An advanced physiological data logger for medical imaging applications

Khan, Tareq; Wahid, Khan A.

doi:10.1186/1687-3963-2012-10

Cited by 15 publications

(8 citation statements)

References 25 publications

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“…However, when the distance increased to 10 meters, we noticed that transmission rate was affected, with 80% of data successfully transmitted. Since, the data logger is wearable and generally worn around the waist in practice, the distance between a swallowed capsule and the data logger is generally about 0.3 meter [52]. Therefore, we expect our prototype to work at 2.4 GHz spectrum with no loss of data during communication.…”

Section: Wireless Communicationmentioning

confidence: 99%

A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer

Alam

Vedaei

Wahid

2020

Cancers

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Wireless capsule endoscopy (WCE) has been widely used in gastrointestinal (GI) diagnosis that allows the physicians to examine the interior wall of the human GI tract through a pain-free procedure. However, there are still several limitations of the technology, which limits its functionality, ultimately limiting its wide acceptance. Its counterpart, the wired endoscopic system is a painful procedure that demotivates patients from going through the procedure, and adversely affects early diagnosis. Furthermore, the current generation of capsules is unable to automate the detection of abnormality. As a result, physicians are required to spend longer hours to examine each image from the endoscopic capsule for abnormalities, which makes this technology tiresome and error-prone. Early detection of cancer is important to improve the survival rate in patients with colorectal cancer. Hence, a fluorescence-imaging-based endoscopic capsule that automates the detection process of colorectal cancer was designed and developed in our lab. The proof of concept of this endoscopic capsule was tested on porcine intestine and liquid phantom. The proposed WCE system offers great possibilities for future applicability in selective and specific detection of other fluorescently labelled cancers.

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Section: Wireless Communicationmentioning

confidence: 99%

A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer

Alam

Vedaei

Wahid

2020

Cancers

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“…In the current scenario, Bluetooth is the most suitable option because of its high bandwidth and support on many smartphone platforms. In [ 42 ], a high bit-rate data logger and its connectivity through Bluetooth are presented. A Bluetooth transreceiver [ 43 ] is connected with an IRU microcontroller in WCE.…”

Section: Framework Of the Proposed Systemmentioning

confidence: 99%

Mobile-Cloud Assisted Video Summarization Framework for Efficient Management of Remote Sensing Data Generated by Wireless Capsule Sensors

Mehmood

Sajjad

Baik

2014

Sensors

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Wireless capsule endoscopy (WCE) has great advantages over traditional endoscopy because it is portable and easy to use, especially in remote monitoring health-services. However, during the WCE process, the large amount of captured video data demands a significant deal of computation to analyze and retrieve informative video frames. In order to facilitate efficient WCE data collection and browsing task, we present a resource- and bandwidth-aware WCE video summarization framework that extracts the representative keyframes of the WCE video contents by removing redundant and non-informative frames. For redundancy elimination, we use Jeffrey-divergence between color histograms and inter-frame Boolean series-based correlation of color channels. To remove non-informative frames, multi-fractal texture features are extracted to assist the classification using an ensemble-based classifier. Owing to the limited WCE resources, it is impossible for the WCE system to perform computationally intensive video summarization tasks. To resolve computational challenges, mobile-cloud architecture is incorporated, which provides resizable computing capacities by adaptively offloading video summarization tasks between the client and the cloud server. The qualitative and quantitative results are encouraging and show that the proposed framework saves information transmission cost and bandwidth, as well as the valuable time of data analysts in browsing remote sensing data.

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“…This design does not include an internal storage memory. In [12], an advanced physiological data logger for medical imaging applications was designed. In the design, a 4MB SD card was used to store biomedical data.…”

Section: Related Workmentioning

confidence: 99%

Design of a Data Logger for Biomedical Signals

Akingbade¹,

Alimi²,

Oni³

2014

IJEEE

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Recording of physiological and psychological variables in real-life condition is useful in treatment of patients with health problem. In developing countries, delays in giving medical assistance to individuals (patients) usually occur due to the cumbersome process of getting patients' information to medical personnel. Due to advancement of low cost and portable electronic devices, this paper presents a non-invasive device that acquires and stores electrocardiogram (ECG) and temperature signals of patients. The analog signals from the signal conditioning circuit are sent to the microcontroller's analog to digital converter. The data is then logged in a SanDisk (SD) card for later transfer to a personal computer (PC). Playback of analog signals is also included using the microcontroller's CCP module to convert the stored data back to analog. A visual basic Graphical User Interface (GUI) is designed to view the graph of the data on PC. The circuit requires no external component for ADC and a simple low pass filter for DAC, resulting in reduced size of overall circuit and cost of the system.

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An advanced physiological data logger for medical imaging applications

Cited by 15 publications

References 25 publications

A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer

A Fluorescence-Based Wireless Capsule Endoscopy System for Detecting Colorectal Cancer

Mobile-Cloud Assisted Video Summarization Framework for Efficient Management of Remote Sensing Data Generated by Wireless Capsule Sensors

Design of a Data Logger for Biomedical Signals

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