Table 2.
Studies and devices | Devices, sensors, measurement | Purpose |
Najafi et al (2010) [44] | Wearable: hip-worn strap (prototypea)
|
Recognize the motion of ankle and hip joints in 3 dimensions |
Grewal et al (2013) [56] | Wearable: lower limb band (LEGSys, BioSensics LLC)
|
Gait detection |
Luštrek et al (2014) [36] | Smartphone (model not specified)
|
Smartphone location detection; activity recognition: walking, running, cycling, lying, sitting, and standing; and energy expenditure estimation |
Luštrek et al (2015) [37] | Smartphone (model not specified)
|
Activity recognition: sleep, exercise, work, transport, eating, home, and outdoor |
Cvetković et al (2016) [47] | Smartphone (model not specified)
|
Activity recognition: sleep, exercise, work, transport, eating, home, and out |
Calbimonte et al (2017) [38] | Wearable: chest strap (Bioharness 3, Zephyr)
|
Generate 2 semantic models: physiological and energy expenditure for classifying hypoglycemic events |
Fraiwan et al (2017) [48] | Smartphone (Samsung Galaxy S6 Edge Plus, Samsung) Complementary: infrared thermal camera (FLIR ONE, FLIR Systems, Inc)
|
Recognize change of temperature on the feet |
McLean et al (2017) [49] | Smartphone (model not specified)
|
Quantify physical proximity, sedentary behavior, vehicle use, and location |
Razjouyan et al (2017) [57] | Wearable: chest strap (Bioharness 3, Zephyr)
|
Detection of physiological stress of the patient |
Reddy et al (2017) [39] | Smartphone (Nexus 5, LG Corporation and Google, LLC)
|
Discriminate between diabetic and healthy individuals |
Turksoy et al (2017) [50] | Wearable: armband (SenseWear, BodyMedia)
|
Find a correlation between biometric changes and glucose concentrations during exercise |
Bartolic et al (2018) [40] | Smartphone (model not specified)
|
Quantify physical activity, daily movement, sleep duration and quality, calorie consumption, insulin dosages, and continuous GL |
Faccioli et al (2018) [45] | Smartphone (model not specified)
|
Quantify step count, continuous GL, and carbohydrate intake |
Groat et al (2018) [51] | Smartphone (model not specified)
|
Quantify exercise behavior measured via a wristband and an app to compare with the rate of change in GL recorded by a CGM |
McMillan et al (2018) [46] | Wearable: thigh-worn (activPAL, PAL Technologies Ltd)
|
Quantify step count, cadence and postural transitions and energy expenditure estimates, and continuous GL |
Merickel et al (2018) [32] | Wearable: wristwatch (model not specified)
|
Compare the driving behavior from drivers with and without T1Dn |
Nguyen Gia et al (2019) [41] | Wearable: chest strap (prototype)
|
Monitor DMp and ECG, and report abnormalities: fall, very low or high GL, and abnormal HR in real time without interfering with the patient’s daily activities |
Rescio et al (2019) [33] | Wearable: smart insole (prototype)
|
Monitor temperature and pressure of the plantar foot |
Sarda et al (2019) [52] | Smartphone (model not specified)
|
Activity recognition: mobility, sleep, and social interaction |
Ramazi et al (2019) [34] | Wearable: CGM (Dexcom
G4 Platinum, Dexcom, Inc)
|
Quantify GL, traveled steps, and physical activity: sitting, standing, and lying |
Garcia et al (2019) [35] | Smartphone (iPhone 7, Apple Inc)
|
Capture facial images |
Sevil et al (2019) [42] | Wearable: wristband (Empatica E4, Empatica Inc)
|
Estimate acute psychological stress effect index and GL |
Zherebtsov et al (2019) [43] | Wearable: wristband (AMT-LAZMA 1, Aston Medical Technology Ltd)
|
Quantify changes in the microcirculatory blood flow in tissues |
Rodriguez-Rodriguez et al (2019) [53] | Wearable: FGM (FreeStyle Libre, Abbott Diabetes Care)
|
Quantify GL for the creation of a database for further processing by the prediction models |
Sanz et al (2019) [54] | Wearable: wristband (Fitbit Charge HR, Fitbit, Inc)
|
Quantify number of steps walked, number of floors of stairs climbed, exercise intensity, calories burned, and skin electrodermal activity |
Whelan et al (2019) [55] | Wearable: wristband (Fitbit Charge 2, Fitbit, Inc)
|
Quantify number of steps walked, distance traveled, HR, calories expended, flights of stairs climbed, and GL |
aText in italic represents model and company of each devices in that order. In the cases of no specification on the correspondent manuscript “Model not specified” it is stated.
bACC: accelerometer.
cHRM: heart rate monitor.
dHR: heart rate.
eRR: respiration rate.
fECG: electrocardiogram.
gHB: heartbeat.
hST: electrocardiogram measurement ST interval.
iQTc: corrected electrocardiogram measurement QT interval.
jPPG: photoplethysmogram.
kGM: glucose monitor.
lGL: glucose level.
mOBD: on-board diagnostics device.
nT1D: type 1 diabetes.
oQT: electrocardiogram measurement QT interval.
pDM: diabetes mellitus.