Non-invasive monitoring device to evaluate sleep quality at mining facilities

Pino, Esteban J.; Paz, Astrid Dorner De la; Aqueveque, Pablo

doi:10.1109/ias.2013.6682567

Cited by 3 publications

(5 citation statements)

References 27 publications

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“…Pino et al. [15] implemented a non‐invasive and portable prototype using pressure sensors on the bed to measure appropriate parameters and identify the sleep quality. Samy et al.…”

Section: Related Workmentioning

confidence: 99%

“…From the sensor point of view, the approaches in [21–23, 27] employ either the EEG or Doppler radar and are not convenient and suitable for use in the home for long‐term sleep monitoring. On the other hand, the proposed fuzzy‐logic‐based sleep depth evaluation would be more reasonable than other threshold‐based ones, such as [15, 29]. Moreover, the proposed system is not intended to substitute current standard methods, such as the PSG test, but to present an assistive approach for long‐term sleep monitoring.…”

Section: Related Workmentioning

confidence: 99%

“…Hao et al [14] presented a practical system to monitor sleeping by using the embedded microphone of a mobile phone to check the conditions associated with the sleep quality, including the snore, couch, and body movement. Pino et al [15] implemented a non-invasive and portable prototype using pressure sensors on the bed to measure appropriate parameters and identify the sleep quality. Samy et al [16] described a noninvasive scheme for sleep stage determination by using a pressure-sensitive bed with a high-resolution e-textile sheet.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, the proposed fuzzy-logic-based sleep depth evaluation would be more reasonable than other threshold-based ones, such as [15,29]. Moreover, the proposed system is not intended to substitute current standard methods, such as the PSG test, but to present an assistive approach for long-term sleep monitoring.…”

Section: Related Workmentioning

confidence: 99%

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Applications of wireless sensor systems to sleep stage estimation for home sleep monitoring

Lee

Dong

2022

IET Wireless Sensor Systems

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In recent years, research on sleep monitoring and analysis has attracted many scholars. Among them, the polysomnography (PSG) is performed more accurately. However, PSG is not suitable to be used at home due to its complicated operation and expensive cost. On the other hand, although the Pittsburgh sleep quality index (PSQI) is a standardized form for sleep quality assessment, the subjective and backward evaluation may lead to intuitive results. Therefore, this paper is intended to develop a sleep stage estimation system for home health care services. In the proposed platform, the sleep conditions, including the heart rate (HR) and body movement, are collected by an HR monitor and a force sensor array, respectively. Also, the fuzzy inference system is applied to the sleep depth evaluation, and then, the finite state machine is utilised to estimate the sleep stage. Experimental results show that the developed platform not only reduces the burden of PSG measurements, but also provides more convincible and reasonable results, presenting as an assistive tool of the conventional PSQI tests.

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“…Pino et al. [15] implemented a non‐invasive and portable prototype using pressure sensors on the bed to measure appropriate parameters and identify the sleep quality. Samy et al.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Applications of wireless sensor systems to sleep stage estimation for home sleep monitoring

Lee

Dong

2022

IET Wireless Sensor Systems

View full text Add to dashboard Cite

show abstract

“…A new sleep index system is proposed in [15] based on intelligent mattresses. Then, the aid of air mattresses is reported in [16, 17] and sleep quality is estimated based on an array of pressure sensors positioned on the bed, which can measure relevant parameters including time in bed (TB), body movements (BM), the thorax expansion, periods out of bed (POB) and apnea events. The PPG photoplethysmography (PhotoPlethysmoGraphy) is a commonly used technology that converts an electrical signal to the heart rate.…”

Section: Introductionmentioning

confidence: 99%

Applications of non‐invasive sensor devices to personalised health care

Lin

Jin

et al. 2020

J. eng.

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Body posture recognition and turning recording system for the care of bed bound patients

Hsiao

Yang³

et al. 2015

THC

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This paper proposes body posture recognition and turning recording system for assisting the care of bed bound patients in nursing homes. The system continuously detects the patient's body posture and records the length of time for each body posture. If the patient remains in the same body posture long enough to develop pressure ulcers, the system notifies caregivers to change the patient's body posture. The objective of recording is to provide the log of body turning for querying of patients' family members. In order to accurately detect patient's body posture, we developed a novel pressure sensing pad which contains force sensing resistor sensors. Based on the proposed pressure sensing pad, we developed a bed posture recognition module which includes a bed posture recognition algorithm. The algorithm is based on fuzzy theory. The body posture recognition algorithm can detect the patient's bed posture whether it is right lateral decubitus, left lateral decubitus, or supine. The detected information of patient's body posture can be then transmitted to the server of healthcare center by the communication module to perform the functions of recording and notification. Experimental results showed that the average posture recognition accuracy for our proposed module is 92%.

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Non-invasive monitoring device to evaluate sleep quality at mining facilities

Cited by 3 publications

References 27 publications

Applications of wireless sensor systems to sleep stage estimation for home sleep monitoring

Applications of wireless sensor systems to sleep stage estimation for home sleep monitoring

Applications of non‐invasive sensor devices to personalised health care

Body posture recognition and turning recording system for the care of bed bound patients

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