Detection of life-threatening arrhythmias using temporal, spectral and wavelet features

Karthika, J.; Thomas, Jan Mary; Kizhakkethottam, Jubilant J

doi:10.1109/iccic.2015.7435782

Cited by 6 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then the Internet of Things Cloud Server mainly has the task of storing and analyzing data. For example, specifically used to detect sleep disorders as in several studies that have been done [30]- [34] , whereas the last part of the graphical user interface module is commonly used for visualization and data management. This can make the foundation of the parts needed to create a framework of the problems that we raised in this paper to build a sensor network framework for Polysomnography.…”

Section: Related Workmentioning

confidence: 99%

Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment

Azman,

Wicaksono,

Sinaga*

2019

IJRTE

View full text Add to dashboard Cite

Sleep is a mandatory biological requirement for humans that require appropriate proportions and quality. The assessment method in determining the best sleep quality and the medical gold standard is to use a Polysomnography device. The advantages of the Internet of Things can significantly increase the usefulness of Polysomnography in suburban areas. The target location of this framework makes our consideration adhere to the Offline-First Internet of Things method to overcome the limitations of the internet at that location. Unfortunately, there are still problems coming from the concept of the Internet of Things itself, and the problem is in data security. So we propose a framework for Polysomnography devices that connects the Internet of Things with a focus on the security and confidentiality of patient data called Offline-First Sleep Assessment (OFFSA). We enumerate patient medical data and archive encryption to improve patient data security. The confidentiality of our patient data is achieved by encryption on every medical data exchange and is only open on the Graphic User Interface application on the device that has been registered.

show abstract

Section: Related Workmentioning

confidence: 99%

Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment

Azman,

Wicaksono,

Sinaga*

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…However, there are significant concerns in the development of IoT systems such as data security [11] and energy efficiency [12]. Some applications of the Internet of Things in the medical field, among others, are used for centralization and early detection of insomnia using electrocardiography remotely [13], to conduct cardiac monitoring and patient's heart attack [14,15,16], to monitor patient with Parkinson disease [17,18]. Furthermore, the IoT applies in remotely monitoring patients diagnosed with chronic kidney failure [19], monitoring the health of pregnant ladies, as well as monitoring the vital condition of the pregnant woman [20] which includes detecting potential miscarriage, [21] the body temperature [22] and long-distance monitoring of blood pressure using the concept of the IoT [23,62].…”

Section: Introductionmentioning

confidence: 99%

The Development of IoT Tele-Insomnia Framework to Monitor Sleep Disorder

Azman¹

2019

IJATCSE

View full text Add to dashboard Cite

The development of the Internet of Things for medical use has helped many medical practitioners to perform treatments remotely. Insomnia or sleep disorder is one of the most common medical conditions that could happen to the person who is living in the urban or remote area. This condition requires a clinical test through a monitoring process that includes EEG, BP, Pulse and Stress status. Due to limited sleep laboratory facilities and medical equipment for insomnia. This paper proposes an initial Tele-insomnia framework that enables the rural patients to be tested for sleep disorder remotely. The framework is tested through a well-developed tele-insomnia proto-type by way of pilot test through case study patients in three hospitals of Jakarta. The physicians and patients were interviewed regarding diagnose time, accuracy and conveniences. The proposed framework provides convenience for the patient as they did not need to commute from home to the hospital and takes up less time to complete the diagnosis.

show abstract

D-ECG: A Dynamic Framework for Cardiac Arrhythmia Detection from IoT-Based ECGs

Rong

Sun

et al. 2018

Web Information Systems Engineering – WISE 2018

View full text Add to dashboard Cite

Detection of life-threatening arrhythmias using temporal, spectral and wavelet features

Cited by 6 publications

References 17 publications

Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment

Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment

The Development of IoT Tele-Insomnia Framework to Monitor Sleep Disorder

D-ECG: A Dynamic Framework for Cardiac Arrhythmia Detection from IoT-Based ECGs

Contact Info

Product

Resources

About