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Filter and Sampling Rate Optimization for PPG-Based Detection of Autonomic Dysfunction: An ECG-guided Approach

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Shahani, B. T., Day, T. J., Cros, D., Khalil, N., Kneebone, C. S. (1990). RR interval variation and the sympathetic skin response in the assessment of autonomic function in peripheral neuropathy. Archives of Neurology, 47 (6), 659–664. https://doi.org/10.1001/archneur.1990.00530060069021 ShahaniB. T. DayT. J. CrosD. KhalilN. KneeboneC. S. 1990 RR interval variation and the sympathetic skin response in the assessment of autonomic function in peripheral neuropathy Archives of Neurology 47 6 659 664 https://doi.org/10.1001/archneur.1990.00530060069021 Search in Google Scholar

Stålberg, E. V., Nogués, M. A. (1989). Automatic analysis of heart rate variation: I. Method and reference values in healthy controls. Muscle & Nerve, 12 (12), 993–1000. https://doi.org/10.1002/mus.880121207 StålbergE. V. NoguésM. A. 1989 Automatic analysis of heart rate variation: I. Method and reference values in healthy controls Muscle & Nerve 12 12 993 1000 https://doi.org/10.1002/mus.880121207 Search in Google Scholar

Kano, Y., Yoshizawa, M., Sugita, N., Abe, M., Homma, N., Tanaka, A., Yamauchi, T., Miura, H., Shiraishi, Y., Yambe, T. (2014). Discrimination ability and reproducibility of a new index reflecting autonomic nervous function based on pulsatile amplitude of photoplethysmography. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1794–1800. https://doi.org/10.1109/EMBC.2014.6943957 KanoY. YoshizawaM. SugitaN. AbeM. HommaN. TanakaA. YamauchiT. MiuraH. ShiraishiY. YambeT. 2014 Discrimination ability and reproducibility of a new index reflecting autonomic nervous function based on pulsatile amplitude of photoplethysmography In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE 1794 1800 https://doi.org/10.1109/EMBC.2014.6943957 Search in Google Scholar

Moreno, S., Quintero-Parra, A., Ochoa-Pertuz, C., Villarreal, R., Kuzmar, I. (2018). A signal processing method for respiratory rate estimation through photoplethysmography. International Journal of Signal Processing, Image Processing and Pattern Recognition, 11 (2), 1–10. http://dx.doi.org/10.14257/ijsip.2018.11.2.01 MorenoS. Quintero-ParraA. Ochoa-PertuzC. VillarrealR. KuzmarI. 2018 A signal processing method for respiratory rate estimation through photoplethysmography International Journal of Signal Processing, Image Processing and Pattern Recognition 11 2 1 10 http://dx.doi.org/10.14257/ijsip.2018.11.2.01 Search in Google Scholar

Chang, Y.-W., Hsiu, H., Yang, S.-H., Fang, W.-H., Tsai, H.-C. (2016). Characteristics of beat-to-beat photoplethysmography waveform indexes in subjects with metabolic syndrome. Microvascular Research, 106, 80–87. https://doi.org/10.1016/j.mvr.2016.04.001 ChangY.-W. HsiuH. YangS.-H. FangW.-H. TsaiH.-C. 2016 Characteristics of beat-to-beat photoplethysmography waveform indexes in subjects with metabolic syndrome Microvascular Research 106 80 87 https://doi.org/10.1016/j.mvr.2016.04.001 Search in Google Scholar

Du, Y.-C., Stephanus, A. (2018). The feasibility study of photoplethysmography features for arteriovenous fistula stenosis detection in hemodialysis patients with statistical approach. In 2018 IEEE International Conference on Applied System Invention (ICASI). IEEE, 457–460. https://doi.org/10.1109/ICASI.2018.8394284 DuY.-C. StephanusA. 2018 The feasibility study of photoplethysmography features for arteriovenous fistula stenosis detection in hemodialysis patients with statistical approach In 2018 IEEE International Conference on Applied System Invention (ICASI) IEEE 457 460 https://doi.org/10.1109/ICASI.2018.8394284 Search in Google Scholar

Smith, R. P., Argod, J., Pépin, J.-L., Lévy, P. A. (1999). Pulse transit time: An appraisal of potential clinical applications. Thorax, 54 (5), 452–457. https://thorax.bmj.com/content/54/5/452 SmithR. P. ArgodJ. PépinJ.-L. LévyP. A. 1999 Pulse transit time: An appraisal of potential clinical applications Thorax 54 5 452 457 https://thorax.bmj.com/content/54/5/452 Search in Google Scholar

Friesen, G. M., Jannett, T. C., Jadallah, M. A., Yates, S. L., Quint, S. R., Nagle, H. T. (1990). A comparison of the noise sensitivity of nine QRS detection algorithms. IEEE Transactions on Biomedical Engineering, 37 (1), 85–98. https://doi.org/10.1109/10.43620 FriesenG. M. JannettT. C. JadallahM. A. YatesS. L. QuintS. R. NagleH. T. 1990 A comparison of the noise sensitivity of nine QRS detection algorithms IEEE Transactions on Biomedical Engineering 37 1 85 98 https://doi.org/10.1109/10.43620 Search in Google Scholar

Middleton, P. M., Chan, G. S., O’Lone, E., Steel, E., Carroll, R., Celler, B. G., Lovell, N. H. (2009). Changes in left ventricular ejection time and pulse transit time derived from finger photoplethysmogram and electrocardiogram during moderate haemorrhage. Clinical Physiology and Functional Imaging, 29 (3), 163–169. https://doi.org/10.1111/j.1475-097X.2008.00843.x MiddletonP. M. ChanG. S. O’LoneE. SteelE. CarrollR. CellerB. G. LovellN. H. 2009 Changes in left ventricular ejection time and pulse transit time derived from finger photoplethysmogram and electrocardiogram during moderate haemorrhage Clinical Physiology and Functional Imaging 29 3 163 169 https://doi.org/10.1111/j.1475-097X.2008.00843.x Search in Google Scholar

Shouran, M., Elgamli, E. (2020). Design and implementation of Butterworth filter. International Journal of Innovative Research in Science, Engineering and Technology, 9 (9), 7975–7983. ShouranM. ElgamliE. 2020 Design and implementation of Butterworth filter International Journal of Innovative Research in Science, Engineering and Technology 9 9 7975 7983 Search in Google Scholar

Bowman, F. (2012). Introduction to Bessel Functions. Courier Corporation, ISBN 9780486152998. BowmanF. 2012 Introduction to Bessel Functions Courier Corporation ISBN 9780486152998. Search in Google Scholar

Lutovac, M. D., Tošić, D. V., Evans, B. L. (2000). Filter Design for Signal Processing using MATLAB and Mathematica. Prentice Hall, ISBN 9780201361308. LutovacM. D. TošićD. V. EvansB. L. 2000 Filter Design for Signal Processing using MATLAB and Mathematica Prentice Hall ISBN 9780201361308. Search in Google Scholar

Lin, L., Liu, T., Yuan, N., Xu, Z., Chen, H. (2021). Study on the influence of venturi on the cleaning performance of elliptical filter cartridge. Powder Technology, 377, 139–148. https://doi.org/10.1016/j.powtec.2020.08.097 LinL. LiuT. YuanN. XuZ. ChenH. 2021 Study on the influence of venturi on the cleaning performance of elliptical filter cartridge Powder Technology 377 139 148 https://doi.org/10.1016/j.powtec.2020.08.097 Search in Google Scholar

Abinaya, M., Prabhakaran, S., Jaisankar, N. (2014). Photoplethysmography on smart phone using Savitzky-Golay filter. International Journal of Scientific & Engineering Research, 5 (6). AbinayaM. PrabhakaranS. JaisankarN. 2014 Photoplethysmography on smart phone using Savitzky-Golay filter International Journal of Scientific & Engineering Research 5 6 Search in Google Scholar

Gonzalez, R. C., Woods, R. E. (2007). Digital Image Processing. Pearson, ISBN 978-0131687288. GonzalezR. C. WoodsR. E. 2007 Digital Image Processing Pearson ISBN 978-0131687288. Search in Google Scholar

Lee, H.-W., Lee, J.-W., Jung, W.-G., Lee, G.-K. (2007). The periodic moving average filter for removing motion artifacts from PPG signals. International Journal of Control, Automation, and Systems, 5 (6), 701–706. LeeH.-W. LeeJ.-W. JungW.-G. LeeG.-K. 2007 The periodic moving average filter for removing motion artifacts from PPG signals International Journal of Control, Automation, and Systems 5 6 701 706 Search in Google Scholar

Sahoo, A., Manimegalai, P., Thanushkodi, K. (2011). Wavelet based pulse rate and Blood pressure estimation system from ECG and PPG signals. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET). IEEE, 285–289. https://doi.org/10.1109/ICCCET.2011.5762486 SahooA. ManimegalaiP. ThanushkodiK. 2011 Wavelet based pulse rate and Blood pressure estimation system from ECG and PPG signals In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET) IEEE 285 289 https://doi.org/10.1109/ICCCET.2011.5762486 Search in Google Scholar

Lee, H.-K., Heo, I., Yang, S., Lee, K.-J. (2014). Discrete wavelet transform-based method for automatic evaluation of sleep-disordered breathing using photoplethysmography. In 2014 5th International Conference on Intelligent Systems, Modelling and Simulation. IEEE, 206–208. https://doi.org/10.1109/ISMS.2014.41 LeeH.-K. HeoI. YangS. LeeK.-J. 2014 Discrete wavelet transform-based method for automatic evaluation of sleep-disordered breathing using photoplethysmography In 2014 5th International Conference on Intelligent Systems, Modelling and Simulation IEEE 206 208 https://doi.org/10.1109/ISMS.2014.41 Search in Google Scholar

Wu, B.-F., Huang, P.-W., Tsou, T.-Y., Lin, T.-M., Chung, M.-L. (2017). Camera-based Heart Rate measurement using continuous wavelet transform. In 2017 International Conference on System Science and Engineering (ICSSE). IEEE, 7–11. https://doi.org/10.1109/ICSSE.2017.8030826 WuB.-F. HuangP.-W. TsouT.-Y. LinT.-M. ChungM.-L. 2017 Camera-based Heart Rate measurement using continuous wavelet transform In 2017 International Conference on System Science and Engineering (ICSSE) IEEE 7 11 https://doi.org/10.1109/ICSSE.2017.8030826 Search in Google Scholar

Zhong, Y., Pan, Y., Zhang, L., Cheng, K.-T. (2016). A wearable signal acquisition system for physiological signs including throat PPG. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 603–606. https://doi.org/10.1109/EMBC.2016.7590774 ZhongY. PanY. ZhangL. ChengK.-T. 2016 A wearable signal acquisition system for physiological signs including throat PPG In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) IEEE 603 606 https://doi.org/10.1109/EMBC.2016.7590774 Search in Google Scholar

Pietilä, J., Mehrang, S., Tolonen, J., Helander, E., Jimison, H., Pavel, M., Korhonen, I. (2018). Evaluation of the accuracy and reliability for photoplethysmography based heart rate and beat-to-beat detection during daily activities. In IFMBE Proceedings, 65, 145–148. https://doi.org/10.1007/978-981-10-5122-7_37 PietiläJ. MehrangS. TolonenJ. HelanderE. JimisonH. PavelM. KorhonenI. 2018 Evaluation of the accuracy and reliability for photoplethysmography based heart rate and beat-to-beat detection during daily activities In IFMBE Proceedings 65 145 148 https://doi.org/10.1007/978-981-10-5122-7_37 Search in Google Scholar

Chatterjee, A., Prinz, A. (2018). Image analysis on fingertip video to obtain PPG. Biomedical and Pharmacology Journal, 11 (4), 1811–1827. https://dx.doi.org/10.13005/bpj/1554 ChatterjeeA. PrinzA. 2018 Image analysis on fingertip video to obtain PPG Biomedical and Pharmacology Journal 11 4 1811 1827 https://dx.doi.org/10.13005/bpj/1554 Search in Google Scholar

Hosni, A., Atef, M. (2023). Remote real-time heart rate monitoring with recursive motion artifact removal using PPG signals from a smartphone camera. Multimedia Tools and Applications, 82 (13), 20571–20588. https://doi.org/10.1007/s11042-023-14399-w HosniA. AtefM. 2023 Remote real-time heart rate monitoring with recursive motion artifact removal using PPG signals from a smartphone camera Multimedia Tools and Applications 82 13 20571 20588 https://doi.org/10.1007/s11042-023-14399-w Search in Google Scholar

Ebrahimi, Z., Gosselin, B. (2023). Ultralow-power photoplethysmography (PPG) sensors: A methodological review. IEEE Sensors Journal, 23 (15), 16467–16480. https://doi.org/10.1109/JSEN.2023.3284818 EbrahimiZ. GosselinB. 2023 Ultralow-power photoplethysmography (PPG) sensors: A methodological review IEEE Sensors Journal 23 15 16467 16480 https://doi.org/10.1109/JSEN.2023.3284818 Search in Google Scholar

Chu, Y., Tang, K., Hsu, Y.-C., Huang, T., Wang, D., Li, W., Savitz, S. I., Jiang, X., Shams, S. (2023). Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: A deep learning framework. BMC Medical Informatics and Decision Making, 23 (1), 131. https://doi.org/10.1186/s12911-023-02215-2 ChuY. TangK. HsuY.-C. HuangT. WangD. LiW. SavitzS. I. JiangX. ShamsS. 2023 Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: A deep learning framework BMC Medical Informatics and Decision Making 23 1 131 https://doi.org/10.1186/s12911-023-02215-2 Search in Google Scholar

Liu, X., Narayanswamy, G., Paruchuri, A., Zhang, X., Tang, J., Zhang, Y., Sengupta, R., Patel, S., Wang, Y., McDuff, D. (2023). rPPG-toolbox: Deep remote PPG toolbox. In Proceedings of the 37th International Conference on Neural Information Processing Systems. New York, US: Curran Associates Inc., 68485–68510. LiuX. NarayanswamyG. ParuchuriA. ZhangX. TangJ. ZhangY. SenguptaR. PatelS. WangY. McDuffD. 2023 rPPG-toolbox: Deep remote PPG toolbox In Proceedings of the 37th International Conference on Neural Information Processing Systems New York, US Curran Associates Inc. 68485 68510 Search in Google Scholar

Baltrusaitis, T., Zadeh, A., Lim, Y. C., Morency, L.-P. (2018). OpenFace 2.0: Facial behavior analysis toolkit. In 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition. IEEE. https://doi.org/10.1109/FG.2018.00019 BaltrusaitisT. ZadehA. LimY. C. MorencyL.-P. 2018 OpenFace 2.0: Facial behavior analysis toolkit In 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition IEEE https://doi.org/10.1109/FG.2018.00019 Search in Google Scholar

Huang, B., Chen, W., Lin, C.-L., Juang, C.-F., Wang, J. (2022). MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks. Biomedical Signal Processing and Control, 73, 103404. https://doi.org/10.1016/j.bspc.2021.103404 HuangB. ChenW. LinC.-L. JuangC.-F. WangJ. 2022 MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks Biomedical Signal Processing and Control 73 103404 https://doi.org/10.1016/j.bspc.2021.103404 Search in Google Scholar

Peláez-Coca, M. D., Hernando, A., Lázaro, J., Gil, E. (2022). Impact of the PPG sampling rate in the pulse rate variability indices evaluating several fiducial points in different pulse waveforms. IEEE Journal of Biomedical and Health Informatics, 26 (2), 539–549. https://doi.org/10.1109/JBHI.2021.3099208 Peláez-CocaM. D. HernandoA. LázaroJ. GilE. 2022 Impact of the PPG sampling rate in the pulse rate variability indices evaluating several fiducial points in different pulse waveforms IEEE Journal of Biomedical and Health Informatics 26 2 539 549 https://doi.org/10.1109/JBHI.2021.3099208 Search in Google Scholar

Burma, J. S., Griffiths, J. K., Lapointe, A. P., Oni, I. K., Soroush, A., Carere, J., Smirl, J. D., Dunn, J. F. (2024). Heart rate variability and pulse rate variability: Do anatomical location and sampling rate matter? Sensors, 24 (7), 2048. https://doi.org/10.3390/s24072048 BurmaJ. S. GriffithsJ. K. LapointeA. P. OniI. K. SoroushA. CarereJ. SmirlJ. D. DunnJ. F. 2024 Heart rate variability and pulse rate variability: Do anatomical location and sampling rate matter? Sensors 24 7 2048 https://doi.org/10.3390/s24072048 Search in Google Scholar

ADInstruments. Labchart 5 software adinstruments owners manual. https://www.adinstruments.com/products/labchart ADInstruments Labchart 5 software adinstruments owners manual https://www.adinstruments.com/products/labchart Search in Google Scholar

de Chazal, P., Heneghan, C., Sheridan, E., Reilly, R., Nolan, P., O'Malley, M. (2003). Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea. IEEE Transactions on Biomedical Engineering, 50 (6), 686–696. https://doi.org/10.1109/TBME.2003.812203 de ChazalP. HeneghanC. SheridanE. ReillyR. NolanP. O'MalleyM. 2003 Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea IEEE Transactions on Biomedical Engineering 50 6 686 696 https://doi.org/10.1109/TBME.2003.812203 Search in Google Scholar

Liu, S., Ni, H., Zhong, Y., Yan, W., Wang, W. (2025). Adaptive weighted median filtering for time-varying graph signals. Signal, Image and Video Processing, 19 (1), 88. https://doi.org/10.1007/s11760-024-03610-6 LiuS. NiH. ZhongY. YanW. WangW. 2025 Adaptive weighted median filtering for time-varying graph signals Signal, Image and Video Processing 19 1 88 https://doi.org/10.1007/s11760-024-03610-6 Search in Google Scholar

Pan, J., Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, 32 (3), 230–236. https://doi.org/10.1109/TBME.1985.325532 PanJ. TompkinsW. J. 1985 A real-time QRS detection algorithm IEEE Transactions on Biomedical Engineering 32 3 230 236 https://doi.org/10.1109/TBME.1985.325532 Search in Google Scholar

Saritha, C., Sukanya, V., Narasimha Murthy, N. (2008). ECG signal analysis using wavelet transforms. Bulgarian Journal of Physics, 35 (1), 68–77. SarithaC. SukanyaV. Narasimha MurthyN. 2008 ECG signal analysis using wavelet transforms Bulgarian Journal of Physics 35 1 68 77 Search in Google Scholar

Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology. (1996). Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Circulation, 93 (5), 1043–1065. https://doi.org/10.1161/01.CIR.93.5.1043 Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology 1996 Heart rate variability: Standards of measurement, physiological interpretation, and clinical use Circulation 93 5 1043 1065 https://doi.org/10.1161/01.CIR.93.5.1043 Search in Google Scholar

Florkowski, C. M. (2008). Sensitivity, specificity, receiver-operating characteristic (ROC) curves and likelihood ratios: Communicating the performance of diagnostic tests. Clinical Biochemist Reviews, 29 (Suppl 1), S83–S87. FlorkowskiC. M. 2008 Sensitivity, specificity, receiver-operating characteristic (ROC) curves and likelihood ratios: Communicating the performance of diagnostic tests Clinical Biochemist Reviews 29 Suppl 1 S83 S87 Search in Google Scholar

Chiang, M.-C., Yeh, T.-Y., Sung, J.-Y., Hsueh, H.-W., Kao, Y.-H., Hsueh, S.-J., Chang, K.-C., Feng, F.-P., Lin, Y.-H., Chao, C.-C., Hsieh, S.-T. (2021). Early changes of nerve integrity in preclinical carriers of hereditary transthyretin Ala117Ser amyloidosis with polyneuropathy. European Journal of Neurology, 28 (3), 982–991. https://doi.org/10.1111/ene.14698 ChiangM.-C. YehT.-Y. SungJ.-Y. HsuehH.-W. KaoY.-H. HsuehS.-J. ChangK.-C. FengF.-P. LinY.-H. ChaoC.-C. HsiehS.-T. 2021 Early changes of nerve integrity in preclinical carriers of hereditary transthyretin Ala117Ser amyloidosis with polyneuropathy European Journal of Neurology 28 3 982 991 https://doi.org/10.1111/ene.14698 Search in Google Scholar

ADInstruments. (2014). PowerLab teaching series: Owner’s guide. Document no. U-ML818/OG-003F. ADInstruments 2014 PowerLab teaching series: Owner’s guide Document no. U-ML818/OG-003F. Search in Google Scholar

Umar, L., Firmansyah, I., Setiadi, R. N. (2018). Design of pulse oximetry based on photoplethysmography and beat rate signal using DS-100 probe sensor for SpO2 measurement. In 2018 3rd International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM). IEEE, 25–29. https://doi.org/10.1109/ISSIMM.2018.8727725 UmarL. FirmansyahI. SetiadiR. N. 2018 Design of pulse oximetry based on photoplethysmography and beat rate signal using DS-100 probe sensor for SpO2 measurement In 2018 3rd International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM) IEEE 25 29 https://doi.org/10.1109/ISSIMM.2018.8727725 Search in Google Scholar

Sáringer, S., Kaposvári, P., Benyhe, A. (2024). Visual linguistic statistical learning is traceable through neural entrainment. Psychophysiology, 61 (8), e14575. https://doi.org/10.1111/psyp.14575 SáringerS. KaposváriP. BenyheA. 2024 Visual linguistic statistical learning is traceable through neural entrainment Psychophysiology 61 8 e14575 https://doi.org/10.1111/psyp.14575 Search in Google Scholar

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