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M - Normal Mode- Mobile receiving data (5-Lead ECG)
N - Normal Mode(3-Lead ECG)
F - AFE Only Mode - Turnoff ADS and only receive AFE PPG data. Encoding Formant not change, ADS data fills zero.
A - ADS Only Mode (5-Leads)
B - ADS Only Mode (3-Leads)
T - Stop & Wait Mode
X - Select CH I
Y - Select CH II
Z - Select CH III
Abnormal Situation:
Receiving all 0 in ECG Data: Leads off
Receiving all 0 in PPG Data: SPO2 Probe off
Receiving all 1 in PPG Data: Fingers not in.
The text was updated successfully, but these errors were encountered:
M mode Works well, lead selection and 3/5 lead switching functions are performing well.
The main problem I think is still the ECG waveform stability. In my opinion, only using FIFO to compute the baseline is not enough, what you might want to do, is to set a threshold when adding data into the FIFO, you can look at my processing code, there is a lot of functions like boolean isabnormal(int data)
So we'll ignore too large or small value when computing baseline, in that case, we even ignore R wave in ECG, maybe our baseline problem is due to that R wave.
The AFE only and ADS only mode works totally bad, the display is a huge mass. You might want to look at that carefully.
Android Send Command:
M - Normal Mode- Mobile receiving data (5-Lead ECG)
N - Normal Mode(3-Lead ECG)
F - AFE Only Mode - Turnoff ADS and only receive AFE PPG data. Encoding Formant not change, ADS data fills zero.
A - ADS Only Mode (5-Leads)
B - ADS Only Mode (3-Leads)
T - Stop & Wait Mode
X - Select CH I
Y - Select CH II
Z - Select CH III
Abnormal Situation:
Receiving all 0 in ECG Data: Leads off
Receiving all 0 in PPG Data: SPO2 Probe off
Receiving all 1 in PPG Data: Fingers not in.
The text was updated successfully, but these errors were encountered: