[solved]-Time Series Data Defined Data Produced Continuous Measurements Classical Examples Time Ser Q39053044
Time series data is defined as data produced from continuousmeasurements. Classical examples of time series data in biomedicalengineering include electrocardiogram (ECG) andelectroencephalogram (EEG) recordings. But continuous monitoring ofany physiological attribute, such as heart rate, temperature, bloodpressure, viral load, etc, can be also be considered time seriesdata.
Finding peaks in time series data is an important signal processingstep, as it helps detect extreme values. In real time seriesapplications, one has to account for noisy data; which makesdefining and detecting peaks a complex task. In this problem, wewill use a simplified definition of peaks.
Write a function myfindpeaks() that takes a numerical vector asinput and returns the positions of the peak values. A peak value isdefined as a value that is strictly greater than both the previousand next entries. The first and last entries in the vector are notconsidered as peaks.
Consider for example the input vector [13 92 64 55 55 20 96 97 1698]. 92 is a peak, because it is strictly greater than both theprevious (13) and the next number (64). 97 is also a peak, becauseit is greater than both the previous (96) and next number (16).There are no other peaks in that vector. The positions of the peaks92 and 97 in the vector are 2 and 8. Your function should returnthe vector [2 8] for this input.
If there are no peaks in an input vector, your function shouldreturn an empty vector.
Functions findpeaks(), islocalmin(), or islocalmax() can not beused.
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