Signal Transfer Research Articles

Study of the performance change in digital mammography systems depending on the total number of examinations

Digital mammography equipment should operate at a high-performance level for detecting breast cancer over the lifetime of the systems. This study investigates the performance of the Fujifilm Amulet Innovality full-field digital mammography system in relation to the number of exposures. The performance of twelve systems, from new and up to 17 000 examinations, was compared. The x-ray output, half-value layer (HVL), contrast-detail (C-D) detectability, contrast-to-noise ratio (CNR), mean glandular dose (MGD), signal transfer property (STP), pre-sampled modulation transfer function (MTF), normalized noise power spectra (NNPS), detective quantum efficiency (DQE) tests were performed to determine the performance change. The noise sources were also analyzed in the spatial domain. The x-ray output and HVL values at 28 kV with tungsten anode and rhodium filter were 15 μGy/mAs ± 1.0 (coefficient of variation (cov) = 7.0%) and 0.54 mmAl ± 0.008 (cov = 1.5%), respectively. The average MGDs for 60 mm equivalent breast to reach the achievable image quality level for 0.1 mm and 0.25 mm detail diameters of circular discs on the CDMAM 3.4 phantom image were 1.17 mGy ± 0.13 (cov = 11%) and 1.40 mGy ± 0.09 (cov = 6%), respectively. The average MGD for 53 mm equivalent breast was 1.08 mGy ± 0.14 (cov = 13%) at dose setting Normal in automatic exposure control (AEC) mode. All tested devices demonstrated good linearity with R2 ≥ 0.999 in the STP curves. The average MTF at 5.0 mm−1 spatial frequency was 0.66 ± 0.007 (cov = 1.0%). The average NNPS was 2.38 × 10−6 mm2 ± 2.13 × 10−7 (cov = 9.0%) at 5.0 mm−1. The average DQE value at 5.0 mm−1 was 0.33 ± 0.02 (cov = 5.0%), and the mean peak DQE was 0.66 ± 0.03 (cov = 5.0%). The mean power coefficient (b), determined from the power relationship between linearised standard deviation and detector dose while analyzing noise sources, was 0.49 ± 0.007 (cov = 1.4%). There was no gradual change in the x-ray tube and detector performance by the number of exposures, and taking up to 68 000 images did not decrease the quality of the systems.

Performance Analysis of Electromyogram Signal Compression Sampling in a Wireless Body Area Network.

The rapid growth in demand for portable and intelligent hardware has caused tremendous pressure on signal sampling, transfer, and storage resources. As an emerging signal acquisition technology, compressed sensing (CS) has promising application prospects in low-cost wireless sensor networks. To achieve reduced energy consumption and maintain a longer acquisition duration for high sample rate electromyogram (EMG) signals, this paper comprehensively analyzes the compressed sensing method using EMG. A fair comparison is carried out on the performances of 52 ordinary wavelet sparse bases and five widely applied reconstruction algorithms at different compression levels. The experimental results show that the db2 wavelet basis can sparse EMG signals so that the compressed EMG signals are reconstructed properly, thanks to its low percentage root mean square distortion (PRD) values at most compression ratios. In addition, the basis pursuit (BP) reconstruction algorithm can provide a more efficient reconstruction process and better reconstruction performance by comparison. The experiment records and comparative analysis screen out the suitable sparse bases and reconstruction algorithms for EMG signals, acting as prior experiments for further practical applications and also a benchmark for future academic research.

Switchable unidirectional waves on mono- and diatomic metamaterials

We demonstrate switchable unidirectional propagation of slow waves of coupling within a metamaterial array of strongly coupled elements. We predict theoretically and verify experimentally that the direction of propagation of magnetoinductive waves for any chosen excitation pattern is dictated by the dispersion relations, with forward and backward waves propagating in opposite directions along a chain of meta-atoms. We further prove that the same fundamental phenomenon of direction selectivity due to the forward/backward wave nature is not limited to magnetoinductive waves: we predict analytically and verify numerically the same selective unidirectional signal propagation occurring in nanostructured metamaterial arrays with purely electric coupling. Generalising our method of unidirectional waveguiding to a diatomic magnetoinductive array featuring both forward-wave and backward-wave dispersion branches, switchable unidirectional signal propagation is achieved with distinct frequency bands with opposite directions of signal propagation. Finally, by expanding our technique of selective unidirectional waveguiding to a 2D metasurface, a selective directional control of waves in two dimensions is demonstrated opening up possibilities for directional wireless signal transfer via magnetoinductive surfaces. The observed phenomenon is analogous to polarisation-controlled near-field interference for unidirectional guiding of surface plasmon-polaritons.

Simultaneous Wireless Power and Multibit Signals Transfer System With Hybrid Modulation Waves PWM Control

Simultaneous Wireless Power and Multibit Signals Transfer System With Hybrid Modulation Waves PWM Control

Simplified Simulation and Measurement of the Signal Transfer Function of a Continuous-Time Pipelined Analog-to-Digital Converter

The continuous-time pipeline (CTP) analog-to-digital converter is a power- and area-efficient realization of an anti-alias filter + ADC cascade. The signal transfer function (STF), which is the transfer function of the anti-alias filter, is an important property of the CTP ADC. It is conventionally characterized by exciting the ADC with multiple input sinusoids. We demonstrate that a single-tone excitation is enough to determine the STF of the CTP ADC over its useful frequency range. The theory is supported by measurement results from a three-stage CTP ADC designed in a 65 nm CMOS process. The converter, equivalent to a sixth-order anti-alias filter + ADC, achieves 70 dB SNDR in a 100MHz bandwidth while sampling at <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$f_{s}= 800$ </tex-math></inline-formula> MHz.

Mechanical properties of tunneling nanotube and its mechanical stability in human embryonic kidney cells.

Tunneling nanotubes (TNTs) are thin membrane tubular structures that interconnect physically separated cells. Growing evidence indicates that TNTs play unique roles in various diseases by facilitating intercellular transfer of signaling and organelles, suggesting TNTs as a potential target for disease treatment. The efficiency of TNT-dependent communication is largely determined by the number of TNTs between cells. Though TNTs are physically fragile structures, the mechanical properties of TNTs and the determinants of their mechanical stability are still unclear. Here, using atomic force microscope (AFM) and microfluidic techniques, we investigated the mechanical behavior and abundance of TNTs in human embryonic kidney (HEK293) cells upon the application of forces. AFM measurements demonstrate that TNTs are elastic structures with an apparent spring constant of 79.1 ± 16.2 pN/μm. The stiffness and membrane tension of TNTs increase by length. TNTs that elongate slower than 0.5 μm/min display higher mechanical stability, due to the growth rate of F-actin inside TNTs being limited at 0.26 μm/min. Importantly, by disturbing the cytoskeleton, membrane, or adhesion proteins of TNTs, we found that F-actin and cadherin connection dominantly determines the tensile strength and flexural strength of TNTs respectively. It may provide new clues for screening TNT-interfering drugs that alter the stability of TNTs.

Analog transmission of time-frequency signal in atmospheric turbulence environment.

The high-precision time-frequency transfer of the optical atomic clock signals over ground-to-satellite and terrestrial free-space laser paths is of great significance in the fields of fundamental and applied sciences. However, the phase noises caused by atmospheric turbulence severely degrade the measurement precision. In this paper, a new method to simulate the transmission of time-frequency signal propagating through atmospheric turbulence is investigated. An analog transmission system comparable to the practical out-field link has been demonstrated, which can provide a deep insight into the phase distortion of time-frequency signal of free-space optical communication links.

Time-domain Continuous-time Delta-sigma Modulator using VCO-based Integrator and GRO-based Quantizer

This paper presents a 3SUPrd/SUP-order time-domain continuous-time delta-sigma modulator (CTDSM) using two voltage-controlled oscillator (VCO)-based integrators and a gated ring oscillator (GRO)-based quantizer. The GRO-based quantizer has 1SUPst/SUP-order noise-shaping characteristics without the increase of the signal transfer function (STF) order and has magnificent linearity. Also, the output of the GRO-based quantizer has an intrinsic data weighted averaging (DWA)-based dynamic element matching (DEM) pattern that is less susceptible to the DAC mismatch. The PWM signal, which is the input of the GRO-based quantizer, is generated by the VCO-based integrator without additional blocks. In the pre-layout simulation, the CTDSM consumes 3.84 mW and achieves an SNDR of 71.2 dB at a 400-MSs sampling frequency and a 10-MHz bandwidth.

Auditory disturbances in patients with complex regional pain syndrome.

Complex regional pain syndrome (CRPS) is often associated with reduced sound tolerance (hyperacusis) on the affected side, but the mechanism of this symptom is unclear. As compensatory increases in central auditory activity after cochlear injury may trigger hyperacusis, hearing and discomfort thresholds to pure tones (250, 500, 1000, 2000, 3000, 4000, 6000, and 8000 Hz) were assessed in 34 patients with CRPS and 26 pain-free controls. In addition, in 31 patients and 17 controls, auditory-evoked potentials to click stimuli (0.08 ms duration, 6 Hz, 60 dB above the hearing threshold) were averaged across 2000 trials for each ear. Auditory discomfort thresholds were lower at several pitches on the CRPS-affected than contralateral side and lower at all pitches on the affected side than in controls. However, ipsilateral hyperacusis was not associated with psychophysical or physiological signs of cochlear damage. Instead, neural activity in the ipsilateral brainstem and midbrain was greater when repetitive click stimuli were presented on the affected than contralateral side and greater bilaterally than in controls. In addition, click-evoked potentials, reflecting thalamo-cortical signal transfer and early cortical processing, were greater contralaterally in patients than controls. Together, these findings suggest that hyperacusis originates in the ipsilateral brainstem and midbrain rather than the peripheral auditory apparatus of patients with CRPS. Failure of processes that jointly modulate afferent auditory signalling and pain (eg, inhibitory influences stemming from the locus coeruleus) could contribute to ipsilateral hyperacusis in CRPS.

JAK2 rs10974944 is associated with both V617F‐positive and negative myeloproliferative neoplasms in a Vietnamese population: A potential genetic marker

The JAK2 gene encodes for a non‐receptor tyrosine kinase that plays a key role in the JAK/STAT signaling transfer pathway. Genetic polymorphisms of this gene have been indicated to be associated with myeloproliferative neoplasm‐associated thrombosis in recent studies. This research aimed to evaluate the association between the variant rs10974944 and different types of Myeloproliferative neoplasms disorders in the Vietnamese population. DNA samples were obtained from 172 essential thrombocythemia patients, 14 primary myelofibrosis patients, 76 polycythemia vera patients, and 192 healthy controls. The JAK2 rs10974944 and V617F genotypes were identified by the polymerase chain reaction‐restriction fragment length polymorphism genotyping and Sanger sequencing methods. Results showed that there was a strong association between rs10974944 and Myeloproliferative neoplasms phenotype (p < .0001) and the most significant association was observed in the recessive model of the mutant allele (G). The G allele carriers had a 1.74, 2.86, and 3.03 higher risk of getting essential thrombocythemia, primary myelofibrosis, and polycythemia vera, respectively. Interestingly, this effect of rs10974944 seemed to be independent of the JAK2 V617F genotype. The distribution of rs10974944 genotypes were significantly different between V617F‐positive and negative groups (p = .008). Moreover, the GG genotype of rs10974944 was observed to be associated with the risk of getting Myeloproliferative neoplasms both in JAK2 V617F‐positive group, and for the first time in JAK2 V617F‐negative patients. A systematic meta‐analysis in different populations strengthened the evidence regarding the correlation between rs10974944 and myeloproliferative neoplasm disorders. To sum up, our results suggested that rs10974944 can be used as a predisposition screening marker for predicting Myeloproliferative neoplasms susceptibility.

Potential of cooperative SIC for uplink NOMA in multi-cell network

Uplink non-orthogonal multiple access (NOMA) has attracted considerable attention as a key technology for beyond 5G/6G telecommunication. However, when adopting the uplink NOMA in multi-cell networks where an uplink signal may reach multiple base stations (BSs), the successive interference cancellation (SIC) process must be completed at every BS, resulting in smaller throughput owing to bottlenecks. To cope with this issue, we propose a novel approach called cooperative-SIC (C-SIC), where SIC processes at different BSs are mutually combined by exploiting signal transfer through backhaul links, which can prevent some signals from experiencing bottlenecks. Through performance comparison with the conventional NOMA, we reveal the significant potential of C-SIC for the uplink NOMA in a multi-cell network.

Optimal design of both multi‐input multi‐output loop filter and multi‐input single‐output reconstruction filter of sigma delta modulator

This paper considers a sigma delta modulator (SDM) with the outputs of the quantizers directly fedback to the inputs of the loop filter without being subtracted from the input sequence. The design of the multi-input multi-output (MIMO) loop filter is formulated as an optimization problem. In particular, the sum of the inner products between the elements in the signal transfer function (STF) and the corresponding elements in the noise transfer function (NTF) of the SDM is minimized. The constraints of the optimization problem are defined based on the specifications on the maximum absolute difference between the magnitude response of the designed STF and that of the desirable STF as well as that between the magnitude response of the designed NTF and that of the desirable NTF of the SDM. Similarly, the design of the multi-input single-output (MISO) reconstruction filter is also formulated as an optimization problem. In particular, the sum of the total absolute difference between the designed magnitude response of the reconstruction filter and the desirable magnitude response of the STF of the SDM is minimized. The constraint of the problem is defined based on the specification on maximum absolute difference between the designed magnitude response of the reconstruction filter and the desirable magnitude response of the STF of the SDM. In this paper, the genetic algorithm is employed to find a near global solution of the formulated optimization problems. In order to reduce the required computational power, the matrix inversion lemma is applied. The computer numerical simulation results show that the SDM designed by our proposed method outperforms the SDMs designed by the Matlab function in terms of the signal to noise ratio (SNR) performance.

Anti-Inflammatory Effect of Protopine through MAPK and NF-κB Signaling Regulation in HepG2 Cell.

Protopine is a substance used for hemostasis with an anti-inflammatory action and is one of the substances that are actively undergoing experiments to confirm their utility as anticancer agents. This study examined the molecular changes in the cellular signaling pathways associated with inflammatory responses in phorbol 12-myristate 13 acetate (PMA)-induced human hepatocellular carcinoma cell line (Hep G2). The inhibition of PMA-induced phosphorylation of I-κB in HepG2, the effect of protopine on the MAPK signals, the inhibition of COX-2 activity, and the inhibition of MMP-9 as a medium of inflammatory response were evaluated by Western blot and qPCR. The effect of protopine on the survival rates in HepG2 cells was evaluated and found to be stable to a processing concentration of up to 40μM. Subsequent Western blot analyses showed that protopine blocks the transfer of the MAPKs cell signals induced by PMA and the transfer of the subunit of the nuclear factor-kappa B (NF-κB) to the nucleolus. Protopine inhibited the kappa alpha (I-κBα) phosphorylation in the cytosol and blocked PMA-induced inflammation via COX-2 activity inhibition. The expression of MMP-9 at the gene and protein levels, which is associated with cell migration and metastasis, was reduced by protopine.

P-591 Cellular heterogeneity in the preovulatory follicle correlates with response to stimulation with recombinant FSH and affects somatic cell gene expression levels

Abstract Study question What is the difference in the composition and gene expression of pre-ovulatory follicular somatic cells between normo- and hyporesponder patients to rFSH stimulation? Summary answer Gene expression changes in the somatic cells of the preovulatory follicles of hyporesponder patients is partly attributable to distinct cell populations. What is known already Some women undergoing IVF respond suboptimally to the preceding ovarian stimulation without an indication of poor ovarian insufficiency nor advanced age. The gene expression levels in the somatic cells of their pre-ovulatory follicles have not been determined. However, the somatic cells play key roles in the transfer of gonadotrophin signals and in steroidogenesis. In the preovulatory follicle, being &amp;gt;20 mm in size, the somatic cells are exposed to various molecular gradients that drive their differentiation. Due to advancements in sequencing technologies the importance of somatic cell sub-populations in the etiologies of ovarian infertility can now be investigated by bioinformatic methods. Study design, size, duration Consecutive IVF patients &amp;lt;41 years of age were recruited at Nova Vita Clinic, Estonia, undergoing the antagonist stimulation protocol with rFSH administration. Ovarian puncture was performed for all patients after 36 hours of hCG stimulaton. rFSH dose &amp;gt;200 IU per one retrieved oocyte was considered as an indication for hyporesponse. Ten normo- and 9 hyporesponder patients were enrolled. Participants/materials, setting, methods Cells from the follicular fluid devoid of the cumulus oocyte complex were collected by centrifugation. RNA-seq was performed on the pooled cells of all participants. The study groups were compared by differential gene expression analysis by DESeq2. Single-cell RNA-seq was performed for &amp;gt;6000 individual cells of 3 normoresponder patients and cellular sub-populations were determined with Seurat package. CIBERTSORTx software was used to deconvolute the proportion of cell types from bulk RNA-seq data of all participants. Main results and the role of chance Alterations in the gene expression of ovarian somatic cells have been previously attributed to female age. We demonstrate that 407 genes are differentially expressed (FDR&amp;lt;0.05) between normo- and hyporesponder IVF patients after age adjustment. These genes were enriched into pathways of extracellular matrix reorganization (31 genes, FDR&amp;lt;0.005), post-translational protein phosphorylation (16 genes, FDR&amp;lt;0.006) and regulation of insulin-like growth factor transport and uptake by insulin-like growth factor binding proteins (16 genes, FDR&amp;lt;0.019). In addition, the sequencing of &amp;gt; 24 000 individual cells from 3 normoresponder patients revealed the somatic cell types of the preovulatory follicle in high resolution indicating the presence of immune cell populations (N = 4), epithelial cells, theca, cumulus cells and mural granulosa cell sub-populations (N = 7). Bioinformatic cell type deconvolution demonstrated significant differences between proportions of distinct cell sub-populations between normo- and hyporesponder patients and that several differentially expressed genes between the study groups can be attributed to a specific mural granulosa sub-population. Limitations, reasons for caution The number of study participants is small due to the high cost of the study methods. Wider implications of the findings The study demonstrates that hyporesponse to stimulation is associated with age-unrelated disturbances in gene expression of preovulatory somatic cells and that different somatic cell populations may have important underlying functions in the ovarian etiologies of infertility. Trial registration number not applicable

A Traditional Chinese Remedy for Hepatocellular Carcinoma Functions by Suppressing Exosomal miR-23a-3p/Smad Signaling

A decoction of Jianpi Huayu (JHP) has been used traditionally in orthodox Chinese medicine to treat tumors such as hepatocellular carcinoma (HCC), however, the mechanism is still a mystery. Intercellular communication in the cancer cell microenvironment points toward a strong role of exosomes, but their contribution to HCC is still not well understood. Xie and colleagues investigated the anti-neoplastic effects of JHD and the possible function of exosomal signaling. Nude mice models with subcutaneous cancer were used to gauge the effects of JHD. Migration, invasion, proliferation, and epithelial-mesenchymal transition (EMT) of cultured HCC cells were mitigated by JHD. From the EMT-induced HCC cells, exosomes increased the invasion, migration, and EMT of other cultured HCC cells, whereas post-treatment of JHD, exosomes from EMT-induced HCC cells had little effect. Exosomal miR-23a-3p which is significantly upregulated in cancer cells as compared to normal cells was reduced in JHD-treated cultured HCC cells. Post hepatectomy, patients with high miR-23a-3p levels had low survival rates. Smad signaling protein expression as well HCC cell proliferation was upregulated by miR-23a-3p. More critically, miR-23a-3p overexpression countered the EMT and Smad signaling inhibition brought about by JHD treatment. In vivo examinations revealed that treatment with JHD additionally diminished the development of HCC-derived tumors in naked mice, and decreased the levels of miR-23a-3p in serum exosomes and the degree of EMT in cancer cells. The authors conclude that the anticancer properties of JHD partially if not completely are due to the downregulation of exosome-mediated intercellular miR-23a-3p transfer and subsequent blockade of Smad signaling. Disrupting this exosomal miR-23a-3p/Smad signaling pathway may be an effective treatment. J Ethnopharmacol. 2022 Aug 10;294:115360.

Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data.

The brain performs various cognitive functions by learning the spatiotemporal salient features of the environment. This learning requires unsupervised segmentation of hierarchically organized spike sequences, but the underlying neural mechanism is only poorly understood. Here, we show that a recurrent gated network of neurons with dendrites can efficiently solve difficult segmentation tasks. In this model, multiplicative recurrent connections learn a context-dependent gating of dendro-somatic information transfers to minimize error in the prediction of somatic responses by the dendrites. Consequently, these connections filter the redundant input features represented by the dendrites but unnecessary in the given context. The model was tested on both synthetic and real neural data. In particular, the model was successful for segmenting multiple cell assemblies repeating in large-scale calcium imaging data containing thousands of cortical neurons. Our results suggest that recurrent gating of dendro-somatic signal transfers is crucial for cortical learning of context-dependent segmentation tasks.

Sub-hundred-femtosecond level atmospheric transfer of microwave signal at X-band with active optical phase correction

We propose and demonstrate a scheme for atmospheric transfer of microwave signals at X-band with sub-hundred-femtosecond level precision using active optical phase correction. With the proposed scheme, we have transferred a microwave signal at 9.192 GHz over a 60-m atmospheric link. The timing fluctuations and Allan deviations are both measured and analyzed to assess the performance of our scheme. The root-mean-square timing drift of the transferred microwave signal with timing fluctuation suppression is 44 fs, and the Allan deviation is 9 × 10 − 14 at 1 s and 1 × 10 − 17 at 1000 s with optical phase correction. The transmission link achieved a lower instability than currently reported cesium fountain clocks, which means this proposed transfer scheme could be employed to transfer cesium atomic clock over the atmospheric transmission link.

Signal processing and noise analysis on realistic radiation detector model

In this paper, equations for signal processing and noise analysis were derived for a realistic radiation detector model, and simulations were performed under various conditions. Realistic radiation detector model was composed of silicon PIN diode detector, Charge Sensitive Amplifier (CSA), and CR-RC2 shaper. For the realistic CSA model, a finite bandwidth model with a single pole response amplifier was presented and related equations were derived. Through realistic CSA model, it was possible to calculate the signal distortion phenomena such as charge transfer loss and ballistic deficit of the actual circuit and the noise value of the CSA output stage. For the realistic shaper model, signal and noise transfer functions were derived for the CR-RC2 circuit with non-inverting amplifier. In particular, the equation for the internal noise of the shaper, which has been ignored in the current noise analysis, was derived. Through this, it was possible to analyze the effects of amplifier characteristics, resistance value, and signal gain for each stage on the overall noise in the radiation detector of the CSA–shaper structure. For comparison with the simulation, a circuit equivalent to the realistic radiation detector model was made and measurements under the same conditions as the simulation were made. As a result of the verification experiment, the measured values matched well with simulations under various conditions, and through this, the validity of this model was verified. Signal processing and noise analysis were mainly performed for PCB circuits using commercial components, but also included content for CMOS front-end detectors. This model consists only of analytic formulas for the time domain function and the transfer function, nonetheless it has been shown to give accurate results.

Genome-wide analysis of cowpea NAC transcription factor family elucidating the genetic & molecular relationships that interface stress and growth regulatory signals

Being a key transcriptional mediator of stress and growth responses, NAC transcription factors hold the paramount potential to develop climate-smart pulse crops. Despite their seminal role, they are yet unexplored in many important orphan legumes like cowpea. The recent availability of a comprehensive reference genome motivated us to investigate and assess the functional importance of the remarkable NAC family in cowpea for sustainable crop research. This study identified 130 NAC proteins in cowpea, namely VuNAC01-130, classified into 8 phylogenetic groups. 27 cowpea-specific members were clustered as a distinct clade with no close orthologs from other species, implicating novel functions. VuNAC proteins carried multipartite nuclear signals and unique transactivation regions with conserved patterns. 18 proteins were associated with non-NAC chimeric domains. The genes owned a unique promoter architecture encompassing pyrimidine-rich elements. The family manifested prominent segmental and tandem chromosomal duplication resulting in numerous stress-responsive members and large paralogous groups. The promoter and interactome analysis revealed multi-tier regulation through light, hormone, and transcription factors (NAC/MYB/WRKY/ERF and Dof/TCP), suggesting a cross-talk between stress and growth-regulating signals. Besides, the TFs were associated with metabolic processes such as trehalose and folate synthesis, carbohydrate transport, lipid signaling, and electron transfer. Comparatively, ATAF-like members (Group Ia) would be the most promising candidates to develop climate-smart crops with improved stress adaptation and agronomic traits by translational approach, due to their predicted functional versatility.

Biomedical Signals for Healthcare Using Hadoop Infrastructure with Artificial Intelligence and Fuzzy Logic Interpretation

In all developing countries, the application of biomedical signals has been growing, and there is a potential interest to apply it to healthcare management systems. However, with the existing infrastructure, the system will not provide high-end support for the transfer of signals by using a communication medium, as biomedical signals need to be classified at appropriate stages. Therefore, this article addresses the issues of physical infrastructure, using Hadoop-based systems where a four-layer model is created. The four-layer model is integrated with Fuzzy Interface System Algorithm (FISA) with low robustness, and data transfers in these layers are carried out with reference health data that are collected at various treatment centers. The performance of this new flanged system model aims to minimize the loss functionalities that are present in biomedical signals, and an activation function is introduced at the middle stages. The effectiveness of the proposed model is simulated by using MATLAB, using a biomedical signal processing toolbox, where the performance of FISA proves to be better in terms of signal strength, distance, and cost. As a comparative outcome, the proposed method overlooks the conventional methods for an average percentage of 78% in real-time conditions.