EMBEC &amp; NBC 2017

Eskola, Hannu; Väisänen, Outi; Viik, Jari; Hyttinen, Jari

doi:10.1007/978-981-10-5122-7

Cited by 23 publications

(5 citation statements)

References 0 publications

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“…Currently, the imaging photoplethysmography (iPPG) is expanding its applications beyond the assessment of heart rate and arterial stiffness, illustrated by previous studies such as studies of Kamshilin et al suggesting the high clinical potential of remote photoplethysmography in the evaluation of cutaneous vasomotor responses [27][28][29][30][31][32]. However, further refinement of this approach requires alteration of small sensory nerve fiber function in a controllable manner, which is difficult to achieve in neuropathic patients due to differences in etiology, degree of dysfunction, comorbidities, and other factors [33]. Therefore, the development of novel protocols mimicking peripheral nervous system dysfunction in healthy subjects for the assessment of optical techniques is of great importance.…”

Section: Introductionmentioning

confidence: 99%

Remote Photoplethysmography for Evaluation of Cutaneous Sensory Nerve Fiber Function

Marcinkevičs

Aglinska

Rubīns

et al. 2021

Sensors

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About 2% of the world’s population suffers from small nerve fiber dysfunction, neuropathy, which can result in severe pain. This condition is caused by damage to the small nerve fibers and its assessment is challenging, due to the lack of simple and objective diagnostic techniques. The present study aimed to develop a contactless photoplethysmography system using simple instrumentation, for objective and non-invasive assessment of small cutaneous sensory nerve fiber function. The approach is based on the use of contactless photoplethysmography for the characterization of skin flowmotions and topical heating evoked vasomotor responses. The feasibility of the technique was evaluated on volunteers (n = 14) using skin topical anesthesia, which is able to produce temporary alterations of cutaneous nerve fibers function. In the treated skin region in comparison to intact skin: neurogenic and endothelial component of flowmotions decreased by ~61% and 41%, the local heating evoked flare area decreased by ~44%, vasomotor response trend peak and nadir were substantially reduced. The results indicate for the potential of the remote photoplethysmography in the assessment of the cutaneous nerve fiber function. It is believed that in the future this technique could be used in the clinics as an affordable alternative to laser Doppler imaging technique.

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Section: Introductionmentioning

confidence: 99%

Remote Photoplethysmography for Evaluation of Cutaneous Sensory Nerve Fiber Function

Marcinkevičs

Aglinska

Rubīns

et al. 2021

Sensors

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“…Synthesis data is generated from minority classes that are difficult to learn and minority data that are easy to learn. Research conducted by Fico [13] ADASYN was capable generating samples adaptively in synthetic data against minority classes. ADASYN is formed by the distribution of data to reduce inequality in the majority class label data.…”

Section: Adasynmentioning

confidence: 99%

The Utilization of Decision Tree Algorithm In Order to Predict Heart Disease

Mia

Masruriyah

Pratama

2022

JSG

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The data on heart disease patients obtained from the Ministry of Health of the Republic of Indonesia in 2020 explains that heart disease has increased every year and ranks as the highest cause of death in Indonesia, especially at productive ages. If people with heart disease are not treated properly, then in their effective period a patient can experience death more quickly. Thus, a predictive model that is able to help medical personnel solve health problems is built. This study employed the Random Forest and Decision Tree algorithm classification process by processing cardiac patient data to create a predictive model and based on the data obtained, showing that the data on heart disease was not balanced. Thus, to overcome the imbalance, an oversampling technique was carried out using ADASYN and SMOTE. This study proved that the performance of the ADASYN and SMOTE oversampling techniques on the C45 algorithm and the Random Forest Classifier had a significant effect on the prediction results. The usage of oversampling techniques to analyze data aims to handle unbalanced datasets, and the confusion matrix is used for testing Precision, Recall, and F1-SCORE, as well as Accuracy. Based on the results of research that has been carried out with the K-Fold 10 testing technique and oversampling technique, SMOTE + RF is one of the best oversampling techniques which has a greater Accuracy of 93.58% compared to Random Forest without SMOTE of 90.51% and SMOTE + ADASYN of 93.55%. The application of the SMOTE technique was proven to be able to overcome the problem of data imbalance and get better classification results than the application of the ADASYN technique.

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“…The integrated input coil is connected to a wire-wound 2 nd -order axial gradiometer with 45 mm diameter and 120 mm overall baseline. The diameter was designed to obtain close to optimum SNR for source depths corresponding to the cortex [31]. The SQUID probe is operated inside a custom-built ultra-low-noise fiberglass dewar [32].…”

Section: Hardware Setupmentioning

confidence: 99%

Demonstration of full tensor current density imaging using ultra-low field MRI

Hömmen

Storm

Höfner

2019

Magnetic Resonance Imaging

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Direct imaging of impressed dc currents inside the head can provide valuable conductivity information, possibly improving electro-magnetic neuroimaging. Ultra-low field magnetic resonance imaging (ULF MRI) at μT Larmor fields can be utilized for current density imaging (CDI). Here, a measurable impact of the magnetic field B J , generated by the impressed current density J, on the MR signal is probed using specialized sequences. In contrast to high-field MRI, the full tensor of B J can be derived without rotation of the subject in the scanner, due to a larger flexibility in the sequence design.We present an ULF MRI setup based on a superconducting quantum interference device (SQUID), which is operating at a noise level of 380 aT Hz −1/2 and capable of switching all imaging fields within a pulse sequence. Thereby, the system enables zero-field encoding, where the full tensor of B J is probed in the absence of other magnetic fields. 3D CDI is demonstrated on phantoms with different geometries carrying currents of approximately 2 mA corresponding to current densities between 0.45 and 8 A/m 2 . By comparison to an in vivo acquired head image, we provide insights to necessary improvements in signal-to-noise ratio.

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EMBEC & NBC 2017

Cited by 23 publications

References 0 publications

Remote Photoplethysmography for Evaluation of Cutaneous Sensory Nerve Fiber Function

Remote Photoplethysmography for Evaluation of Cutaneous Sensory Nerve Fiber Function

The Utilization of Decision Tree Algorithm In Order to Predict Heart Disease

Demonstration of full tensor current density imaging using ultra-low field MRI

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