scholarly journals PENGEMBANGAN SISTEM DETEKSI KELELAHAN PADA PENGEMUDI MOBIL BERBASIS SINYAL ELECTROMYOGRAPHY (EMG)

2016 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Sukma Firdaus ◽  
Marlia Adriana
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Surface Emg ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Power Frequency ◽  
High Pass

Peningkatan alat trasportasi khususnya kendaraan roda empat (mobil) mengakibatkan peningkatan volume kendaraan di jalan. Hal ini berdampak pada meningkatnya kemacetan. Selain kemacetan, peningkatan volume kendaraan berdampak juga pada peningkatan kecelakan lalu lintas. Salah satu penyebab kecelakan lalu lintas adalah faktor pengendaranya, yaitu kelelahan. Penelitian ini, merancang sistem pendeteksi kelelahan pengemudi, berdasarkan sinyal biologis pengemudi yaitu sinyal biologis kondisi otot lengan. Sinyal tersebut direkam dengan menggunakan metode surface EMG. Elektroda yang ditempelkan disebelah kanan lengan dihubungkan dengan penguat instrumentasi dan digitalisasi melalui unit pemproses sinyal untuk dapat disimpan kedalam komputer. Kegiatan pengambilan data dilakukan sebanyak 8 kali dengan jarak tempuh pengemudi sebesar 80 km dari Kota Banjarmasin menuju Kota Pelaihari. Akuisisi data menggunakan frekuensi sampling sebesar 4 KHz dan diproses secara filter analog untuk High Pass Filter sebesar 2 KHz dan Low Pass Filter sebesar 500 Hz. Setelah data direkam, sinyal dilakukan proses downsampling menjadi 1 KHz. Pada proess digital, dilakukan lagi proses pemfilteran secara Low Pass Filter sebesar 500 Hz. Proses digital selanjutnya adalah melakukan analisis pada domain frekuensi menggunakan transformasi fourier dengan memakai algoritma fast fourier transform (fft). Hasil dari transformasi fourier diidentifikasi berdasarkan nilai Mean Power Frequency (MPF). Berdasarkan hasil perhitungan MPF yang telah dilakukan, diperoleh saat awal berkendara nilai rata-rata MPF nya adalah sebesar 25,2 Hz sedangkan pada akhir berkendara bernilai sebesar 33,3 Hz. Dengan hasil ini dapat tergambarkan kondisi pengemudi pada awal mengemudi dan tidak terjadi kelelahan maka nilai frekuensi yang dominan cenderung lebih rendah jika dibandingkan dengan setelah berkendara atau saat kelelahan.

Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter

2018 ◽  
Vol 296 ◽  
pp. 1-11 ◽  
Author(s):  
Ivanna K. Timotius ◽  
Fabio Canneva ◽  
Georgia Minakaki ◽  
Cristian Pasluosta ◽  
Sandra Moceri ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Dynamic Footprint

A semi-lumped microstrip UWB bandpass filter

2009 ◽  
Vol 1 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Darine Kaddour ◽  
Jean-Daniel Arnould ◽  
Philippe Ferrari
Keyword(s):  
Group Delay ◽  
Bandpass Filter ◽  
Filter Design ◽  
Sensitivity Study ◽  
Critical Parameters ◽  
Center Frequency ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
High Pass

In this paper, a miniaturized bandpass filter for ultra-wide-band applications is proposed. It is based on the embedding of high-pass structures in a low-pass filter. A semi-lumped technology combining surface-mounted capacitors and transmission lines has been used. The filter design rules have been carried out. Furthermore, two filters having a 3-dB fractional bandwidth of 142 and 150%, centered at 0.77 and 1 GHz, respectively, have been realized for a proof of concept. Measured characteristics, in good agreement with simulations, show attractive properties of return loss (|S11| <−18 dB), insertion loss (<0.3 dB), and a maximum group delay and group delay variation of 2 and 1.3 ns, respectively. A distributed filter based on the same low-pass/high-pass approach has been also realized and measured for comparison. The size reduction reaches 85% for the semi-lumped filter, and its selectivity is improved with a shape factor of 1.3:1 instead of 1.5:1. The semi-lumped filter's drawback is related to a smaller rejection bandwidth compared to the distributed one. To improve the high-frequency stopband, an original technique for spurious responses suppression based on capacitively loaded stubs has been proposed. Even if the performances do not reach that obtained for the distributed approach, with this technique spurious responses are pushed until eight times the center frequency. A sensitivity study vs. critical parameters has also been carried out, showing the robustness of the design.

Treatment of Noise in Experimental Transport Measurements Plots With Discrete Wavelet Transforms

2009 ◽  
Author(s):  
Rube´n Panta Pazos
Keyword(s):  
Wavelet Transform ◽  
Wavelet Transforms ◽  
Transport Theory ◽  
Discrete Wavelet ◽  
Transform Method ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Thresholding Algorithm ◽  
High Pass

In this work it is applied the wavelet transform method [2] in order to reduce diverse type of noises of experimental measurement plots in transport theory. First, suppose that a problem is governed by the transport equation for neutral particles, and an unknown perturbation occurs. In this case, the perturbation can be associated to the source, or even to the flux inside the domain X. How is the behavior of the perturbed flux in relation to the flux without the perturbation? For that, we employ the wavelet transform method in order to compress the angular flux considered as a 1D, or n-th dimensional signal ψ. The compression of this signal can be performed up to some a convenient order (that depends of the length of the signal). Now, the transport signal is decomposed as [9, 11]: ψ=〈am|dm|dm−1|dm−2|⋯|d2|d1〉 where ak represents the sub signal of k-th level generated by the low-pass filter associated to the discrete wavelet transform (DWT) chosen, and dk the sub signal of k-th level generated by the high-pass filter associated to the same DWT. It is applied basically the Haar, Daub4 and Coiflet wavelets transforms. Indeed, the sub signal am cumulates the energy, for this work of order 96% of the original signal ψ. A thresholding algorithm provides treatment for the noise, with significant reduction in the compressed signal. Then, it is established a comparison with a base of data in order to identify the perturbed signal. After the identification, it is recomposed the signal applying the inverse DWT. Many assumptions can be established: the rate signal-to-noise is properly high, the base of data must contain so many perturbed signals all with the same level of compression. The problem considered is for perturbations in the signal. For measurements the problem is similar, but in this case the unknown perturbations are generated by the apparatus of measurements, problems in experimental techniques, or simply by random noises. With the same above assumptions, the DWT is applied. For the identification, it is used a method evolving statistical and metric techniques. It is given some results obtained with an algebraic computer system.

Plasma models and rescaling methods

1984 ◽  
Vol 31 (1) ◽  
pp. 141-151 ◽  
Author(s):  
Philippe Lotte ◽  
M. R. Feix
Keyword(s):  
High Temperature ◽  
Electrostatic Interactions ◽  
Practical Reasons ◽  
Electrostatic Model ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Numerical Studies ◽  
Low Pass ◽  
Vlasov Limit ◽  
High Pass

The plasma models used in analytical or numerical studies exhibit, mainly for practical reasons, symmetry reducing the dimensions of the space. It is not obligatory that the restrictions on the dynamics and the chosen form of the electrostatic interactions should correspond to the same symmetry and this introduces the concept of a d (dynamic), d' (electrostatic) model with d' ≥ d. We show that the crucial parameter is d' – d. For d' – d = 0, the model exhibits both at low and at high temperature the same characteristic plasma frequency. At high temperature we recover the Vlasov limit and the plasma acts as a high-pass filter. For d' – d = 1, the two frequencies (purely collective at high temperature and ‘crystal’ frequency at very low temperature) are different, while in its high temperature (Vlasov) limit the plasma acts as a low-pass filter. Finally if d' – d ≥ 2 there is no longer a Vlasov limit for all values of temperature and density. These properties are obtained through a systematic use of the homothety transformations and a search for the corresponding invariants.

scholarly journals Portable Electrocardiograph Dengan Sadapan Pada Telapak Tangan Dan Kaki

2020 ◽  
Vol 13 (2) ◽  
pp. 107-114
Author(s):  
Muhammad Syifaul Linnas ◽  
Sumber Sumber ◽  
Prastawa Assalim Tetraputra
Keyword(s):  
Personal Computer ◽  
Notch Filter ◽  
Pass Filter ◽  
Low Pass Filter ◽  
High Pass Filter ◽  
Low Pass ◽  
High Pass

    Electrocardiograph (ECG) secara rutin dilakukan oleh operator terampil yang terbiasa dengan penempatan masing-masing elektroda pada pasien. Posisi elektroda yang salah dapat menyebabkan kesalahan kritis dalam diagnosis dan perawatan penyakit jantung. Tujuan dari penelitian ini adalah mendesain sebuah Portable Electrocardiograph dengan Sadapan Pada Telapak Tangan dan Kaki. Kontribusi dari penelitian ini adalah  memudahkan orang awam dalam bidang kesehatan dalam hal penggunaan Electrocardiograph. Penelitian ini juga bertujuan  mendesain Electrocardiograph yang cukup terjangkau bagi puskesmas/pusat-pusat pelayanan medis di daerah. Agar desain ini dapat memudahkan dalam metode penggunaan alat, maka dibuatlah alat Electrocardiograph (ECG) dengan elektroda pad yang akan diletakkan pada telapak tangan dan telapak kaki yang telah di berikan tanda pada elektroda tersebut. Electrocardiograph (ECG) menggunakan desain High Pass Filter (Pasif 20dB ditambah Non Inverting Amplifier, Low Pass Filter (LPF) 40dB, dan notch filter yang akan ditampilkan pada layar monitor Personal Computer (PC). Dari hasil sadapan beberapa responden, terlihat hasil tampilan yang menyerupai/mendekati sinyal Electrocardiograph (ECG) sebenarnya. Kekurangan dari modul ini jika tidak adanya grounding yang baik dari power suply maka akan terjadi noise pada hasil sinyal yang akan ditampilkan. Hasil penelitian ini dapat di implementasikan pada Electrocardiograph (ECG) konvensional untuk meningkatkan kemudahan dalam hal penggunaan alat.    

scholarly journals The Role of 2D Fast Fourier Transform and High Pass Filter in Regional and Residual Anomaly Separation in Gravity

2021 ◽  
Vol 873 (1) ◽  
pp. 012017
Author(s):  
I R Palupi ◽  
W Raharjo ◽  
S Kiswanti
Keyword(s):  
Fourier Transform ◽  
Power Spectrum ◽  
Fast Fourier Transform ◽  
Pass Filter ◽  
Wavenumber Domain ◽  
High Pass Filter ◽  
Separation Result ◽  
Fitting In ◽  
2D Fft ◽  
High Pass

Abstract Regional and residual Separation anomaly is one thing that must do in gravity processing data. It is important before calculating the depth of anomaly by power spectrum. There are several ways to do this, one of them is using 2D Fast Fourier Transform (FFT). 2D FFT will calculate the two-dimensional power of the gravity map (Bouger anomaly) to change the spatial domain into the wavenumber domain. 2D FFT result has no unit because it works in the wavenumber domain. Power spectrum do in wavenumber domain map. Besides that, to make the wavenumber map in the frequency domain, it should be convolved with some filter (high–pass filter) and then inverse to separate the regional and the residual map. The design of the filter matrix depends on the number of the data and the location of anomalies will be enhanced. It will influence the separation result. The best result gets from the trial and error process. 2D FFT is act like Upward Continuation or Polynomial Fitting in the gravity method with the simple process. In this paper, the process fully done in Python. Python is an effective and simple language programming because it has many modules to support the processing and covering the big data. It also gives the flexibility to the researcher to determine the specific location that will be enhanced

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