Digital Moving Average Filter Application for Echo Signals and Temperature

Purnamasari, Dian Neipa; Wibisono, Kunto Aji; Sukri, Hanifudin

doi:10.1051/e3sconf/202132802007

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Purnamasari, dkk [19] pada penelitiannya menyajikan penyaringan noise pada orde kedua dan orde keempat pada sensor echo ultrasonik dan temperature. Penggunaan Filter Digital Moving Average menunjukkan hasil pembacaan data menjadi lebih halus jika dibandingkan dengan data tanpa filter.…”

Section: B Dissolved Oxygen Sensorunclassified

Penerapan Digital Moving Average Filter pada Sensor Dissolved Oksigen untuk Mengukur Kualitas Air

Tisna¹,

Maharani²

2022

eemisas

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Budidaya perikanan tidak lepas dari peranan kualitas air. Kualitas air dapat ditinjau salah satunya dari faktor dissolved oxygen. Dengan memanfaatkan teknologi pintar, nilai dissolved oxygen dapat dipantau secara real time supaya memudahkan pengguna kapan pun bisa mendapatkan data kualitas air secara terkini. Pada penelitian ini, perangkat yang digunakan antara lain dissolved oxygen sensor, arduino uno, dan laptop. Untuk mengurangi noise dan fluktuasi pada pembacaan sensor, peneliti menerapkan Moving Average Filter (MOV) di pemrograman arduino agar mendapatkan kualitas pembacaan sensor dissolved oxygen yang lebih presisi. Hasil dari beberapa eksperimen yang dilakukan menunjukkan bahwa pembacaan sensor Dissolved Oksigen mampu mencapai titik stabil dengan membutuhkan sedikit waktu dan tidak ada fluktuatif menggunakan MOV window dengan ukuran 50 yang ditunjukkan pada nilai time respons sebesar 50 mS

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Section: B Dissolved Oxygen Sensorunclassified

Penerapan Digital Moving Average Filter pada Sensor Dissolved Oksigen untuk Mengukur Kualitas Air

Tisna¹,

Maharani²

2022

eemisas

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“…As the article navigates through diverse digital filtering applications, it unravels the intricacies of cardiac signal processing [18] [19]. From motion artifacts reduction in cardiac pulse signals obtained from video imaging to the development of a Heart Rate Variability analysis tool, each innovation contributes to the holistic understanding of cardiac health [20].The concluding sections delve into the design of novel three-lead electrodes for ECG and PPG data capture, envisioning a future where bulky blood pressure measurement devices are replaced by reliable and non-intrusive monitoring systems [21] [22].…”

Section: Introductionmentioning

confidence: 99%

Exploration of Digital Filter on Cardiac Monitor through Carotid Pulse and PCG (Phonocardiogram)

Ramadhan,

Yulianto,

Lutfiyah

et al. 2024

j.teknokes

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Heart defect early detection and correct diagnosis have become important healthcare priorities. Tools for monitoring cardiac problems are constantly being developed, with the PCG (Phonocardiogram) and Cardiac Monitor via Carotid Pulse essential for heart evaluation. Although condenser microphones embedded in electric stethoscopes have been used in past research as PCG sensors, more advancements are still required to reduce received noise. This study investigates how well a Chebyshev type-II digital filter works to reduce noise on the cardiac monitor using PCG and carotid pulse. The PCG sensor is the GY-MAX 9814 module, which is interfaced with an Arduino Uno microcontroller. Matlab, Visual Studio (used as a graph viewer), and Doppler Simulator (used as a phantom cardiac signal) are used. SNR (Signal to Noise Ratio) is used in the analysis to assess the effectiveness of two digital filter orders. The average SNR value for the Doppler Simulator is 0.001404 dB at order 2, however, it climbs dramatically to 18.60023 dB at level 4 according to the results of the SNR analysis. The average SNR value in human signals is 11.50718 dB before the filter, 0.001404 dB after the post-order 2 filter, and 12.0009 dB after the post-order 4 filter. According to the results, the digital filter of order 4 is more effective in reducing noise. This study highlights the possibility of an order 4 digital filter to improve the Cardiac Monitor through PCG and Carotid Pulse. Through enhanced signal quality, the creation of this gadget holds the potential for streamlining the identification of cardiac problems. Future developments in this technology could lead to more precise and trustworthy cardiac exams, which would help with early diagnosis and treatment of cardiovascular health.

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“…Second-and fourth-order moving average (MA) filters were proposed [16] to be implemented in an Arduino-based acquisition system to filter temperature and ultrasound echo signals. The higher-order filter improved the results, producing smoother signals.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Three Linear Digital Filters Applied to Improve the Quality of the Measured Acoustic Field

Rodrigues,

Santos,

Buiochi

2023

Eng

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The measurement of acoustic fields generated by ultrasonic transducers is important for determining the focal length, lateral resolution, and amplitudes of the lateral and grating lobes. The acoustic field is commonly characterized by a set of scans using a needle hydrophone. The output of the hydrophone can be connected to an analog filter to enhance the signal. However, the analog filter might not be sufficient to avoid the noises that distort the signals. Alternatively, linear digital filters can be advantageous to improving the acoustic-field characterization. In this work, three filters were investigated: moving average (MA), band-pass Hamming window (HW), and band-pass Blackman window (BW). The filters were implemented and evaluated in terms of the root-mean-square error (RMSE) of the measured sound field, which was filtered, in relation to the simulated acoustic field (gold standard). As a compromise between effective filtering and signal non-distortion, a method to model the MA kernel length was proposed. All the filters reduced the noise of the measured acoustic field. The HW and the BW filters were more effective (RMSE = 4.01%) than the MA filter (RMSE = 4.28%). In spite of the small quantitative difference, acoustic field comparisons showed qualitative improvements.

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Digital Moving Average Filter Application for Echo Signals and Temperature

Cited by 4 publications

References 16 publications

Penerapan Digital Moving Average Filter pada Sensor Dissolved Oksigen untuk Mengukur Kualitas Air

Penerapan Digital Moving Average Filter pada Sensor Dissolved Oksigen untuk Mengukur Kualitas Air

Exploration of Digital Filter on Cardiac Monitor through Carotid Pulse and PCG (Phonocardiogram)

Comparison of Three Linear Digital Filters Applied to Improve the Quality of the Measured Acoustic Field

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