Denetimsiz Anomali Tespiti Yaklaşımı ile Düşme Algılama

Sözer, Abdullah Talha

doi:10.17798/bitlisfen.997760

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Durgun (2023) performed the detection of falls in the elderly with an accelerometer sensor with an accuracy of 98.5%. Sözer (2022) suggested an anomaly detection approach to detect falls. He used accelerometer data and an average of 91.3% success was achieved as a result of the experiments.…”

Section: 𝐶𝐴 =mentioning

confidence: 99%

Otokodlayıcı Tabanlı Boyut Azaltma ve Akıllı Saat Tabanlı Giyilebilir Hareket Algılayıcıları Kullanarak Yaşlılarda Düşme Tespiti

SAĞBAŞ,

BALLI

2023

Afyon Kocatepe University Journal of Sciences and Engineering

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Falling is a serious health risk that can even result in death, especially for the elderly. For this reason, it is crucial to prevent falls and, in cases where prevention is not possible, to detect and intervene as soon as possible. Smartwatches are an ideal tool for fall detection due to their constant presence, rich sensor resources, and communication capabilities. The aim of this study is to detect falls in elderly people with high accuracy using motion sensor data obtained from smartwatches. To achieve this, a dataset was created consisting of falls and daily activities. Then, the feature vector was extracted which has provided successful results in signal processing studies. Afterward, the dimensionality of the dataset was reduced using an autoencoder-based approach in order to decrease the workload on smartwatches and ensure more accurate and faster classification. The dataset was classified using machine learning methods including naive Bayes, logistic regression, and C4.5 decision tree, and successful results were obtained. Their performances were then compared. It was observed that reducing the dimensionality had positive effects on both the classification accuracy and the computation time.

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Section: 𝐶𝐴 =mentioning

confidence: 99%

Otokodlayıcı Tabanlı Boyut Azaltma ve Akıllı Saat Tabanlı Giyilebilir Hareket Algılayıcıları Kullanarak Yaşlılarda Düşme Tespiti

SAĞBAŞ,

BALLI

2023

Afyon Kocatepe University Journal of Sciences and Engineering

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The effects of alarm fatigue on the tendency to make medical errors in nurses working in intensive care units

Gündoğan,

Erdağı Oral

2023

Nursing in Critical Care

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BackgroundAlarm fatigue resulting from exposure to multiple alarms is an important problem that threatens patient safety. The fact that each device in intensive care units works with different alarm systems increases the number and variety of alarms.AimThe aim of this study was to determine the effects of alarm fatigue on the tendency of nurses working in intensive care units to make medical errors.Study DesignA cross‐sectional and correlational design were used in this study. The study was carried out with 382 intensive care nurses who could be reached via an electronic questionnaire. Data were collected using a ‘Personal Information Form’, the ‘Alarm Fatigue Scale (AFS)’ and the ‘Medical Error Tendency Scale in Nursing (METSN)’.ResultsThe mean age of the nurses who were included in the study was 31.52 ± 5.66. While 70.2% of the participants were women, 67% had bachelor's degrees, and 65.4% had been working in the intensive care unit for 1–5 years. The mean total METSN score of the participants was 229.29 ± 15.32, and their mean total AFS score was 20.02 ± 6.15. A negative and weak significant correlation was found between the total mean AFS and METSN scores of the participants (r = −0.275; p < .001). As the alarm fatigue levels of the participants increased, their medical error tendencies increased. It was determined that a one‐unit increase in the alarm fatigue level of intensive care nurses increased their tendency to make medical errors by 0.263 units (p < .001).ConclusionsIt was found that the nurses had a low tendency to make medical errors and moderate levels of alarm fatigue, and an increase in their alarm fatigue levels significantly increased their medical error tendencies.Relevance to Clinical PracticeInstitutions should establish alarm management procedures in units with multiple alarm systems, such as intensive care units, and examine the effects of alarms on employees.

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Denetimsiz Anomali Tespiti Yaklaşımı ile Düşme Algılama

Cited by 2 publications

References 26 publications

Otokodlayıcı Tabanlı Boyut Azaltma ve Akıllı Saat Tabanlı Giyilebilir Hareket Algılayıcıları Kullanarak Yaşlılarda Düşme Tespiti

Otokodlayıcı Tabanlı Boyut Azaltma ve Akıllı Saat Tabanlı Giyilebilir Hareket Algılayıcıları Kullanarak Yaşlılarda Düşme Tespiti

The effects of alarm fatigue on the tendency to make medical errors in nurses working in intensive care units

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