Click on our LibStock page, as well as a demo
application (example), developed using MikroElektronika compilers. The demo can run
on all the main MikroElektronika development boards.
Library Description
Initializes and defines UART bus driver, and defines driver's functions for reading Heart
Rate data uses Heart Rate 9 clicks.
Key functions:
•
•
uint8_t heartrate9_read_byte() - Read Single Byte
uint8_t heartrate9_byte_ready() - Check for new byte received/li>
Examples description
The application is composed of three sections :
•
System Initialization - Initializes UART module
•
Application Initialization - Initializes Driver init and logs instructions on commands and format of
response data
•
Application Task - Waits for valid user input and executes functions based on set of valid commands
void applicationTask()
{
char hr9_rx_data;
char console_rx_data;
uint8_t hr9_drdy_flag;
uint8_t console_drdy;
console_drdy = UART_Rdy_Ptr( );
if ( console_drdy != 0 )
{
console_rx_data = UART_Rd_Ptr( );
if ( ( console_rx_data == 's' ) || ( console_rx_data == 'S' ) )
{
mikrobus_logWrite( " >> [s or S] - START > [b or B] - BREAK > [h or H] - HELP
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