Real Time Implementation and Experiments of Multi-channel Active Noise Control System for ICU

Liu, Lichuan; Su, Qiang; Li, Wei; Kuo, Sen M.

doi:10.1109/eit51626.2021.9491916

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Later, this technique was developed for consumer electronics devices, for example, noise cancellation headphones and snore cancellation pillows. Recently, ANC systems have been implemented and developed in medical and healthcare environments [ 29 , 30 , 31 ]. Hutchinson et al [ 29 ] deployed ANC for the premature infant in a simulated incubator in an NICU.…”

Section: Literature Surveys and Related Workmentioning

confidence: 99%

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Noise in ICUs: Review and Detailed Analysis of Long-Term SPL Monitoring in ICUs in Northern Spain

Althahab

Vuksanović

Al-Mosawi

et al. 2022

Sensors

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Intensive care units (ICUs) are busy and noisy areas where patients and professional staff can be exposed to acoustic noise for long periods of time. In many cases, noise levels significantly exceed the levels recommended by the official health organisations. This situation can affect not only patient recovery but also professional staff, making ICUs unhealthy work and treatment environments. To introduce the measures and reduce the acoustic noise in the ICU, acoustic noise levels should first be measured and then appropriately analysed. However, in most studies dealing with this problem, measurements have been performed manually over short periods, leading to limited data being collected. They are usually followed by insufficient analysis, which in turn results in inadequate measures and noise reduction. This paper reviews recent works dealing with the problem of excessively high noise levels in ICUs and proposes a more thorough analysis of measured data both in the time and frequency domains. Applied frequency domain analysis identifies the cyclic behaviour of the measured sound pressure levels (SPLs) and detects the dominant frequency components in the SPL time series. Moreover, statistical analyses are produced to depict the patterns and SPLs to which patients in ICUs are typically exposed during their stay in the ICU. It has been shown that the acoustic environment is very similar every night, while it can vary significantly during the day or evening periods. However, during most of the observed time, recorded SPLs were significantly above the prescribed values, indicating an urgent need for their control and reduction. To effectively tackle this problem, more detailed information about the nature of noise during each of the analysed periods of the day is needed. This issue will be addressed in the continuation of this project.

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Section: Literature Surveys and Related Workmentioning

confidence: 99%

“…The reason behind the poor performance is due to so many impulses in ICU noise, as explained by the authors. Later, Liu et al [ 31 ] proposed an ANC system. They have developed and implemented a multichannel feedforward ANC based on a filtered x least mean square (FxLMS) algorithm using the TMS320 DSP C6713 board.…”

Section: Literature Surveys and Related Workmentioning

confidence: 99%

Noise in ICUs: Review and Detailed Analysis of Long-Term SPL Monitoring in ICUs in Northern Spain

Althahab

Vuksanović

Al-Mosawi

et al. 2022

Sensors

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show abstract

“…The FxLMS algorithm is widely used in active noise control systems due to its simple circuit structure, simple implementation, and small computation. Traditional ANC implementations usually involve Digital Signal Processing (DSP) due to their certain hardware computing units and capabilities to modify software, making ANC algorithms highly flexible without impeding computing speed, but DSP chips are costly and of high power consumption [3]. Therefore, some designs suggest using a universal Micro Control Unit (MCU) as a substitute for DSPs [4].…”

Section: Introductionmentioning

confidence: 99%

Audio Denoising Coprocessor Based on RISC-V Custom Instruction Set Extension

et al. 2022

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As a typical active noise control algorithm, Filtered-x Least Mean Square (FxLMS) is widely used in the field of audio denoising. In this study, an audio denoising coprocessor based on Retrenched Injunction System Computer-V (RISC-V), a custom instruction set extension was designed and a software and hardware co-design was adopted; based on the traditional pure hardware implementation, the accelerator optimization design was carried out, and the accelerator was connected to the RISC-V core in the form of coprocessor. Meanwhile, the corresponding custom instructions were designed, the compiling environment was established, and the library function of coprocessor acceleration instructions was established by embedded inline assembly. Finally, the active noise control (ANC) system was built and tested based on Hbird E203-Core, and the test data were collected through an audio analyzer. The results showed that the audio denoising algorithm can be realized by combining a heterogeneous System on Chip (SoC) with a hardware accelerator, and the denoising effect was approximately 8 dB. The number of instructions consumed by testing custom instructions for specific operations was reduced by approximately 60%, and the operation acceleration effect was significant.

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M-estimate based diffusion active noise control algorithm over distributed networks and its performance analysis

Zhou,

Zhao,

Liu

2024

Signal Processing

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Real Time Implementation and Experiments of Multi-channel Active Noise Control System for ICU

Cited by 5 publications

References 16 publications

Noise in ICUs: Review and Detailed Analysis of Long-Term SPL Monitoring in ICUs in Northern Spain

Noise in ICUs: Review and Detailed Analysis of Long-Term SPL Monitoring in ICUs in Northern Spain

Audio Denoising Coprocessor Based on RISC-V Custom Instruction Set Extension

M-estimate based diffusion active noise control algorithm over distributed networks and its performance analysis

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