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Tag Archives: spinal cord injury.
Neurologic Alterations. 2022 Best
This paper explores neurologic alterations. For this paper, you will need to describe and discuss the medical management, communication/teaching for patients and families, cultural considerations, and provide three relevant priority nursing interventions
Neurologic Alterations.
Instructions With this assignment, you will learn about and discuss various neurological alterations. For this paper, you will need to describe and discuss the medical management, communication/teaching for patients and families, cultural considerations, and provide three relevant priority nursing interventions with rationales for the following conditions: · Increased intracranial pressure · Skull fractures · Spinal cord injury · Cerebrovascular disease · Status epilepticus. This paper is a minimum of 4 pages with no more than 10 pages, not including the title and reference page (6-12 total) and APA formatted, with a minimum of 2 scholarly sources.
Neurologic Alterations.
However, to earn exemplary in the decision making and clinical reasoning category 3 or more scholarly sources are required. Sources need to be less than 5 years old. See the guidelines below: · Use double spacing. · Include headings and subheadings (2nd and 3rd level) as appropriate. · 12-point Times New Roman font. · Include an introduction. · Spelling, grammar, and organization are appropriate, professional, and correct. · Include a conclusion. · Use in-text citations throughout. · Include a reference list. https://youtu.be/Y89gu9c4tFg
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Electromyography feature extraction. 2022 Best
This paper explores Electromyography feature extraction. Processing of EMG signals in order to collect specific Features (specifically IEMG, RMS, WL, WAMP, ENERGY) in the Matlab environment, as shown in the attached paper.
Electromyography feature extraction.
Processing of EMG signals in order to collect specific Features (specifically IEMG, RMS, WL, WAMP, ENERGY) in the Matlab environment, as shown in the attached paper. Signals must be drawn from datasets that already exist online. The code corresponding to each Feature already exists. There are two goals at work: 1. To create a dataset that will contain the processed EMG signals 2. a dataset that will contain the features. The order is as follows: Raw EMG Signal -> Preprocessing and Data Segmentation -> Feature Extraction. The ideal case would be to find data both from healthy individuals, when and from individuals with mobility problems or individuals with spinal cord injury.
Electromyography feature extraction.
There is no limitation to a muscle unit, i.e. the signals can be from both hand and leg movements. The data should concern muscle activity of people with and without a spinal cord problem. Data can be pulled from github, kaggle and other sources like researchgate. I am sending you indicative links: 1. https://www.kaggle.com/datasets/nccvector/electromyography-emg-dataset 2. https://github.com/Suguru55/Wearable_Sensor_Long-term_sEMG_Dataset The data is not required to be from a specific muscle unit, i.e. one dataset could have data from arm muscles and another from thigh muscles.
Electromyography feature extraction.
However, muscle activity data should also be found from people with motor/muscle problems and the same procedure as the rest of the data should be followed. The data should be entered into matlab, preprocessing should be done [indicatively the signal was band pass filtered using 2nd order Butterworth filter with a cut off frequency of 20-500 Hz and further rectified before segmentation] and a dataset should be created with all processed signals. https://youtu.be/ucwtJ28Yia0
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