A digital envelope detection filter for blood pressure measurement

Lee, J.Y.; Kim, J.K.; Yoon, Gilwon

doi:10.1109/iembs.2001.1018896

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Hal ini berbeda dengan algoritma lain yang mengumpulkan beberapa nilai maksimum lokal terlebih dahulu kemudian dibagi dengan 9 untuk mendapatkan nilai interpolasi yang baru [6]. Hasil pembagian atau nilai rata-rata tersebut adalah bilangan pecahan yang bertipe Algoritma dimulai dengan menemukan nilai maksimum global (MAP) dan indeksnya dalam sinyal yang difilter.…”

Section: Metodeunclassified

Algoritma Interpolasi Nearest-Neighbor untuk Pendeteksian Sampul Pulsa Oscilometri Menggunakan Mikrokontroler Berbiaya Rendah

Firdaus

2017

JRE

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Abstrak-Pengukur tekanan darah non-invasif sudah banyak tersedia di pasaran. Sebagian besar perangkat tersebut menggunakan prinsip oscilometri yang menyimpan dan menganalisa bentuk gelombang oscilometri selama manset mengempis untuk mendapatkan tekanan arteri rata-rata, tekanan darah sistolik, dan tekanan darah diastolik. Nilai tekanan tersebut ditentukan dari sampul bentuk gelombang oscilometri. Beberapa metode untuk mendeteksi sampul pulsa oscilometri tersebut memakai algoritma yang kompleks dan membutuhkan memori berkapasitas besar sehingga sulit diproses oleh sistem embedded yang memiliki memori berkapasitas kecil. Metoda sederhana seperti interpolasi nearest-neighbor diterapkan untuk mendeteksi sampul pulsa oscilometri pada pengukuran tekanan darah non-invasif dengan menggunakan mikrokontroler ATmega328. Percobaan menghasilkan waktu rata-rata 59 detik untuk memproses perhitungan dan 3,6% rata-rata persentase kesalahan dalam pengukuran tekanan darah.Kata kunci: tekanan darah, sampul pulsa oscilometri, nearest-neighbor, mikrokontroler abstract-Non-invasive blood pressure measurement devices are widely available in the marketplace. Most of these devices use the oscillometric principle that store and analyze oscillometric waveforms during cuff deflation to obtain mean arterial pressure, systolic blood pressure and diastolic blood pressure. Those pressure values are determined from the oscillometric waveform envelope. Several methods to detect the envelope of oscillometric pulses utilize a complex algorithm that requires a large capacity memory and certainly difficult to process by a low memory capacity embedded system. A simple nearest-neighbor interpolation method is applied for oscillometric pulse envelope detection in non-invasive blood pressure measurement using microcontroller such ATmega328. The experiment yields 59 seconds average time to process the computation with 3.6% average percent error in blood pressure measurement.

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Section: Metodeunclassified

Algoritma Interpolasi Nearest-Neighbor untuk Pendeteksian Sampul Pulsa Oscilometri Menggunakan Mikrokontroler Berbiaya Rendah

Firdaus

2017

JRE

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“…In the digital domain, techniques that extract the analytical signal magnitude through the computation of the Hilbert Transform are rather slow 15 . In 1999, Fritsch et al proposed a nonlinear digital envelope detection filter (EDF) to speed up the process 15 , which was used by Lee et al for blood pressure measurement resulting in error reduction by 30-40% 16 .…”

Section: Envelope Detection Of Am Signalsmentioning

confidence: 99%

Virtual Toolkit For Communication Systems As A Tool For Innovation

Tanyel¹

2006 Annual Conference &Amp; Exposition Proceedings

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where he worked for the Enhanced Educational Experience for Engineering Students (E4) project, setting up and teaching laboratory and hands-on computer experiments for engineering freshmen and sophomores. For one semester, he was also a visiting professor at the United Arab Emirates University in Al-Ain, UAE where he helped set up an innovative introductory engineering curriculum. Dr. Tanyel received his B. S. degree in electrical engineering from Bogaziçi

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