Prima Asmara Sejati

Special-appointed Assistant Professor

Chiba University

Japan

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About

Prima Asmara Sejati is a Special-appointed Assistant Professor at Chiba University in Japan. Her research focuses on electrical impedance spectroscopy and tomography, with recent articles addressing topics such as cancer detection, muscle imaging, and two-phase flow visualization. She also explores the integration of advanced computational methods, including convolutional neural networks, for improved sensing applications.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2023

Year:

2023

Collaborators (1)

Shinsuke Akita

Chiba University

JAPAN

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Prima Asmara Sejati

Research Interests

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Articles (10)

A Versatile Centrifuge-Coupled Lab-on-a-Compact Disk Hardware for Quantification of Cell Volume Fractions by Electrical Impedance Spectroscopy

Detection of invasive ductal carcinoma by electrical impedance spectroscopy implementing gaussian relaxation-time distribution (EIS-GRTD)

Detection of invasive ductal carcinoma in quadrant breast areas by electrical impedance tomography implemented with gaussian relaxation-time distribution (EIT-GRTD)

Evaluation of injection current frequency on molten NaCl solidification images reconstructed by high-temperature electrical resistance tomography

Long-term phase angle muscle imaging under electrical muscle stimulation (EMS) by phase angle electrical impedance tomography

Spatio-temporal void fraction visualization in air-water two-phase flow regime transitions by combination of convolutional neural network and long short-term memory implemented into multiple current-voltage (MCV-CNN_LSTM)

FPGA-Based Planar Sensor Electrical Impedance Tomography (FPGA-psEIT) System Characterized by Double Feedback Howland Constant- Current Pump and Programmable Front-End Measurement

Local Muscle Quality Imaging in Human Calf by Phase Angle Electrical Impedance Tomography (ΦEIT)

Metal Particle Detection by Integration of a Generative Adversarial Network and Electrical Impedance Tomography (GAN-EIT) for a Wet-Type Gravity Vibration Separator

Multinode Electrical Impedance Tomography (mnEIT) Throughout Whole-Body Electrical Muscle Stimulation (wbEMS)

Collaborators (1)

Shinsuke Akita

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