2018
DOI: 10.1155/2018/4071474
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IoT-Based Ambulatory Vital Signs Data Transfer System

Abstract: In emergencies or life-threatening situations, patients are generally shifted to hospitals in ambulances. The health conditions of on-board patients can become critical if they are not evaluated and treated in time. Chances of saving lives can increase significantly if patients’ vital signs inside an ambulance or on-site triage area are transferred to a hospital in real time. If the ambulances are linked to target hospitals, then the physicians in emergency rooms can monitor on-board patients’ vital signs and … Show more

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Cited by 16 publications
(5 citation statements)
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“…Using the previously presented Medical Data Transmission over the Cellular Network (MEDTOC) [1] method, the delay in the first visit with doctors can be greatly reduced. Similarly, the vital signs of many patients in the MEDTOC system can be combined, optionally reduced, and sent over the cellular network to local hospitals for patient monitoring.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Using the previously presented Medical Data Transmission over the Cellular Network (MEDTOC) [1] method, the delay in the first visit with doctors can be greatly reduced. Similarly, the vital signs of many patients in the MEDTOC system can be combined, optionally reduced, and sent over the cellular network to local hospitals for patient monitoring.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Existing IoT-based medical data transfer transmission was compared with the cellular network with regards to its efficacy in the medical triage system in [19]. The implementation of cellular based communication is more efficient because of its support for large emerging IoT applications according to [20].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The app transports the data to a server located in a cloud or to a corporate data centre. Misbahuddin et al (2018) proposed a patient monitoring system in which the patient's vital signs (e.g) ECG, temperature, etc., are measured using the wearable sensors.…”
Section: Related Workmentioning
confidence: 99%