Design of a Wireless Non-Contact Wearable System for Infants Using Adaptive Filter

Mahmud, Shaad; Wang, Honggang; Fang, Hua

doi:10.4108/eai.13-7-2017.2270652

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Mahmud , et al [40] designed a sensing system attached to the infant's diaper around the abdomen for monitoring cardiovascular activities. The system contains two capacitive electrodes (Plessy PS25255) based on electric potential integrated coupling (EPIC) for sensing ECG without direct contact with the infant's skin.…”

Section: State‐of‐the‐art Wihmsmentioning

confidence: 99%

Wearable technology for infant health monitoring: a survey

Memon

Bhatti

2020

IET Circuits, Devices & Systems

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Continuous health monitoring for an infant is crucial for detecting and preventing several diseases. Recent advancement in wearable technology has given rise to the development of wearable infant health monitoring systems (WIHMSs). These systems provide an edge over conventional infant health monitoring systems which are not only bulky and uncomfortable for the infants but are also limited to the clinical settings. This study reviews some state-of-the-art WIHMS, mentions the advantages, limitations and the challenges faced by such systems. This study, for the first time, contributes an appraisal of research prototypes and commercially available systems for WIHMS, which is the need of the day.

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Section: State‐of‐the‐art Wihmsmentioning

confidence: 99%

Wearable technology for infant health monitoring: a survey

Memon

Bhatti

2020

IET Circuits, Devices & Systems

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“…More recently, Kwon and Kim described in [23] another glassed-type wearable device to detect emotions from a human face via multi-channel facial responses, obtaining an accuracy of 78% at classifying emotions. Wearable devices have also been designed for infants to monitor vital signs [24], body temperature [25], health using an electrocardiogram (ECG) sensor [26], or as a pediatric rehabilitation device [27]. In addition, there is a growing number of mobile applications for infants, such as SmartCED [28], which is an Android application for epilepsy diagnosis, or commercial devices with a smartphone application for parents [29] (smart socks [30] or the popular video monitors [31]).…”

Section: Introductionmentioning

confidence: 99%

Application of Texture Descriptors to Facial Emotion Recognition in Infants

2020

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The recognition of facial emotions is an important issue in computer vision and artificial intelligence due to its important academic and commercial potential. If we focus on the health sector, the ability to detect and control patients’ emotions, mainly pain, is a fundamental objective within any medical service. Nowadays, the evaluation of pain in patients depends mainly on the continuous monitoring of the medical staff when the patient is unable to express verbally his/her experience of pain, as is the case of patients under sedation or babies. Therefore, it is necessary to provide alternative methods for its evaluation and detection. Facial expressions can be considered as a valid indicator of a person’s degree of pain. Consequently, this paper presents a monitoring system for babies that uses an automatic pain detection system by means of image analysis. This system could be accessed through wearable or mobile devices. To do this, this paper makes use of three different texture descriptors for pain detection: Local Binary Patterns, Local Ternary Patterns, and Radon Barcodes. These descriptors are used together with Support Vector Machines (SVM) for their classification. The experimental results show that the proposed features give a very promising classification accuracy of around 95% for the Infant COPE database, which proves the validity of the proposed method.

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