Estimation of heart and respiratory rates using pulse oximeters

In this report, algorithm was created to estimate heart rate and respiratory rate using photoplethysmogram (PPG). PPG was acquired from fingertip of human body using pulse sensor amped. The PPG acquired from pulse sensor amped was recorded and save for further processing using MATLAB. PPG signal und...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Yap, Felicia Lii Wen
مؤلفون آخرون: Soh Cheong Boon
التنسيق: Final Year Project
اللغة:English
منشور في: 2017
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/72029
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة: Nanyang Technological University
اللغة: English
الوصف
الملخص:In this report, algorithm was created to estimate heart rate and respiratory rate using photoplethysmogram (PPG). PPG was acquired from fingertip of human body using pulse sensor amped. The PPG acquired from pulse sensor amped was recorded and save for further processing using MATLAB. PPG signal undergo pre-processing stage which include the removal of DC component to have a better waveform for future analysis. To estimate the respiratory rate, three respiratory induced variations which are frequency, amplitude and intensity are extracted from PPG. All three respiratory induced variations are analysed using Fast Fourier Transform (FFT) to get the frequency spectrum of the respiratory induced variations. Respiratory rate can be estimate from the frequency spectrum. Heart rate can be estimate by performing FFT on PPG. From the PPG frequency spectrum, the highest peak value that falls within the heart rate frequency band which is around 0.6Hz to 5Hz is recorded to calculate for heart rate.