%% Init % clear all; close all; Fs = 4e3; Time = 40; NumSamp = Time * Fs; load Hd; x1 = 3.5*ecg(2700). '; % gen synth ECG signal y1 = sgolayfilt(kron(ones(1,ceil(NumSamp/2700)+1),x1),0,21); % repeat for NumSamp length and smooth n = 1:Time*Fs '; del = round(2700*rand(1)); % pick a random offset mhb = y1(n + del) '; %construct the ecg signal from some offset t = 1/Fs:1/Fs:Time '; subplot(3,3,1); plot(t,mhb); axis([0 2 -4 4]); grid; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Maternal Heartbeat Signal '); x2 = 0.25*ecg(1725); y2 = sgolayfilt(kron(ones(1,ceil(NumSamp/1725)+1),x2),0,17); del = round(1725*rand(1)); fhb = y2(n + del) '; subplot(3,3,2); plot(t,fhb, 'm '); axis([0 2 -0.5 0.5]); grid; xlabel( 'Time [sec] '); ylabel( …show more content…
Voltage [mV] '); title( 'Fetal Heartbeat Signal '); Wopt = [0 1.0 -0.5 -0.8 1.0 -0.1 0.2 -0.3 0.6 0.1]; %Wopt = rand(1,10); d = filter(Wopt,1,mhb) + fhb + 0.02*randn(size(mhb)); subplot(3,3,3); plot(t,d, 'r '); axis([0 2 -4 4]); %axis tight; grid; xlabel( 'Time [sec] '); …show more content…
onvergence of Adaptive Noise Canceller '); legend( 'Measured Signal ', 'Error Signal '); subplot(3,3,6); plot(t,e, 'r '); hold on; plot(t,fhb, 'b '); axis([Time-4 Time -0.5 0.5]); grid on; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Steady-State Error Signal '); legend( 'Calc Fetus ', 'Ref Fetus ECG '); filt_e = filter(Hd,e); subplot(3,3,7); plot(t,fhb, 'r '); hold on; plot(t,filt_e, 'b '); axis([Time-4 Time -0.5 0.5]); grid on; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Filtered signal '); legend( 'Ref Fetus ', 'Filtered Fetus '); thresh = 4*mean(abs(filt_e))*ones(size(filt_e)); peak_e = (filt_e >= thresh); edge_e = (diff([0; peak_e]) >0); subplot(3,3,8); plot(t,filt_e, 'c '); hold on; plot(t,thresh, 'r '); plot(t,peak_e, 'b '); xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Peak detection '); legend( 'Filtered fetus ', 'Dyna thresh ', 'Peak marker ', 'Location ', 'SouthEast '); axis([Time-4 Time -0.5 0.5]); subplot(3,3,9); plot(t,filt_e, 'r '); hold on; plot(t,edge_e, 'b '); plot(0,0, 'w '); fetus_calc = round((60/length(edge_e(16001:end))*Fs)* sum(edge_e(16001:end))); fetus_bpm = [ 'Fetus Heart Rate = ' mat2str(fetus_calc)]; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Reconstructed fetus
Semester 1 Extra Credit for Unit 1 Test: Ch. 31 Diffraction and Interference The idea that wave fronts from light are made up of tinier wave fronts was originated from the Dutch mathematician and scientist Christian Huygens. Every point acts like a new source of waves from the light. Huygens’ principle states that every point on any wave front can be regarded as a new point source of light.
I started looking at this problem by looking at the table, as I checked the math of the table I noticed some errors. I rewrote the table on a piece of notebook paper and I saw where some gaps were. The numbers in red are the ones that I calculated to be different than the ones provided. Next I re-drew each plot, both conventional and the seating plot to better understand where the graphs varied. I noticed that around 60 mm Hg in most graphs had inconsistences so I decided to take my time and understand those points, next I looked at the plots on the exam and looked at how each plot differed from mine.
All living beings either have a heart beat or some explaining to do. As the blood transfers the necessary nutrients throughout the body for survival, a pumping heart providing a heart beat is important1(p360). The electrocardiogram (ECG) is a way to record and monitor the electrical activity of the heart while being non-invasive1(p373). The purpose of this study is to record and examine the ECG tracings acquired when an individual partakes in low, medium, and high intensity anaerobic training.
-b ÷ 2a and k = f(h) then one can plot the
Then location estimation is done. , a preprocessing step used to isolate the fetal heart in any given fetal echocardiographic image. The method separates the fetal heart from other structures that may be present in an image. Then segmentation is done to identify the individual chambers
Results 2.0 The shape of the Ventricular function Curve. A Ventricular function Curve was created by plotting Left Ventricular End-diastolic pressure against stroke work. The curve In Figure 1, displays that increase as increase LVEDP increase SW also increased as expected by starling Law of the heart. The ventricular function curve appears to only display the part of the ascendingly limb when compared to traditional curves as there is no sign of plateauing of high Pressure the sharp line of the ascendingly limb seen during low pressure. Most importantly, relative to baseline, with similar Left ventricular end diastolic pressure, the stroke Work was reduced.
Respiration consists of transportation of oxygen from the atmosphere to the body tissues and the release and carriage of carbon dioxide formed in the tissues to the atmosphere. The human respiratory system is a series of organs responsible for taking in oxygen and expelling carbon dioxide. We can list the primary organs of the respiratory system as nose, pharynx, larynx, trachea, bronchi, and lungs which carry out this exchange of gases as we breathe.
Inside a healthy heart, electrical signals travel in an orderly timed sequence to result in atrial contraction followed by a time delay and ventricular contraction. A surface or intracardiac electrocardiogram device can record these signals, and analysing the signals can identify healthy cardiac rhythms from irregular rhythms (cardiac diseases) caused by asynchrony of cardiac muscles. An artificial pacemaker compromised of an electrical pulse generator, battery and lead can restore synchrony between cardiac muscles through delivering a rhythmic electrical stimulus to the heart muscle.
In table 1. the pH of 7 has the highest rate of O2 production being 4.41mL/min while the pH with the smallest rate of O2 production being 0.21mL/min is 4. In either direction from the pH7 the average rate is decreasing similar of that to table 2s trend. In table 2. there is a pattern from the temperature of 0.C to 100.C the average change is 2.69mL/min at 0.C then at 23.C it is at its peak being 5.5mL/min but it then decreases again at 4.4mL/min at 37.C. the trend is that in either direction of 23.C the average rate of O2 produced is decreasing.
ST segment shows the time between ventricular depolarization and the starting of repolarisation. And the T wave shows the ventricular repolarisation. For detecting the heart rate QRS complex detection is necessary. Among all the waves in the signal the QRS complex has higher
(3) CTG machine provides graphical printed data. On the graph, there are two lines. The top line shows the fetal heart rate over time: the x-axis of the graph represents the elapsed playing time, while the y axis represents the instantaneous fetal heart rate. The bottom line shows uterine
Gibson General’s emergency department (ED) consists of 12 patient rooms. Each room has the capability of monitoring a patient’s vital signs, by assessing their heart rhythm, heart rate, blood pressure, temperature, number of times they breathe a minute, and the amount of oxygen attached to their red blood cells. These vital signs are collected on an automated machine, set at a frequency deemed by the Registered Nurse, and then manually entered into the patient’s electronic health record (EHR). A central monitor is located in the nurses’ station to display the latest set of vital signs in all of the rooms. These monitors are dated and are in poor working
2D ultrasound images are made up of a series of thin image 'slices', with only one slice being visible at any one time to create a 'flat' looking picture. Images are presented in 2-D as well as in 3-D domain. In the 2-D domain each element is called pixel, while in 3-D domain it is called voxel. In some cases we represent 3-D images as a sequential series of 2-D slices, this is an advantage associated with 2-D domain representation. Series of fetus images are collected and processed together by 3D ultrasound probe to obtain the 3D images.
Subject’s name: Abdullah Time (minutes) Systolic pressure (mmHg) Diastolic pressure (mmHg) Heart rate Baseline 132 70 99 0 142 73 129 2 135 75 122 4 140 80 126 6 143 96 123 8 112 81
The time base and sensitivity of the recording device for registering the ECG were kept at 30 mm/s and 7.5