Monitoring time-varying noise levels and perceived noisiness in hospital lobbies

Chen, Chiung Yao

doi:10.1177/1351010x20919868

Cited by 7 publications

(4 citation statements)

References 33 publications

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“…The road traffic noise is also a noise source for hospital noise. 51,52 The hospital equipment/machinery can be further classified as surgical instrument, alarms, some dental sources (e.g., hand pieces, suction tubes, turbines, ultrasonic scalers and cutting machines) etc. Loupa 53 measured and investigated noise level at two locations (blood donation unit and laundry room).…”

Section: Hospital Noise Sourcesmentioning

confidence: 99%

Noise effects, analysis and control in hospitals - A review

Raghuwanshi,

Yadav,

Jayaswal

et al. 2024

Noise & Vibration Worldwide

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Noise pollution is a growing problem in hospitals. Noise is a common complaint among hospital staff, patients, and their families in hospitals. Research shows the negative impact of noise on patients. The common effects of noise on patients and staffs in hospitals are annoyance, irritation, high blood pressure, stress, poor mental health, and fatigue. But peoples are unaware about these effects. There are different noise sources in the hospitals e.g., medical equipment, talking of patient’s family members, staff conversation, opening-closing doors etc. There is need to control the noise level in the hospitals from the above noise sources. In this review paper, the noise effects on patients, noise sources in hospitals and noise controlling strategies are summarised and discussed. The aim of this review work is to increase the awareness about the noise effects on human health and show the actual condition of the hospital noise. Further, to increase the researcher’s curiosity to do in-depth research on noise pollution and control in hospitals.

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Section: Hospital Noise Sourcesmentioning

confidence: 99%

Noise effects, analysis and control in hospitals - A review

Raghuwanshi,

Yadav,

Jayaswal

et al. 2024

Noise & Vibration Worldwide

View full text Add to dashboard Cite

show abstract

“…Moreover, in [11], authors offered a thoughtful study of different researches using psycho-acoustic metrics. More recently, alternative variations of the equivalent sound pressure level [12][13][14] have been proposed to describe the soundscape in different environments.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model With Edge Computing for 5G IoT Systems

Segura-García¹,

Pérez-Solano²,

Felici-Castell³

et al. 2023

Preprint

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Next Generation IoT systems will allow sustainable performance in long-term monitoring systems. This sustainability concept is applicable to soundscape description, as it allows monitoring in urban environments. In this work, the implementation of psycho-acoustic annoyance models in a 5G-enabled IoT system is proposed applying two Edge Computing approaches. A modified Zwicker’s model is adopted in this research, introducing a term that takes into account the tonal component of the captured sound. These implementations have been validated in a measurement campaign where several IoT devices have been deployed to evaluate different sound environments of a University Campus. Then, the analysis of the sound quality metrics is done in different location showing that if tonality is present in a noisy environment, it results in greater subjective annoyance. Moreover, the Just Noticeable Difference of these results are derived for the Zwicker’s psycho-acoustic annoyance to establish a limitation for this metric.

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“…Moreover, in [10], the authors offered a thoughtful study of different research using psycho-acoustic metrics. More recently, alternative variations of the equivalent sound pressure level [11][12][13] have been proposed to describe the soundscape in different environments. In addition to traditional acoustic parameters, other authors have explored other factors that affect soundscapes.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems

et al. 2023

View full text Add to dashboard Cite

Next-generation IoT systems will allow sustainable performance in long-term monitoring systems. This sustainability concept applies to soundscape description, as it allows monitoring in urban environments. In this work, the implementation of psycho-acoustic annoyance models in a 5G-enabled IoT system is proposed, applying two edge-computing approaches. A modified Zwicker’s model is adopted in this research, introducing a term that takes into account the tonal component of the captured sound. These implementations have been validated in a measurement campaign where several IoT devices have been deployed to evaluate different sound environments of a university campus. Then, the analysis of the sound-quality metrics is conducted in a different location, showing that if tonality is present in a noisy environment, it results in greater subjective annoyance. Moreover, the Just-Noticeable Difference of these results is derived from Zwicker’s psycho-acoustic annoyance to establish a limitation for this metric.

show abstract

Monitoring time-varying noise levels and perceived noisiness in hospital lobbies

Cited by 7 publications

References 33 publications

Noise effects, analysis and control in hospitals - A review

Noise effects, analysis and control in hospitals - A review

Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model With Edge Computing for 5G IoT Systems

Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems

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