Blog - All Comments

RE: Skier impact monitor 16 - short introduction and manual

tonydbeck — Wed, 02 Jan 2019 22:07:18 GMT

Interesting project..... It would be good to use a device like this in boxing! Would be very interesting to see how much impact the head takes.

RE: Sudden Impact - Crown Tools and Heart Reactor - updates 1-39

kk99 — Sat, 30 Jun 2018 10:51:05 GMT

Awesome project, congratulations Douglas [View:/resized-image/__size/16x16/__key/commentfiles/f7d226abd59f475c9d224a79e3f0ec07-526e36ca-6866-461f-b258-a71d5c7300a9/1321.contentimage_5F00_1.png:16:16]

RE: Part1.3 ECG output of AD8232

teprojects1 — Tue, 08 Aug 2017 11:27:54 GMT

I would Like to add More on TL072 here you will found some basic and datasheet to understand it more.

Teprojects.1

RE: Part1.4 ECG Beat Rate [QRS complex detection]

jackliu — Fri, 26 May 2017 09:20:40 GMT

Thanks for this post. Nicely detailed. please send me this section sourcecode ,david19984@126.com ,thanks!

RE: Project Report - Wearable Sudden Impact and Health Monitor final Update

jiyan — Thu, 16 Mar 2017 16:08:11 GMT

Hello,Sir,I got a assignment that is quite similar to what you did for ECG. I followed this link:https://learn.sparkfun.com/tutorials/ad8232-heart-rate-monitor-hookup-guide for hardware and I connected the hardware to the HC-06 bluetooth module. My codes in the Arduino board is https://github.com/sparkfun/AD8232_Heart_Rate_Monitor/blob/master/Software/Heart_Rate_Display_Arduino/Heart_Rate_Display… , Is your Arduino codes for ECG is the same as mine? Could you give me the Android codes that can be used for my ECG project? Or could you tell me the communication protocol of my Arduino codes that enables my Arduino board to communicate with the Android?My email is vincentsouthamptonnj@gmail.com

Thank you so much for your help !

Best regards

RE: Part1.4 ECG Beat Rate [QRS complex detection]

mctosima@gmail.com — Thu, 16 Feb 2017 06:05:02 GMT

Hi , actually im doing some research according to determine abnormalities in heart using ad8232. I need to identify and classify the QRS wave including P wave, QRS complex and T wave.

I'm using Arduino. How to apply this filter in arduino ?

Because when the body moves, the signal output from ad8232 that plotted using arduino processing software is error.

I'm not really good on signal processing btw.

I'm really happy if u could explain it to me [View:/resized-image/__size/16x16/__key/commentfiles/f7d226abd59f475c9d224a79e3f0ec07-87cd7ce3-ad54-4cc7-9c5b-4ff466124b92/4048.contentimage_5F00_1.png:16:16].

my email is mctosima@gmail.com

RE: Project Report - Wearable Sudden Impact and Health Monitor final Update

Former Member — Fri, 29 Apr 2016 07:43:17 GMT

Hello [mention:20de3d39ce8d4f81acb3a7a4693cbeac:e9ed411860ed4f2ba0265705b8793d05]

I want ask you what is the type of output signal from the receiver QAM-RX2 and what processing is performed by Arduino?

what is the algorithm used?

Thank you !

RE: Project Report - Wearable Sudden Impact and Health Monitor final Update

Former Member — Sat, 27 Feb 2016 19:15:14 GMT

hello [mention:20de3d39ce8d4f81acb3a7a4693cbeac:e9ed411860ed4f2ba0265705b8793d05],

I want ask you which is the Amp-Op that you used to realize the pulse oximetry ?
Can I have more informations about hardware of pulse oximetry , and the software part pulse oximetry and ECG module?

Thank you .

RE: Project Report - Wearable Sudden Impact and Health Monitor final Update

clem57 — Mon, 15 Feb 2016 00:26:31 GMT

[mention:20de3d39ce8d4f81acb3a7a4693cbeac:e9ed411860ed4f2ba0265705b8793d05]

Since the site wide upgrade a few weeks ago, all links may have broke,

RE: Project Report - Wearable Sudden Impact and Health Monitor final Update

Former Member — Sun, 14 Feb 2016 17:15:03 GMT

Hello [mention:20de3d39ce8d4f81acb3a7a4693cbeac:e9ed411860ed4f2ba0265705b8793d05]
I can't open the link for the code for arduino nano V3.
Can you tell me the code please ?

Thank you !

RE: Part3.1 - Head Impact Detection [ADXL377]

Former Member — Mon, 02 Nov 2015 23:39:00 GMT

If I Use your method:
have raw values = (352,352,353)
1)Now say, CalX = 0 , CalY = 0, CalZ = 0 and

2)1024 Values are (352,352,353)

3) Dividing by 1024 we get (0.350,0.349,0.351)
4)Now , CalX = 0.350 , CalY = 0.349, CalZ = 0.351
5)Now Next reading Substract Calx,CalY, CalZ from new averaged raw datas(i mean after dividing by 1024)
6)for each change of one LSB , we add or substract 0.75g , so for each 0.1 change in ADC datas in step 5, we add or substract 0.075.

Is it correct? I have a doubt , If i get nest raw datas averaged as (0.350,0.349,0.351) and after substracting CalX, calY, CalZ, we get (0,0,0)G, instead of (0,0,1) G.

Should i manupulate the reading so as to get (0,0,1)G here?

RE: Part3.1 - Head Impact Detection [ADXL377]

hlipka — Mon, 02 Nov 2015 18:58:03 GMT

Regarding the calibration: I wrote it for the PSoC4 BLE, and used a ADXL375. So maybe its not really useful to paste my code. The logic I used was:

set the calibration values to 0
read 1024 values for each axis and add them
divide each result by 1024 (shift-left 10 bits) to get the average
store the result in the calibration values
afterwards, when reading values, substract the calibration values from the result

RE: Part3.1 - Head Impact Detection [ADXL377]

hlipka — Mon, 02 Nov 2015 18:52:47 GMT

After doing some more math, I think you should use an external ADC with higher resolution. In your setup one LSB of the ADC result corresponds to 4.88mV. And the ADXL377 gives you 6.5mV/g, so that each single bit by which the output changes (and this easily in the noise here given that your 5V power rail is probably not that stable and clean) changes your result by 0.75g,.

Regarding the measured voltages - what is the supply voltage for the ADXL377? Its outputs are ratiometric, meaning that the zero-G output is always half of the supply voltage (+-0.5V according to the data sheet). If your reference is actually 5V, your result of 367 would mean 1.79V which is a little bit high.

RE: Part3.1 - Head Impact Detection [ADXL377]

Former Member — Mon, 02 Nov 2015 15:22:04 GMT

Hello,
I am using this ADXL377 to detect some high rotational motion. I used the following code from Sparkfun
https://github.com/sparkfun/ADXL377_Breakout/blob/master/firmware/ADXL377_example/ADXL377_example.ino

However my OUTPUT in the normal scenario (Sensor resting on a table flat on surface) is as follows

X: 367

Y: 367

Z: 369

X: 8.74 g

Y: 8.74 g

Z: 9.33 g

X: 367

Y: 367

Z: 369

X: 8.74 g

Y: 8.74 g

Z: 9.33 g

I am using Arduino Mega and selected boolean micro_is_5V = true;

scaledX = mapf(rawX, 0, 675, -scale, scale); // 3.3/5 * 1023 =~ 675

scaledY = mapf(rawY, 0, 675, -scale, scale);

scaledZ = mapf(rawZ, 0, 675, -scale, scale);

Can you please tell, What is going wrong here? How can i calibrate it to get nearly (0.0.1)G values in standstill condition?

Thanks

RE: Skier impact monitor 11 - When blue teeth start talking

Former Member — Tue, 22 Sep 2015 07:48:25 GMT

Hi,

I'm working on the CY8CKIT-042-BLE for a personnal project, to create a led lighting system wich can be controlled with a phone.

Your project and your posts really help me to have a better understanding of what is really the BLE!

But I still have some problem with the Android application. I can find the device but I can't send data to it with my phone.

I think it's due to the way I'm connecting to the PSoC BLE.

Before I was using a BLE from RedBearLab and I managed to create an Android application wich can talk to my LED lighting system.

Do you have some advise to create the Android application for the PSoC BLE?

Thank you.

Anthony B.