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1 27 from neither the reference camera nor the smartphone).
2 fluorescence emission that was captured by a smartphone.
3 her completed by using image processing in a smartphone.
4 pectrophotometer or the built-in camera of a smartphone.
5 of 202 adults 18 years or older who owned a smartphone.
6 e 3D-printed simple accessories to adapt the smartphone.
7 a is more sensitive at detecting DR than the smartphone.
8 the gyro sensor and the digital camera of a smartphone.
9 orage of results using cloud computing via a smartphone.
10 ammonia, and relative humidity readable by a smartphone.
11 ion platforms that can send information to a smartphone.
12 ctral sensing with nanometer resolution on a smartphone.
13 d enrollment, conducted entirely remotely by smartphone.
14 energy harvesting and data transmission to a smartphone.
15 less technology to transmit the results to a smartphone.
16 LAMP box" supplemented with a consumer class smartphone.
17 to the operating system and applications of smartphones.
18 however, have been difficult to implement in smartphones.
19 ting stations, dedicated e-mail servers, and smartphones.
20 nsing systems which are more compatible with smartphones.
21 health facilities, and other features using smartphones.
22 uctions on how best to take photographs with smartphones.
23 so 371 from the reference camera but not the smartphone, 170 from the smartphone but not the referenc
24 Ninety-five percent had access to a personal smartphone, 62% used the Internet more than occasionally
25 al (3D) printing technology, we fabricated a smartphone accessory and a minicartridge for hosting bio
26 The NutriPhone technology comprises of a smartphone accessory, an app, and a competitive-type lat
27 ironPhone diagnostic platform comprises of a smartphone accessory, an app, and a disposable lateral f
29 Nonclinical photographers using the low-cost smartphone adapter were able to acquire optic nerve imag
30 artridge, which houses the LFIA strip, and a smartphone adaptor with a plano-convex lens and a cartri
32 t, we propose a compact device composed of a smartphone and a custom-designed cradle, containing only
34 onsists in a cover accessory attached to the smartphone and incorporating a light diffuser over the f
36 specificity in the detection of DR for both smartphone and nonmydriatic photography were determined
37 int-of-care sensor that snugly fits around a smartphone and which does not face issues usually common
41 In conclusion, novel technologies, such as smartphones and sensors, provide insights in personal ex
47 f physical activity, fitness, and sleep from smartphones and to gain insights into activity patterns
50 traditional desktop scanner, augmenting that smartphones (and other mobile devices) promise to be a p
51 itored using a photomultiplier tube (PMT) or smartphone, and the images are analyzed using ImageJ sof
56 to self-monitor calories, but introducing a smartphone app is unlikely to produce substantial weight
57 aimed to investigate the effectiveness of a smartphone app on weight reduction in obese or overweigh
59 and r = 0.856 for visual interpretation and smartphone app, respectively), and both POC test methods
60 The aim of this study was to use a Stroop smartphone application (app) (EncephalApp_Stroop) to scr
63 the study period, most subjects who used the smartphone application experienced weight loss in a sign
64 The findings suggest that a multifeatured smartphone application may have significant benefit to p
65 antly, a combination of this platform with a smartphone application provides quantitative data on the
72 crepancy exists with regard to the effect of smartphone applications (apps) on weight reduction due t
73 s Diseases Society of America guidelines and smartphone applications as frequent resources for learni
74 feasibility testing of three daily activity smartphone applications based on motivational frames dra
75 positive and negative predictive values of 4 smartphone applications designed to aid nonclinician use
77 melanoma risk is highly variable, and 3 of 4 smartphone applications incorrectly classified 30% or mo
78 , which uses dermoscopes in combination with smartphone applications, as well as regarding the possib
80 -to-consumer (DTC) telemedicine websites and smartphone apps diagnosing and treating skin disease.
83 conditions of light, using the flash of the smartphone as a light source, the image captured with th
84 rotation-driven microfluidic devices with a smartphone as a potential alternative for current presum
85 tilize the ambient light sensor (ALS) of the smartphone as light intensity detector and its LED flash
89 bioluminescent-based analyte quantitation by smartphone (BAQS), provides an opportunity for onsite an
92 sent a simple, sensitive, rapid and portable smartphone based fluorescence device for E. coli O157:H7
93 s review, our focus is on recent advances on smartphone based sensing and diagnosis applications.
100 our approach suitable for the realization of smartphone-based biosensors able to non-invasively detec
102 ledge, this is the first clinical study of a smartphone-based chloride sensor, paving the way for poi
110 inting low-cost technology we fabricated the smartphone-based device that consists in a cover accesso
112 Our objective was to assess the ability of a smartphone-based electroencephalography (EEG) applicatio
114 re, we characterized choice preferences in a smartphone-based experiment (n = 25,189) in which partic
115 gy to enhance the detection sensitivity of a smartphone-based fluorescence microscope by using surfac
118 l permits using a compact and cost-effective smartphone-based fluorescence reader, an important requi
120 al neuroimaging, computational modeling, and smartphone-based large-scale data collection to test, in
122 13, to March 4, 2014, comparing results from smartphone-based Peek Acuity to Snellen acuity (clinical
124 lectrochemical format and a custom, low-cost smartphone-based potentiostat ($20 USD) yielded comparab
125 l phone tower triangulation and to trigger a smartphone-based questionnaire when located in a hospita
128 This study reports the development of a smartphone-based sensing strategy that employs chemiresp
134 -0.10) logMAR, respectively, indicating that smartphone-based test acuities agreed well with those of
135 phone-based test and the ETDRS chart and the smartphone-based test and Snellen acuity data were 0.07
138 lectroencephalography (EEG) application, the Smartphone Brain Scanner-2 (SBS2), to detect epileptifor
139 camera but not the smartphone, 170 from the smartphone but not the reference camera, and 227 from ne
141 ction and quantification is achieved using a smartphone camera and integrated image analysis app.
143 sease-specific DNA sequences that utilizes a smartphone camera as the sensor in conjunction with a ha
144 imaging of QD photoluminescence (PL) with a smartphone camera is a viable, easily accessible readout
146 lly observed by the naked eye or imaged by a smartphone camera under a portable UV light source.
147 either a digital camera, consumer webcam, or smartphone camera were sufficient for analysis on the ba
153 ithm to maximize the sensitivity of standard smartphone cameras, that can detect the presence of sing
155 hort message service, or text messaging, and smartphones, can improve lifestyle behaviors and managem
156 The glucose meter includes a custom-built smartphone case that houses a permanent bare sensor stri
157 conventional systems taking the advantage of smartphone connectivity and the enhanced performance of
158 ility to perform rapid in-flight assays with smartphone connectivity eliminates delays between sample
160 mates of steps taken per day correlated with smartphone data (surrogates: n = 13, rho = 0.56, p < 0.0
164 nd cost-effective ion-selective optode and a smartphone detector equipped with a color analysis app.
165 s from a drop of blood, is compatible with a smartphone detector, and displays analytical figures of
167 To address these challenges, we developed a smartphone-enabled optofluidic platform to measure brain
169 ubiquitous consumer electronic devices (e.g. smartphones, flatbed scanner) are considered promising a
173 We present an optical sensing platform on a smartphone for high-throughput screening immunoassays.
181 ndly operating systems and applications, the smartphones have replaced laptops and desktop computers.
182 iability of this optical sensing platform on smartphone, human interleukin 6 (IL-6) protein and six t
184 dy compared the grading of optic nerves from smartphone images with those of a digital retinal camera
185 measurements of replicate samples made with smartphone imaging and a sophisticated fluorescence plat
187 his work also adds to the growing utility of smartphones in analytical methods by enabling multiplexe
188 These results demonstrate a potential for smartphones in large-scale computational phenotyping, wh
191 tion of various bio-sensing platforms within smartphone-integrated electronic readers provides accura
192 heet on how best to take photographs using a smartphone (intervention group); the other half did not
193 his field-portable fluorescent imager on the smartphone involves a compact laser-diode-based photosou
194 lable to the practitioner through the use of smartphones, iPads, and other personal digital assistant
198 lectronic components found in every consumer smartphone, is extremely fast because no complex labelli
199 ission of the sensed information to standard smartphones, laptops, and other consumer electronics for
200 evice capable of displaying information in a smartphone-like hands-free format by wireless communicat
205 usual (n = 179) or treatment as usual plus a smartphone (n = 170) with the Addiction-Comprehensive He
208 bility, affordability, and connectivity of a smartphone ophthalmoscope make smartphone ophthalmoscopy
209 ectivity of a smartphone ophthalmoscope make smartphone ophthalmoscopy a promising technique for comm
211 croscopy, the sensitivity and specificity of smartphone ophthalmoscopy for the detection of clinicall
213 After pupil dilation, the patients underwent smartphone ophthalmoscopy with the D-Eye device, followe
215 g respiration can be transmitted to a nearby smartphone or tablet computer for post-processing, and s
216 ailable mobile phone (from low-end phones to smartphones) or cellular network (second, third, and fou
218 To overcome these problems, we propose a smartphone paper-based biosensor, in which all the reage
222 ng of a low cost, robust, and field portable smartphone platform fluoride sensor that can detect and
224 ditions, offering one route toward improving smartphone quantification of muPAD assays for in-field w
226 fully integrated lab-on-chip platforms with smartphone readouts, enabling health-care practitioners
230 fouling, drag-reducing, or anti-fogging, for smartphone screens, eye glasses, windshields, or flat pa
232 or allergic rhinitis) app (Allergy Diary) on smartphones screens to evaluate allergic rhinitis sympto
234 e to extract objective data from a patient's smartphone, specifically, step and global position syste
235 he first time, we demonstrate a multichannel smartphone spectrometer (MSS) as an optical biosensor th
236 se reflectance spectroscopy system using the smartphone spectrometer and demonstrated the capability
244 f paper-based devices to the widely accepted smartphone technology will increase the capability of pa
245 in prolonged daily sitting, and were new to smartphone technology, participated in iterative design
249 The study demonstrated that the Peek Acuity smartphone test is capable of accurate and repeatable ac
250 are workers readily accepted the Peek Acuity smartphone test; it required minimal training and took n
251 a 3D-printed case that can be attached to a smartphone, the USB port of which drives the integrated
252 of consent and data collection entirely on a smartphone, the use of machine learning to cluster parti
254 g the detection hardware and connects with a smartphone through a microUSB port for operational contr
256 device has a dedicated app interface on the smartphone to communicate, receive, plot and analyze spe
257 integrated with a portable reader system and smartphone to detect THC in saliva using competitive ass
258 we report, for the first time, the use of a smartphone to image and quantify biochemiluminescence co
259 ow immunoassay (LFIA) method integrated in a smartphone to quantitatively detect salivary cortisol.
260 e LFS) as well as the use of devices such as smartphones to mediate the response of LFSs will be anal
263 ed on G-quadruplex DNAzyme integrated with a smartphone was developed to quantitatively detect formal
266 al activity data from the current-generation smartphones was feasible in approximately 50% of patient
268 cutively admitted adult patients who owned a smartphone, who were ambulatory at baseline, and who rem
270 GM) and insulin pump connected to a modified smartphone with a model predictive control algorithm.
271 during 2012-2013, the children were given a smartphone with CalFit software to obtain information on
273 we demonstrate the capability of a consumer smartphone with low-cost add-ons to measure concentratio
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