Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors

Zaunseder, Sebastian; Vehkaoja, Antti; Fleischhauer, Vincent; Antink, Christoph Hoog

doi:10.1016/j.bspc.2022.103538

Cited by 19 publications

(7 citation statements)

References 42 publications

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“…The difference in the absorbance between different samples caused by granularity can be regarded as interference information, which is eliminated as much as possible by pretreatment during spectral analysis. Only a very small part of the spectra is related to differences in the composition (the organic molecules that constitute pork meat, such as protein, fat, and so on), so it can be regarded as the corresponding spectral absorption information, which has no influence on the whole data processing process, thus improving the spectral signal-to-noise ratio (SNR) [ 34 ]. Figure 1 demonstrates the NIR spectra of the pork meat samples preprocessed by MSC.…”

Section: Resultsmentioning

confidence: 99%

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Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms

Jun

et al. 2022

Foods

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The identification of pork meat quality is a significant issue in food safety. In this paper, a novel strategy was proposed for identifying pork meat samples at different storage times via Fourier transform near-infrared (FT-NIR) spectroscopy and fuzzy clustering algorithms. Firstly, the FT-NIR spectra of pork meat samples were collected by an Antaris II spectrometer. Secondly, after spectra preprocessing with multiplicative scatter correction (MSC), the orthogonal linear discriminant analysis (OLDA) method was applied to reduce the dimensionality of the FT-NIR spectra to obtain the discriminant information. Finally, fuzzy C-means (FCM) clustering, K-harmonic means (KHM) clustering, and Gustafson–Kessel (GK) clustering were performed to establish the recognition model and classify the feature information. The highest clustering accuracies of FCM and KHM were both 93.18%, and GK achieved a clustering accuracy of 65.90%. KHM performed the best in the FT-NIR data of pork meat considering the clustering accuracy and computation. The overall experiment results demonstrated that the combination of FT-NIR spectroscopy and fuzzy clustering algorithms is an effective method for distinguishing pork meat storage times and has great application potential in quality evaluation of other kinds of meat.

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Section: Resultsmentioning

confidence: 99%

“…process, thus improving the spectral signal-to-noise ratio (SNR) [34]. Figure 1 demonstrates the NIR spectra of the pork meat samples preprocessed by MSC.…”

Section: Nir Spectral Analysismentioning

confidence: 99%

Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms

Jun

et al. 2022

Foods

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“…Specifically, white noise with 55, 60, 65, and 70 dB sound pressure level (SPL) and with durations equal to the average value of conspecific advertisement calls were generated using a custom-made software in Matlab. Each exemplar of white noise and a randomly selected conspecific advertisement call (80 dB SPL) were superimposed to synthesize acoustic stimuli with different SNRs of 23, 18, 13, and 8 dB ( Figure 1 ), according to the formula for calculating SNR ( Zaunseder et al 2022 ; see Supplementary Material ). The selected conspecific advertisement call contained 16 notes, and each note’s temporal and frequency parameters were close to the mean of the population.…”

Section: Methodsmentioning

confidence: 99%

Consistency in responses to conspecific advertisement calls with various signal-to-noise ratios in both sexes of the Anhui tree frog

Wang

Chen

et al. 2022

Current Zoology

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Environmental noise has a significant negative impact on acoustic communication in most situations, as it influences the production, transmission, and reception of acoustic signals. However, how animals respond to conspecific sounds when there is interference from environmental noise, and whether males and females display convergent behavioral responses in the face of noise masking remain poorly understood. In this study, we investigated the effects of conspecific male advertisement calls with different signal-to-noise ratio (SNR) on male-male competition and female choice in the Anhui tree frog Rhacophorus zhoukaiyae using playback and phonotaxis experiments, respectively. The results showed that (1) female Anhui tree frogs preferentially selected the conspecific calls with higher SNR compared to calls with lower SNR; (2) males preferentially responded vocally to the conspecific calls with higher SNR compared to calls with lower SNR; and (3) males’ competitive strategies were flexible in the face of noise interference. These results suggest that preferences of both sexes converge in outcome, and that male competitive strategies may depend on predictable female preferences. This study will provide an important basis for further research on decision-making in animals.

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“…Oleh karena itu, penerapan metode ini pada kamera dengan laju pengambilan sampel yang lebih rendah pasti akan menghasilkan hasil yang bervariasi. Varians ini dapat menimbulkan tantangan ketika menyelidiki variabilitas denyut nadi (PRV) dan perambatan gelombang nadi ke seluruh tubuh [19].…”

Section: Pendahuluanunclassified

Tingkatkan Kamera Smartphone Tipe Entry Level Dan Mid Range Untuk Menghitung Denyut Jantung Dan Saturasi Oksigen Berbasis Photoplethysmogram Kontak

Pramulen,

Cyberputri,

Hasim

et al. 2024

Transmisi J.Ilm. Tek. Elekt.

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Pemanfaatan smartphone kelas konsumen sebagai perangkat sensor medis mempunyai potensi yang sangat besar, terutama bila dilengkapi dengan sensor yang mampu melacak berbagai biosinyal, termasuk suara dan denyut nadi. Namun, karena beberapa kendala teknis yang terkait dengan kamera ponsel pintar, memastikan kepatuhan terhadap standar perangkat medis untuk pengukuran oksimetri nadi yang akurat menjadi sebuah tantangan. Makalah ini memperkenalkan aplikasi ponsel pintar baru yang dirancang untuk memperkirakan tanda-tanda vital seperti detak jantung dan tingkat SpO2. Aplikasi ini menggabungkan metode untuk meningkatkan laju pengambilan sampel kamera, sehingga meningkatkan akurasi pengukuran. Penelitian ini melibatkan pemrosesan video dari 30 subjek ujung jari lalu mengekstrak dua jenis sinyal PPG dan membandingkannya berdasarkan morfologi yang berpusat pada rata-rata ansambel dan penilaian morfologi ketukan per ketukan. Hasilnya menunjukkan bahwa waktu pemaparan yang singkat menghasilkan sinyal CPPG (photoplethysmogram kontak) SNR tinggi hingga 20 dB bila dibandingkan dengan sinyal referensi PPG (photoplethysmogram). Hasil aplikasi ini memiliki kesalahan rata-rata sebesar 1,97 saat mengukur detak jantung dan 0,87 saat mengukur saturasi oksigen. Rata-rata error menggunakan smartphone OPPO A83 adalah 2,18 per detak jantung dan 0,84 per saturasi oksigen. Smartphone Samsung A12 memiliki rata-rata skor error 1,12 untuk detak jantung dan 0,41 untuk saturasi oksigen. Temuan ini memberikan dukungan terhadap kemanjuran aplikasi ponsel cerdas yang diusulkan dalam estimasi tanda vital.

show abstract

Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors

Cited by 19 publications

References 42 publications

Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms

Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms

Consistency in responses to conspecific advertisement calls with various signal-to-noise ratios in both sexes of the Anhui tree frog

Tingkatkan Kamera Smartphone Tipe Entry Level Dan Mid Range Untuk Menghitung Denyut Jantung Dan Saturasi Oksigen Berbasis Photoplethysmogram Kontak

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