A Configurable Portable System for Ambulatory Monitoring of Gastric Bioelectrical Activity and Delivering Electrical Stimulation

Alrofati, Wahib; Javan-Khoshkholgh, Amir; Bao, Rui; Kang, Qi; Mahfouz, Nadi Abu; Farajidavar, Aydin

doi:10.1109/embc.2018.8512979

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…In future work, we aim to enhance the algorithm's performance by reducing the action space and minimizing the selection of prohibited actions, thereby accelerating its execution speed. Additionally, we will explore the applicability of alternative machine learning algorithms in solving DLBP problems and further improve the performance of the A2C to achieve significant enhancements [37][38][39][40][41][42][43].…”

Section: Discussionmentioning

confidence: 99%

An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation

Qin,

Xie,

Wang

et al. 2024

Mathematics

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The growing emphasis on ecological preservation and natural resource conservation has significantly advanced resource recycling, facilitating the realization of a sustainable green economy. Essential to resource recycling is the pivotal stage of disassembly, wherein the efficacy of disassembly tools plays a critical role. This work investigates the impact of disassembly tools on disassembly duration and formulates a mathematical model aimed at minimizing workstation cycle time. To solve this model, we employ an optimized advantage actor-critic algorithm within reinforcement learning. Furthermore, it utilizes the CPLEX solver to validate the model’s accuracy. The experimental results obtained from CPLEX not only confirm the algorithm’s viability but also enable a comparative analysis against both the original advantage actor-critic algorithm and the actor-critic algorithm. This comparative work verifies the superiority of the proposed algorithm.

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Section: Discussionmentioning

confidence: 99%

An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation

Qin,

Xie,

Wang

et al. 2024

Mathematics

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Section: Methodsmentioning

confidence: 99%

“…Data were captured using a wireless recording device previously developed and validated by our group 19 . The filters were set at 0.016 Hz to 1.6 Hz, the sampling rate was 15 samples per second, the amplification gain was 60 dB, and the analog to digital conversion resolution was 12 bits, designed to capture SW activity 19 . A 5.5‐minute window was selected from each recording such that no interruptions existed due to electrode repositioning or irrigation, and a clear signal was present.…”

Section: Methodsmentioning

confidence: 99%

“…2 min of data were randomly extracted from this window for further analysis. Data were processed through a MATLAB pipeline by two researchers blinded for the group assignment 19 . Segments were decomposed using the continuous wavelet transform and then reconstructed using frequency components from 0.015 Hz to 0.15 Hz and 0.13 Hz to 1.5 Hz, isolating low‐ and high‐frequency SW components.…”

Section: Methodsmentioning

confidence: 99%

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Recording and analysis of slow waves of the small intestine of mice with heart failure

Javan-Khoshkholgh

Sassoon

Behbodikhah

et al. 2022

Neurogastroenterology Motil

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Background: Gastrointestinal (GI) symptoms in heart failure (HF) patients are associated with increased morbidity and mortality. We hypothesized that HF reduces bioelectrical activity underlying peristalsis. In this study, we aimed to establish a method to capture and analyze slow waves (SW) in the small intestine in mice with HF. Methods: We established a model of HF secondary to coronary artery disease in mice overexpressing tissue-nonspecific alkaline phosphatase (TNAP) in endothelial cells. The myoelectric activity was recorded from the small intestine in live animals under anesthesia. The low-and high-frequency components of SW were isolated in MATLAB and compared between the control (n = 12) and eTNAP groups (n = 8). Ckit-positive interstitial cells of Cajal (ICC) and Pgp9.5-positive myenteric neurons were detected by immunofluorescence. Myenteric ganglia were assessed by hematoxylin and eosin (H&E) staining. Results: SW activity was successfully captured in vivo, with both high-and lowfrequency components. Low-frequency component of SW was not different between endothelial TNAP (eTNAP) and control mice (mean[95%

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“…Several studies have tried to employ wireless technologies to develop an implantable device suitable for HR mapping of the SWs. The first generations of such systems with limited number of channels (three to seven channels) were developed and validated by [8,9,10]. The number of channels in these systems were sufficient to map the activity of the stomach while functioning normally; however, when the stomach activity was ectopic, seven channels were not enough to capture the direction of the SWs propagation [11].…”

Section: Introductionmentioning

confidence: 99%

An Implantable Inductive Near-Field Communication System with 64 Channels for Acquisition of Gastrointestinal Bioelectrical Activity

Javan-Khoshkholgh

Farajidavar

2019

Sensors

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High-resolution (HR) mapping of the gastrointestinal (GI) bioelectrical activity is an emerging method to define the GI dysrhythmias such as gastroparesis and functional dyspepsia. Currently, there is no solution available to conduct HR mapping in long-term studies. We have developed an implantable 64-channel closed-loop near-field communication system for real-time monitoring of gastric electrical activity. The system is composed of an implantable unit (IU), a wearable unit (WU), and a stationary unit (SU) connected to a computer. Simultaneous data telemetry and power transfer between the IU and WU is carried out through a radio-frequency identification (RFID) link operating at 13.56 MHz. Data at the IU are encoded according to a self-clocking differential pulse position algorithm, and load shift keying modulated with only 6.25% duty cycle to be back scattered to the WU over the inductive path. The retrieved data at the WU are then either transmitted to the SU for real-time monitoring through an ISM-band RF transceiver or stored locally on a micro SD memory card. The measurement results demonstrated successful data communication at the rate of 125 kb/s when the distance between the IU and WU is less than 5 cm. The signals recorded in vitro at IU and received by SU were verified by a graphical user interface.

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A Configurable Portable System for Ambulatory Monitoring of Gastric Bioelectrical Activity and Delivering Electrical Stimulation

Cited by 11 publications

References 6 publications

An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation

An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation

Recording and analysis of slow waves of the small intestine of mice with heart failure

An Implantable Inductive Near-Field Communication System with 64 Channels for Acquisition of Gastrointestinal Bioelectrical Activity

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