2017 IEEE International Conference on Communication, Networks and Satellite (Comnetsat) 2017
DOI: 10.1109/comnetsat.2017.8263587
|View full text |Cite
|
Sign up to set email alerts
|

The IoT LoRa system design for tracking and monitoring patient with mental disorder

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
18
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 48 publications
(18 citation statements)
references
References 8 publications
0
18
0
Order By: Relevance
“…As for the authors in [22] they put forward a special system implementation, useful for tracking and monitoring the mental disorder affected patients’ activities. The system consists of a special patient‐installed tracking devices, by applying the LoRa client, along with other LoRa gateways installed hospital and public‐location instruments.…”
Section: Related Workmentioning
confidence: 99%
“…As for the authors in [22] they put forward a special system implementation, useful for tracking and monitoring the mental disorder affected patients’ activities. The system consists of a special patient‐installed tracking devices, by applying the LoRa client, along with other LoRa gateways installed hospital and public‐location instruments.…”
Section: Related Workmentioning
confidence: 99%
“…Another work has been published by [130] and communication ranges are tested in the study up-to 33 km 2 coverage areas are reached in rural test cases. Mentally disordered patients can be tracked using LoRa based communication technology [131]. Also, Petäjäjärvi et al [132] address the health and well being monitoring systems using testbeds.…”
Section: Lorawan Applicationsmentioning
confidence: 99%
“…IoT handles a set of protocols to communicate within devices. LoRa is a low-power wide-area network (LPWAN) protocol and is used for proceeding end-devices (sensors) by low energy consumption [23]. Fig.…”
Section: B Pycommentioning
confidence: 99%