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UEC Int’l Mini-Conference No.54                                                                3

               5.  Result                                      However,  the  accuracy  of  the  algorithm  needs  to  be
               The two signals obtained after processing by the ICA algorithm   improved to be able to measure respiratory signals on real
               are compared with the original signal.          human in the near future.

                                                               References
                                                               [1] Lee, Y.S., Pathirana, P.N., Evans, R.J. et al. Separation of
                                                               Doppler  radar-based  respiratory  signatures.  Med  Biol  Eng
                                                               Comput       54,       1169–1179      (2016).
                                                               https://doi.org/10.1007/s11517-015-1379-3
                                                               [2] Yi, Y., Billor, N., Ekstrom, A. et al. CW_ICA: an efficient
                                                               dimensionality  determination  method  for  independent
                                                               component   analysis.   Sci   Rep   14,   143   (2024).
                                                               https://doi.org/10.1038/s41598-023-49355-z.
                                                               [3] Song C, Yavari E, Gao X, Lubecke VM, Boric-Lubecke O.
                                                               Respiration Signal Pattern Analysis for Doppler Radar Sensor
                                     (a)                       with Passive Node and Its Application in Occupancy Sensing
                                                               of  a  Stationary  Subject.  Biosensors  (Basel).  2025  Apr
                                                               27;15(5):273. doi: 10.3390/bios15050273. PMID: 40422012;
                                                               PMCID: PMC12109633.
                                                               [4] S. M. M. Islam and V. M. Lubecke, "Extracting Individual
                                     (b)                       Respiratory  Signatures  from  Combined  Multi-Subject
                                                               Mixtures  with  Varied  Breathing  Pattern  Using  Independent
                                                               Component Analysis with the JADE Algorithm," 2020 IEEE
                                                               Asia-Pacific  Microwave  Conference  (APMC),  Hong  Kong,
                                                               Hong Kong, 2020, pp. 734-736,
                                    (c)                        doi: 10.1109/APMC47863.2020.9331715.
                                                               [5] S. M. M. Islam, E. Yavari, A. Rahman, V. M. Lubecke and
                  Figure 4 . Result: (a) Signals of each object after using ICA,   O. Boric-Lubecke, "Separation of Respiratory Signatures for
                   (b) First original signal, (c) Second original signal   Multiple  Subjects  Using  Independent  Component  Analysis
                                                               with the  JADE Algorithm," 2018  40th Annual International
               The results show that the signal after processing is similar to the   Conference of the IEEE Engineering in Medicine and Biology
               original  signal  in  terms  of  frequency  but  has  differences  in   Society (EMBC), Honolulu, HI, USA, 2018, pp. 1234-1237,
               amplitude and waveform, signal phase, and the order of the   doi: 10.1109/EMBC.2018.8512583
               signals changes differently after each processing.   [6] S. M. M. Islam, O. Boric-Lubecke and V. M. Lubekce,
               6.  Conclusion                                  "Concurrent Respiration Monitoring of Multiple Subjects by
                                                               Phase-Comparison  Monopulse  Radar  Using  Independent
               This result shows that the method of using ICA to separate
                                                               Component  Analysis  (ICA)  With  JADE  Algorithm  and
               respiratory  signals  from  multiple  subjects  is  a  very   Direction  of Arrival  (DOA),"  in  IEEE Access,  vol.  8,  pp.
               promising research direction.                   73558-73569, 2020, doi: 10.1109/ACCESS.2020.2988038.




















                             Figure 5. Future work



               *The author is supported by (GECHA) MEXT Scholarship
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