46
L. Chaari Fourati and S. Said
Table 1. Recapitulative table related to monosensing RHMS based BLE.
Ref and date Sensors Placement
Applications
[16] 2016
ECG
Arm
Wearable Noncontact Armband for Mobile ECG
Monitoring System
[17] 2014
SpO2
Finger
Oxygenated hemoglobin in the blood
[18] 2015
Weight Outside the body
Low power and smart Bluetooth scale for weight
monitoring.
[19] 2017
Strain
Fabric stretch sensor
attached to the clothes
-Muscle activaty Monitoring and body motion
recognition
[20] 2019
EMG
Lower leg, the gastrocnemius
muscle
Real time monitoring of muscle attached to the
clothes
[21] 2018
EEG
Scalp
Brain activity Monitoring
[22] 2018
PPG
Stomach movement
Respiratory rate monitoring
rate that can be integrated into clothes or attached directly to the human body.
In addition, Li Jinming and all. [26] proposed a multi-parameter cardiac remote
monitoring system based on ECG, pulse rate and heart sound sensed data. This
system is composed of a multi-channel physiological parameter acquisition unit,
an Android terminal, a cloud server and a Bluetooth Low Energy BLE protocol for data communication. Besides that, [29] introduced heart-monitoring
system evaluating the heart conditions based on sensed data from several wearable devices such as heart rate, blood pressure, body and skin temperature. The
sensed patient information are transmitted to a smartphone (running an Android
application) by the low energy protocol BLE and then will be visualized on the
Web application. According the authors, evaluation of the developed monitoring
system under expert’s supervision for 40 individuals (aged between 18 and 66
years) showed that the proposed system is convenient and reliable generating
warning messages to the doctor and patient under critical circumstances.
- Diabete Chronic Condition Monitoring Using Multi-sensing: Muhammad Syafrudin and all. [27] developed a healthcare monitoring system wich utilizing BLE based sensors to control the personal vital signs data such as heart
rate, blood glucose, and blood pressure to support diabetic patients to manage
individually their chronic condition. The BLE used in this system to transmit
patient’s health information from sensors to the smartphone, while to manage the sensor data by utilizing the real-time data processing, which used the
Apache Kafka as a platform and MongoDB as a database for storing the patient’s
informations.
- A Wearable Human Healthcare Monitoring System: proposed by [19]
supervising personal’s information such as body temperature, heart rate, and
blood oxygen saturation. The sensing node is wearable, miniaturized and based
on the microchip CC2538 and Contiki OS. The sensed data are transmitted
via a BLE communication interface to a mobile application. These data are
stored on cloud server using the MQTT protocol and analyzed via the data
L. Chaari Fourati and S. Said
Table 1. Recapitulative table related to monosensing RHMS based BLE.
Ref and date Sensors Placement
Applications
[16] 2016
ECG
Arm
Wearable Noncontact Armband for Mobile ECG
Monitoring System
[17] 2014
SpO2
Finger
Oxygenated hemoglobin in the blood
[18] 2015
Weight Outside the body
Low power and smart Bluetooth scale for weight
monitoring.
[19] 2017
Strain
Fabric stretch sensor
attached to the clothes
-Muscle activaty Monitoring and body motion
recognition
[20] 2019
EMG
Lower leg, the gastrocnemius
muscle
Real time monitoring of muscle attached to the
clothes
[21] 2018
EEG
Scalp
Brain activity Monitoring
[22] 2018
PPG
Stomach movement
Respiratory rate monitoring
rate that can be integrated into clothes or attached directly to the human body.
In addition, Li Jinming and all. [26] proposed a multi-parameter cardiac remote
monitoring system based on ECG, pulse rate and heart sound sensed data. This
system is composed of a multi-channel physiological parameter acquisition unit,
an Android terminal, a cloud server and a Bluetooth Low Energy BLE protocol for data communication. Besides that, [29] introduced heart-monitoring
system evaluating the heart conditions based on sensed data from several wearable devices such as heart rate, blood pressure, body and skin temperature. The
sensed patient information are transmitted to a smartphone (running an Android
application) by the low energy protocol BLE and then will be visualized on the
Web application. According the authors, evaluation of the developed monitoring
system under expert’s supervision for 40 individuals (aged between 18 and 66
years) showed that the proposed system is convenient and reliable generating
warning messages to the doctor and patient under critical circumstances.
- Diabete Chronic Condition Monitoring Using Multi-sensing: Muhammad Syafrudin and all. [27] developed a healthcare monitoring system wich utilizing BLE based sensors to control the personal vital signs data such as heart
rate, blood glucose, and blood pressure to support diabetic patients to manage
individually their chronic condition. The BLE used in this system to transmit
patient’s health information from sensors to the smartphone, while to manage the sensor data by utilizing the real-time data processing, which used the
Apache Kafka as a platform and MongoDB as a database for storing the patient’s
informations.
- A Wearable Human Healthcare Monitoring System: proposed by [19]
supervising personal’s information such as body temperature, heart rate, and
blood oxygen saturation. The sensing node is wearable, miniaturized and based
on the microchip CC2538 and Contiki OS. The sensed data are transmitted
via a BLE communication interface to a mobile application. These data are
stored on cloud server using the MQTT protocol and analyzed via the data