ekg | Remote monitoring of running processes over HTTP | Monitoring library
kandi X-RAY | ekg Summary
kandi X-RAY | ekg Summary
This library lets you remotely monitor a running process over HTTP. It provides a simple way to integrate a monitoring server into any application.
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Top functions reviewed by kandi - BETA
- Plotting the plot area
- Set tick logic
- Draws the series lines .
- Process raw data from series
- Draw the grid .
- Draws the line area of a point .
- Handle the response
- Draw a bar .
- add metric metrics table
- Live event handler
ekg Key Features
ekg Examples and Code Snippets
Community Discussions
Trending Discussions on ekg
QUESTION
I am a beginner with React and trying to do some Routing.
I'm trying to implement Route in React to redirect to another page, but everytime i insert , it shows error: Invalid hook call.
Here's the code from App.js
...ANSWER
Answered 2022-Jan-05 at 14:25You need to use Route
inside Routes
try this
QUESTION
I am trying to create in df1
the column Factor
based on the dictionary df2
. However the Code
columns for mapping are not exactly the same and the dictionary only contain the Code
strings partially.
ANSWER
Answered 2021-Nov-06 at 07:45>>> df1['Code'].str[:5].map(df2.set_index('Code')['Factor'])
0 1.0
1 1.3
2 1.3
3 1.0
4 1.3
5 1.0
6 0.9
7 0.9
Name: Code, dtype: float64
>>> (df2.Code
.apply(lambda x:df1.Code.str.contains(x))
.T
.idxmax(axis=1)
.apply(lambda x:df2.Factor.iloc[x])
)
0 1.0
1 1.3
2 1.3
3 1.0
4 1.3
5 1.0
6 0.9
7 0.9
dtype: float64
QUESTION
I am trying to display real time ecg data output from a device to a Winforms chart.
It's working pretty well, but I can't seem to remove the data points from the left hand side of the chart as new points are added, and the major grids shrink and grow.
Here is the code in the timer:
...ANSWER
Answered 2021-Oct-17 at 12:52Pay attention, time.AddSeconds(1 / 500);
has no effect.
I guess you insert every time the same time in the chart.
Maybe your intent was
time = time.AddSeconds(1d / 500);
Note also the d
. Because 1/500
is equal to 0
.
QUESTION
The Pan Tompkins algorithm1 for removing noise from an ECG/EKG is cited often. They use a low pass filter, followed by a high pass filter. The output of the high pass filter looks great. But (depending on starting conditions) the output of the low pass filter will continuously increase or decrease. Given enough time, your numbers will eventually get to a size that the programming language cannot handle and rollover. If I run this on an Arduino (which uses a variant of C), it rolls over on the order of 10 seconds. Not ideal. Is there a way to get rid of this bias? I've tried messing with initial conditions, but I'm fresh out of ideas. The advantage of this algorithm is that it's not very computationally intensive and will run comfortably on a modest microprocessor.
1 Pan, Jiapu; Tompkins, Willis J. (March 1985). "A Real-Time QRS Detection Algorithm". IEEE Transactions on Biomedical Engineering. BME-32 (3): 230–236.
Python code to illustrate problem. Uses numpy and matplotlib:
...ANSWER
Answered 2021-Jun-24 at 04:54The trick seems to be the initial conditions. Load the first 13 values of input and output of low pass filter to zero and the bias goes away.
QUESTION
I am currently having trouble with my EEG data that I have from the Siena Scalp Database from physio. The EEG data that I have has around 30 channels and a text file that displays when a seizure occurred. I have written some code that exports the results into a excel file with the correct channel names, but I do not have a time record. [This is my code for exporting the EEG data to CSV][1]
Code Exporting EEG Data ...ANSWER
Answered 2021-Apr-04 at 01:09I assume that the edf files already have timestamps which can be read using the mne module. Therefore, I would propose to make use of it instead of generating new timestamps. The mne.io.Raw method to_data_frame converts the object to a pandas data frame and allows you to specify the time format.
For example:
QUESTION
I currently have a dictionary of dictionaries in Python. They may look something like this:
...ANSWER
Answered 2021-Feb-09 at 04:50For counting things quickly, I would use the collections.Counter module.
QUESTION
I currently have a dictionary of dictionaries in Python. They may lo0ok something like this:
...ANSWER
Answered 2021-Feb-09 at 03:15counter = sum(value["mentions"] == 5 for key, value in stocks.items())
if counter > 10:
stocks = {key: value for key, value in stocks.items() if value["mentions"] != 5}
QUESTION
I have a .txt file in the sample as below
...ANSWER
Answered 2020-Dec-08 at 13:06Try this:
QUESTION
I have two services deployed on Google cloud infrastructure; Service 1 runs on Compute Engine and Service 2 on Cloud Run and I'd like to log their memory usage via the ekg-core
library (https://hackage.haskell.org/package/ekg-core-0.1.1.7/docs/System-Metrics.html).
The logging bracket is similar to this :
...ANSWER
Answered 2020-Jul-04 at 19:02Thinking a bit longer about this, this behaviour is perfectly reasonable in the "serverless" model; resources(both CPU and memory) are throttled down to 0 when the service is not processing requests [1], which is exactly what ekg picks up.
Why logs are printed out even outside of requests is still a bit of a mystery, though ..
[1] https://cloud.google.com/run/docs/reference/container-contract#lifecycle
QUESTION
I have several clinical notes corresponding to a single patient. Each note consists of several sections like, allergies, medications, past medical history, etc. All of them are unstructured, i.e., there is no particular order in which secions appear.
This is the sample physician note:-
...ANSWER
Answered 2020-Jun-06 at 12:28I did a rewrite.
Adding the function check_section
to check for start of a new section. If it is not another section, than lines can be added to the current section.
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