Optimizing Read Operations for Sensor Data in MATLAB

Hello MATLAB Community,

I’m working with an Arduino Uno connected to four hall-effect sensors and an IMU. My MATLAB script reads sensor data in a while loop to display it in real-time plots. To improve the loop's execution speed, I combined three separate IMU 'read' commands into one:

matlab code:

imu1.OutputFormat = 'matrix'; [accel, gyro, magn] = read(imu1);

This change sped up the loop significantly. However, after about 10 seconds, MATLAB throws an error: "Receive on demand storage buffer is full". The error occurs when reading the voltage of the hall-effect sensors:

matlab code:

v_A3 = (readVoltage(a,"A3")-A3_offset); % ... other code ...

I suspect the combined read commands cause a buffer overflow due to the speed at which data is sent from the Arduino. My questions are:

1. Is there a way to circumvent the storage buffer error by flushing the buffer after each loop iteration?
2. Can I read the voltages of four separate analog pins with a single command to reduce the number of read operations?

I’ve attached the relevant code and error screenshots. Any advice on optimizing the while loop for speed and stability would be greatly appreciated.

Thank you for your help!