Review Article

Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective

Table 1

Mobile-based sensors applied for various healthcare-based applications.

Mobile sensorsMain areaApplications in healthcare

CameraCapturing photo and videoApplied for identifying various categories of diseases, in the perspective of effects in surgery, diagnosis of diseases, observing the slash, analysis of skin disease [63], monitoring the health of child, etc. [18].

GPSLocation trackingProvides an access to follow the patients who are vulnerable to some diseases such as the people with Alzheimer’s disease [64] and Ebola [65] by the application of mobile-based applications [66].

ElectrocardiographCardiovascular disease monitoringMobile phones which are enabled with the electrocardiographs are being used in areas which are underdeveloped for the purpose of monitoring the patients with heart diseases [40, 67].

BluetoothData sharing and communicationIt allows a midrange data communication between mobile devises, various other healthcare monitoring devices, and wearable sensors.

MicrophoneVoice recordingIt allows the doctors to communicate with the patients regarding the support for identification and treatment of diseases. It also comes up with the way for analyzing the audio for assessing the feeling of a patient with various diseases such as muscular dystrophy [68].

AccelerometerAcceleration measurementIt assists to compute the orientation of devices which are relative to Earth especially for calculating the motion. It can be executed in various activity monitoring techniques of patients such as counting the step of a person, gait analysis, and monitoring [19, 69].

Wi-FiData sharing and communicationWi-Fi-based mobile sensor enables the mobile device to communicate with the physician about the healthcare data to for the purpose of identification of a disease and its treatments.

Accelerometer, GPS, compass, gyroscope, and barometerPhysical activitiesCombination of hardware and the sensors present in it is being utilized for computing the stationary vs nonstationary actions [20].

Microphone, accelerometer, and GPSSocial engagementThis combination makes the monitoring of psychological health by checking the social problems, talks from the conversationalists, consternation, strain, behaviors related to depression, etc. [70, 71].

Microphone, GPS, accelerometer, touch interface, and light sensorSleep pattern trackingCombination of this hardware depicts the data of interrupted vs constant patterns of sleep in a patient [7174].