Mobile Health (m-Health) System in the Context of IoT

Almotiri, Sultan H.; Khan, Murtaza Ali; Alghamdi, Mohammed A.

doi:10.1109/w-ficloud.2016.24

Cited by 161 publications

(60 citation statements)

References 14 publications

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“…Ahn et al [11] has a smart chair for physiological signals such as ECG and BCG while sitting. Almotiri et al [12] proposes a mobile m-health system using wearable devices and a corporeal sensor network to collect patient data in real-time. The details was saved online and made available for patient diagnosis.…”

Section: Literature Surveymentioning

confidence: 99%

IoT-Based Skin Monitoring System

Bhadula¹,

Sharma²

2020

IJRTE

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The numbers of patients with skin diseases reported a dramatic increase which is a major concern and must be dealt with. The method of diagnosis is always based on physician’s observations and experiences. Many common symptoms such as side effects, allergies and even risks of skin cancer can be seen in someone following misdiagnosis, delayed diagnosis and failure to diagnose. The evaluation of skin changes is crucial to the correct diagnosis during follow-up. Through technological advances and partnerships, skin disorders can be identified and predicted and medical diagnosis outside physical limits are made. The article proposed an IoT-based skin surveillance system that facilitates the monitoring of skin patients in remote locations. In a diagnostic device for real-time skin monitoring and analysis, the proposed system architecture can be applied. A sensor fitted medical carriage is proposed in a remote location to treat individuals suffering from a common skin disorder. The system is also designed to research the impact of climate change on the disease through environmental sensors and provide pre-alertfor prevention. This addresses the many problems that people in remote areas without restricted treatment facilities face.

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Section: Literature Surveymentioning

confidence: 99%

IoT-Based Skin Monitoring System

Bhadula¹,

Sharma²

2020

IJRTE

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“…In such areas where the epidemic is spread, it is always a better idea to monitor these patients using remote health monitoring technology. So Internet of Things (IoT) based health monitoring system is the current solution for it [1]. Remote Patient Monitoring arrangement empowers observation of patients outside of customary clinical settings (e.g.…”

Section: Introductionmentioning

confidence: 99%

Iot Based Health Monitoring System

K.Abhinay¹,

D.Vignesh²,

Srikar³

et al. 2020

jcr

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Healthcare is given the extreme importance now a-days by each country with the advent of the novel corona virus. So in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. In this paper, a portable physiological checking framework is displayed, which can constantly screen the patient's heartbeat, temperature and other basic parameters of the room. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information's in server utilizing Wi-Fi Module based remote correspondence. A remote health monitoring system using IoT is proposed where the authorized personal can access these data stored using any IoT platform and based on these values received, the diseases are diagnosed by the doctors from a distance.

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“…These solutions can also aid in tackling the low doctor-to-patient ratio that exists in rural and inaccessible areas of developing countries [16]. Thus, given the fact that there is the necessity of using contextawareness when implementing ubiquitous solutions [8,11,14,16,17], it is important to develop context-aware solutions supporting health processes.…”

Section: Introductionmentioning

confidence: 99%