Monthly Archives: March 2015

Creating a python module for the Contec CMS50D+ pulse oximeter (Part II)

So, in my previous post, I wrote a bit about retrieving live 60 Hz data from a Contec CMS50D+ pulse oximeter. As mentioned, the device also has another standalone mode where it records pulse rate and blood SpO2 at 1 Hz for up to 24 hours. That is, if your batteries last that long. This thing is quite power hungry.

You can read all about the recording mode in the manual. In this post I’ll focus on the actual data download from the device. There’s really not much to it, so it will be a short post this time…

Let’s look at some recorded data

Whereas the live-mode is strictly one-way, the recorded mode involves a tiny bit of two-way communication to work. You should enable xonxoff to convince Python to talk to the device. The protocol goes as follows:

  • Open a connection at 19200 baud, 1O8 with xonxoff enabled.
  • Listen for live data. If we get none, the device is disconnected or turned off.
  • Send [0xF5, 0xF5]. This switches the device to download mode.
  • Wait for the preamble. It’s three times [0xF2, 0x80, 0x00]. In the beginning we might also have some leftover live data.
  • Then we get the content length as three bytes. See below for an explanation.
  • Receive the specified number of bytes. Each measurement is three bytes. See below for an explanation. Sometimes the download fails and halts midway for some reason and has to be restarted.
  • Send [0xF6, 0xF6, 0xF6]. This switches the device back into live mode.
  • Disconnect.

Now you should have a bunch of data to insert into a spreadsheet or whatever.

The length header

The length header tells us how many bytes of data the device will send. It consists of three bytes. The first two bytes always have their MSB set while it’s never set on the last. This gives us 21 useful bits which is enough. If we have recorded 24 hours of data, this will yield 24 * 60 * 60 = 86400 measurements. And if each measurement is three bytes, then the maximum content length will be 259200 bytes. This only requires 18 bits.

Curiously enough, the content length is always one off compared to the actual data length. So we need to add 1 to the result. Let’s look at an example:

  • We have received the length header [0x81, 0x8A, 0x2C].
  • Validate and strip off MSBs from the first and second byte. Now we have [0x01, 0x0A, 0x2C].
  • Left-shift the first byte by 14 bits and the second byte by 7 bits. Combine the three numbers by using the bitwise OR operator. Now we have 0x452C or 17708 in decimal.
  • Add 1 to the result. This means that the content length is 17709 bytes.
  • Each measurement is three bytes, so we have 17709 / 3 = 5903 measurements. As the device samples at 1 Hz, this means 1 hour 38 minutes and 23 seconds worth of data.

The measurements

Each measurement consists of three bytes.

  • The first byte is always 0xF0 or 0xF1. The 1 is the MSB of the pulse rate in the next byte.
  • The second byte is the pulse rate. As the device only utilizes 7 bits per byte for data, the MSB is moved to the first byte. A human pulse rate can quite easily go over 127 BPM…
  • The third byte is the SpO2 percentage.

That’s it!

Again, all code for this project can be found on GitHub. If you have any questions, please comment below.

Creating a python module for the Contec CMS50D+ pulse oximeter (Part I)

Some time ago I wrote a bit about how to download data from a Beurer BM65 blood pressure monitor to my PC via USB using a homemade Python module. That was good fun, so when I discovered the Contec CMS50D+ pulse oximeter (which also has USB connectivity) on everybody’s favorite online auctioning site for ~$40 including shipping, I had to buy one.

Contec CMS50D+

Contec CMS50D+

So, what’s in the box?

Apart from the device itself, the box contains a special USB cable (we’ll get back to this), a lanyard (because why not), no batteries, a small mysterious CD-ROM, and a surprisingly well-written English instruction manual. The device works as expected and outputs plausible data on it’s little display, which is very crisp by the way. I can’t vouch for the validity of the blood oxidation level, but the pulse stuff seems pretty precise at least. However, this is not the important part of this blog entry. Let’s focus on getting data off the damn thing without having to rely on the official software.

Contec CMS50D+ box content

Contec CMS50D+ box content

Plugging it in

Others have already reverse engineered the protocol of this device, but let’s have a look at the bundled software anyway. After updating all the anti-malware software on my Windows box, I tried putting in the CD-ROM. So far it seems benign enough. It contains a single executable that installs a driver and two applications: one for live data display and one for downloading up to 24 hours of recorded data from the device. The software isn’t actually half bad, but as usual it’s unfortunately Windows-only. It runs in Wine, but sadly fails to connect to the device.

The bundled driver is for the Silicon Labs CP210x series of USB to UART converters, which simplifies things considerably. Now it’s just a matter of sniffing some serial traffic. In Linux, dmesg agrees with this when the device is plugged in:

CP2102 detected!

CP2102 detected!

Fun fact: The CP2102 chip is also detected if I only plug in the bundled USB cable and leave the pulse oximeter itself disconnected. Apparently this cable has a built-in USB to UART converter! That’s a bit weird considering the mini-USB plug at the other end… Even though the device itself sports a mini-USB connector, it’s not actually USB compliant and it won’t work at all with regular USB cables. So don’t throw away the special “USB cable”!

Let’s look at some real-time data

The device has two modes: real-time data and recorded data (up to 24 hours). The former streams data via the USB connection as it’s measured, while the latter is useful for situations where a running PC would be impractical. The real-time mode offers relatively rich 60Hz data while the historical mode only supports 1Hz averaged pulse and Spo2 readings. Coding-wise the real-time mode is the simplest as its protocol is one-way, so it’s a good place to start. I’ll cover the recorded data mode in another post.

Anyway, I tried starting the live data application through API Monitor v2 like I did for the blood pressure monitor. Immediately when the live data application starts, it starts spamming the SetCommState API call in Kernel32.dll trying to open all available COM ports at 4800, 19200, and 115200 baud in quick succession. All three bitrates are configured as 8O1 (oddly enough). Perhaps this is in order to support several slightly different devices?

Another slightly odd thing is that the device is always transmitting data without any handshake. All the computer has to do is to open the right virtual serial port at 19200 baud 8O1. Yet another slightly odd thing is the protocol itself. Each data packet is 5 bytes long and according to some documentation found on the web, 60 packets are sent per second. The first byte always has its MSB set to 1 while the four others always have it set to 0. According to said documentation, the meaning of the 5 bytes are as follows (spelling errors and all):

bytebitcontent
10~3Signal strength for pulsate(0~8)
41=searching too long,0=OK
51=dropping of SpO2,0=OK
61=beep flag
7Synchronization,always be 1
20~6pulse waveform data
7synchronization,always be 0
30~3bar gragh (stand for pulsate case)
41=probe error,0=OK
51=searching,0=OK
6bit 7 for Pulse Rate
7synchronization,always be 0
40~6bit 0~bit 6 for Pulse Rate
7synchronization,always be 0
50~6bit 0~bit 6 for SpO2
7synchronization,always be 0

I think this information is for a slightly different model (hence the 4800 baud setting instead of my device’s 19200 baud), but it seems legit. In any case, I have yet to see data that doesn’t make sense according to this table.

Like last time, I have implemented a small python script that is able to connect to the device. It takes a few command line arguments and outputs a CSV file with the received data.

All code for this project can be found on GitHub.

Next up: Retrieving historical data for the last 24 hours… Stay tuned…