Use of Smart Phone Technologies to Offer Easy-to-Use and Cost-Effective Telemedicine Services

2007 ◽  
Author(s):  
A. Holopainen ◽  
F. Galbiati ◽  
K. Voutilainen
Keyword(s):  
Smart Phone ◽  
Cost Effective

Cost Effective On-Site Fault Diagnosis Home Appliance Using a Smart Phone and Support Vector Machine

2019 ◽  
Author(s):  
Ji Min Baek ◽  
Kyeong Ha Lee ◽  
Seung Ho Lee ◽  
Ja Choon Koo
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Smart Phone ◽  
Poor Performance ◽  
Cost Effective ◽  
Consumer Electronics ◽  
Support Vector ◽  
Rotating Machines ◽  
Pass Filter ◽  
Rotating Machine

Abstract One of the common rotating machines of the consumer electronics might be a washing machine. The rotating machinery normally suffers mechanical failures even during daily operations that results in poor performance or shortening lifetime of the machine. Therefore, engineers have been interested in the earliest fault diagnosis of the rotating machine. Existing fault diagnosis methods for rotating machines have used fast fourier transform (FFT) method in frequency domain to detect abnormal frequency. However, it is difficult to diagnose using the FFT method if the normal frequency components of the rotating machines overlaps with the fault frequencies. In this paper, sets of acoustic signals generated by the washing machines are collected by using a smart phone in which an inexpensive microphone is equipped, and collected data are analyzed using a new algorithm, which combining the skewness, kurtosis, A-weighting filter, high-pass filter (HPF), and FFT. The analyzed data is applied to support vector machine (SVM) to determine defect existence. The proposed algorithm solves the disadvantages of the existing method and is accurate enough to discriminate the data collected by the cheap microphone of the smart phone.

Microscopic Image Photography Techniques of the Past, Present, and Future

2015 ◽  
Vol 139 (12) ◽  
pp. 1558-1564 ◽  
Author(s):  
Annie O. Morrison ◽  
Jerad M. Gardner
Keyword(s):  
Digital Image ◽  
Smart Phone ◽  
Cost Effective ◽  
Past Century ◽  
Microscopic Image ◽  
Digital Cameras ◽  
Image Capture ◽  
The Past ◽  
Image Capturing ◽  
Google Search

Context The field of pathology is driven by microscopic images. Educational activities for trainees and practicing pathologists alike are conducted through exposure to images of a variety of pathologic entities in textbooks, publications, online tutorials, national and international conferences, and interdepartmental conferences. During the past century and a half, photographic technology has progressed from primitive and bulky, glass-lantern projector slides to static and/or whole slide digital-image formats that can now be transferred around the world in a matter of moments via the Internet. Objective To provide a historic and technologic overview of the evolution of microscopic-image photographic tools and techniques. Data Sources Primary historic methods of microscopic image capture were delineated through interviews conducted with senior staff members in the Emory University Department of Pathology. Searches for the historic image-capturing methods were conducted using the Google search engine. Google Scholar and PubMed databases were used to research methods of digital photography, whole slide scanning, and smart phone cameras for microscopic image capture in a pathology practice setting. Conclusions Although film-based cameras dominated for much of the time, the rise of digital cameras outside of pathology generated a shift toward digital-image capturing methods, including mounted digital cameras and whole slide digital-slide scanning. Digital image capture techniques have ushered in new applications for slide sharing and second-opinion consultations of unusual or difficult cases in pathology. With their recent surge in popularity, we suspect that smart phone cameras are poised to become a widespread, cost-effective method for pathology image acquisition.

scholarly journals Development of IoT based solution for monitoring & controlling of loads using Google Assistant with Home Security System

2020 ◽  
Author(s):  
M. Abdul Rahiman ◽  
D Manohar
Keyword(s):  
Smart Home ◽  
Light Emitting Diode ◽  
Smart Phone ◽  
Cost Effective ◽  
Security System ◽  
Normal Families ◽  
Light Emitting ◽  
Cloud Application ◽  
And Control ◽  
Monitor And Control

The main aim of this project is to make a cost effective device which is used to monitor and control the loads by using simple voice commands. Previously we have ALEXA, SIRI & GOOGLE HOME which makes us more expensive. Even now when technology is handy enough only the well to do people of the society are blessed with these new smart home devices, as these devices costs are a bit high. However, not everyone is wealthy enough to be able to afford a human assistant, or some smart home kit. Hence, the need for finding an inexpensive and smart assistant for normal families keeps growing. This project proposes such inexpensive system. It uses the Google Assistant, the IFTTT application, the remoteme.org cloud application and the NodeMCU microcontroller as the major components along with a relay board comprising of 4 relays along with different sensors are working in this. Natural language voice is used to give commands to the Google Assistant All of the components are connected over the internet using Wi-Fi which puts this system under the IoT. And also we monitor data in this that is we using the different sensors like IR sensors, LDR (Light Emitting Diode) sensors etc; Not only to monitor and control the Loads but also providing the Security System to the Home, whenever the thief or the visitor enter into the room the owners will get push notification in their smart phone and also capturing the photos of visitors and uploaded to the Google Drive.

Extending WLCSP Packaging Technology Capabilities to Enable Miniaturized Sensor and MEMS Packaging Applications

2016 ◽  
Vol 2016 (DPC) ◽  
pp. 000397-000420
Author(s):  
Ted Tessier
Keyword(s):  
Smart Phone ◽  
Cost Effective ◽  
Wearable Electronics ◽  
Wafer Level ◽  
Technology Infrastructure ◽  
Sensor Applications ◽  
Mems Sensor ◽  
Sensing Applications ◽  
Communication Devices ◽  
Multiple Sensor

WLCSP has been widely deployed in portable computing and communication devices for efficient die level packaging of integrated semiconductor and integrated passive applications. More recently with the proliferation of smart phone capabilities and applications as well as the emergence of Internet of Things and Wearable Electronics, MEMS and sensor devices in minimized package formats have become increasingly pervasive. These include image sensors, light sensors, finger print sensors as well as accelerometer, gyroscope and other MEMS motion sensing devices. It is predicted that the widespread adoption of WLCSP packaging for sensing applications will accelerate the proliferation of the incorporation of multiple sensor technologies within future communication devices. A number of these MEMS/Sensor applications have been able to leverage the existing WLCSP technology infrastructure and has led to opportunities to packaging and cost-effective standardization and miniaturization. On the other hand, some significant new changes to WLCSP process flows have also emerged that have had to be addressed. This paper will provide an overview of MEMS and Sensor applications that are currently or will use 2D, 2.5D or 3D wafer level packaging formats. Process enhancements including the ability to process thinner substrates with the adoption of temporary carrier technologies will also be highlighted.

scholarly journals Community Triage of Otology Patients Using a Store-and-Forward Telemedicine Device: A Feasibility Study

2020 ◽  
pp. 014556132090895
Author(s):  
Nishi Gupta ◽  
Neeraj Chawla ◽  
Digant Gupta ◽  
Nidhi Dhawan ◽  
Vidya R. Janaki
Keyword(s):  
Developing Countries ◽  
Health Workers ◽  
Quality Care ◽  
Smart Phone ◽  
Chronic Otitis Media ◽  
Cost Effective ◽  
Tertiary Hospital ◽  
Acquired Hearing Loss ◽  
Provide Quality Care ◽  
Store And Forward

Chronic otitis media is a major contributor to acquired hearing loss in developing countries. Developing countries such as India, with huge populations and poor health infrastructures, have always felt the shortage of trained specialists who can provide quality care to meet the enormous demand for treatment of this disease. This pilot study assessed the feasibility of empowering trained health workers equipped with ENTraview, a store-and-forward telemedicine device that integrates a camera- enabled smart phone with an otoscope. This device allows the screening of otology patients within the community. Three months of extensive training was provided to five community health workers on primary ear and hearing care, including training on the use of the ENTraview device. Community otology screenings were conducted to triage otology patients and provide them with specialized ENT care at a tertiary hospital. In the initial 6 months of the project, 45 screening camps were organized, which screened 3,000 patients free of cost. Of these 3,000 screened patients, 54% (1,619) were referred for ENT consultation and 215 patients reported. Nearly 50% (103) of the 215 reporting patients required surgical intervention, and 29 patients underwent surgery. Reaching out to the community by remote screening of ear diseases by trained technicians with a telemedicine device seems to be an effective and cost-effective way to triage patients with otologic pathologies.

scholarly journals Apply of WhatsApp: A quick, simple, smarty and cost competent method of communication in neurosurgery

2016 ◽  
Vol 30 (2) ◽  
pp. 306-312 ◽  
Author(s):  
Vivek Kumar Kankane ◽  
Gaurav Jaiswal ◽  
Tarun Kumar Gupta
Keyword(s):  
Prospective Observational Study ◽  
Smart Phone ◽  
Cost Effective ◽  
Imaging Modalities ◽  
Management Decision ◽  
Radiological Imaging ◽  
Image Transfer ◽  
Cost Effective Method ◽  
Insignificant Difference ◽  
Free Mode

Abstract Objective: Neurosurgeons habitually have to hinge on judgments of subordinate staffs to build an assessment on patients whom they cannot be present at immediately. WhatsApp is a no charge to use application for image transfer on Internet. We evaluated the use of WhatsApp in neurosurgical milieu, to show it is economical, quick, available, reliable and practicable. Materials and methods: We coordinate a prospective observational study from December 2014 to June 2015. Residents were skilled to take sharp pictures and upload them immediately using WhatsApp on Internet. Primary conclusion was difference between opinion of residents and consultants on WhatsApp images and time delay in decision-making. Conflict was evaluated significant if it changed management decision. Results: In the study period, 1356 (mean age: 35.53 years, 71.28% males) patients were included in study those admitted in after hospital hours. Internet packs of smart phone available in market in very economical cost. Judgment could be made on images received on WhatsApp at an average of 4.06 min. There was Conflict in 7.22% cases between residents’ reports and images on WhatsApp. All Radiological imaging modalities, were associated with statistically Insignificant difference (P >0.05). Conclusion: This study suggests that apply of WhatsApp in neurosurgery can be a simple quick reliable and almost free mode of communicating images enabling a quick decision. Though this cost-effective method should be used with concern particularly with Radiological imaging modalities, which require dispensation and appraisal on console.

scholarly journals Wi-Fi Based Electronic Notice Board

2020 ◽  
pp. 128-133
Author(s):  
B Krishnamohan ◽  
M Gayatri Reddy ◽  
B Daniel Zachariah ◽  
M Prudhvi Raju ◽  
Bhavani Sai Krishna
Keyword(s):  
Control System ◽  
Smart Phone ◽  
Cost Effective ◽  
Data Rate ◽  
Centralized Control ◽  
Android Os ◽  
Notice Board ◽  
Modern Information ◽  
Controller Card ◽  
Board System

The main objective of this project is to develop a cost effective notice board system using a Wi-Fi based controller card controlled by any Android OS smart phone or through PC. Modern information is gradually shifting from conventional notice board to centralized control system, involving Wi-Fi system. In this paper we have proposed a system through wireless transmit notices on a notice board using Wi-Fi. Wi-Fi can pass information for about 100meter distance. Wi-Fi data rate has 1 or 2 Mbps.

scholarly journals Semi-automated Class Attendance Monitoring Using Smart Phone Technology

2020 ◽  
Author(s):  
Louise Cronjé ◽  
Ian Sanders
Keyword(s):  
Deep Neural Network ◽  
Local Binary Pattern ◽  
Smart Phone ◽  
Cost Effective ◽  
Roll Call ◽  
Single Class ◽  
Class Attendance ◽  
Face Detection And Recognition ◽  
Pattern Histogram ◽  
Detection And Recognition

Class attendance is important. Class attendance recording is often done using ‘roll-call’ or signing attendance registers. These are time consuming, easy to cheat and it is difficult to draw any information from them. There are other, expensive alternatives to automate attendance recording with varying accuracy. This study experimented with a smart phone camera and different combinations of face detection and recognition algorithms to determine if it can be used to record attendance successfully, while keeping the solution cost-effective. The effect of different class sizes was also investigated. The research was done within a pragmatism philosophy, using a prototype in a field experiment. The algorithms that were used, are: Viola-Jones (HAAR features), Deep Neural Network (DNN) and Histogram of Oriented Gradients (HOG) for detection and Eigenfaces, Fisherfaces and Local Binary Pattern Histogram (LBPH) for recognition. The best combination was Viola-Jones combined with Fisherfaces, with a mean accuracy of 54% for a class of 10 students and 34.5% for a class of 22 students. The best all over performance on a single class photo was 70% (class size 10). As is, this prototype is not accurate enough to use, but with a few adjustments, it may become a cheap, easy-to-implement solution to the attendance recording problem.

scholarly journals How We Do It: A DIY Smart Phone based ENT Endoscopy

2017 ◽  
Vol 25 (3) ◽  
pp. 176-179
Author(s):  
Shyam Duvvi ◽  
P Neelapala ◽  
A S Duvvi ◽  
B Nirmal Kumar
Keyword(s):  
Emergency Department ◽  
Visual Inspection ◽  
Smart Phone ◽  
Cost Effective ◽  
Easy Access ◽  
Effective Solution ◽  
Simple Method ◽  
Treatment Room ◽  
Accident And Emergency ◽  
Accident And Emergency Department

We present a simple method of preparing a smart phone based ENT endoscopy for OPD clinic and for on call ENT to provide emergency ENT care in Accident and Emergency department when required. In our experience, this method is efficient, economical and ensures mobility and flexibility of remote visual inspection and documentation. This aids in better care for patients especially where there is no easy access to traditional ENT treatment room facility. This provides a fast and cost-effective solution to simultaneously view capture and save photos and videos with a smartphone and, if required, send these pictures to oncall Consultant. This enables quicker identification, documentation and support regardless of location.

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