2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) 2017
DOI: 10.1109/wispnet.2017.8300134
|View full text |Cite
|
Sign up to set email alerts
|

HEMAN: Health monitoring and nous: An IoT based e-health care system for remote telemedicine

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 61 publications
(16 citation statements)
references
References 6 publications
0
12
0
Order By: Relevance
“…In this application, sensors are attached to the clothes of the patients. Another researcher in the same area presented a low-cost rural ehealth monitoring model [14]. A similar smart health application by authors in [15] monitors the physiological parameters of the patients.…”
Section: Medical and Healthcare Applicationsmentioning
confidence: 99%
“…In this application, sensors are attached to the clothes of the patients. Another researcher in the same area presented a low-cost rural ehealth monitoring model [14]. A similar smart health application by authors in [15] monitors the physiological parameters of the patients.…”
Section: Medical and Healthcare Applicationsmentioning
confidence: 99%
“…The website works with a unique reference ID for every user. The doctor interface has a list of patients and their sensor data [54].…”
Section: Medical Adherencementioning
confidence: 99%
“…The paper [53] describes an e-healthcare monitoring system that checks and manages health through the internet using the SPO2 and other heart monitoring sensors. References [54,66] use a pulse oximeter sensor to sense the blood oxygen saturation and to find the pulse of the user [3,19,45]. Reference [33] explains a model that uses R-pi and interfaces an oximeter and airflow sensors to monitor the patient's breathing [51].…”
Section: Respiration Sensorsmentioning
confidence: 99%
“…In [73], [74], [76], [80], [82], [86], [88]- [90], [91], [92], [94]- [97], [100] and Raspberry PI [75], [77]- [79], [83], [87], [91] have been the most widely used platforms to be integrated into IoT4D projects.…”
Section: A Low-cost Iotmentioning
confidence: 99%