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https://www.readbyqxmd.com/read/29132359/portable-wireless-neurofeedback-system-of-eeg-alpha-rhythm-enhances-memory
#1
Ting-Ying Wei, Da-Wei Chang, You-De Liu, Chen-Wei Liu, Chung-Ping Young, Sheng-Fu Liang, Fu-Zen Shaw
BACKGROUND: Effect of neurofeedback training (NFT) on enhancement of cognitive function or amelioration of clinical symptoms is inconclusive. The trainability of brain rhythm using a neurofeedback system is uncertainty because various experimental designs are used in previous studies. The current study aimed to develop a portable wireless NFT system for alpha rhythm and to validate effect of the NFT system on memory with a sham-controlled group. METHODS: The proposed system contained an EEG signal analysis device and a smartphone with wireless Bluetooth low-energy technology...
November 13, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/29127653/development-of-a-3d-workspace-shoulder-assessment-tool-incorporating-electromyography-and-an-inertial-measurement-unit-a-preliminary-study
#2
Navid Aslani, Siamak Noroozi, Philip Davenport, Richard Hartley, Mihai Dupac, Philip Sewell
Traditional shoulder range of movement (ROM) measurement tools suffer from inaccuracy or from long experimental setup times. Recently, it has been demonstrated that relatively low-cost wearable inertial measurement unit (IMU) sensors can overcome many of the limitations of traditional motion tracking systems. The aim of this study is to develop and evaluate a single IMU combined with an electromyography (EMG) sensor to monitor the 3D reachable workspace with simultaneous measurement of deltoid muscle activity across the shoulder ROM...
November 11, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29117190/class-attendance-peer-similarity-and-academic-performance-in-a-large-field-study
#3
Valentin Kassarnig, Andreas Bjerre-Nielsen, Enys Mones, Sune Lehmann, David Dreyer Lassen
Identifying the factors that determine academic performance is an essential part of educational research. Existing research indicates that class attendance is a useful predictor of subsequent course achievements. The majority of the literature is, however, based on surveys and self-reports, methods which have well-known systematic biases that lead to limitations on conclusions and generalizability as well as being costly to implement. Here we propose a novel method for measuring class attendance that overcomes these limitations by using location and bluetooth data collected from smartphone sensors...
2017: PloS One
https://www.readbyqxmd.com/read/29109375/model-based-localization-and-tracking-using-bluetooth-low-energy-beacons
#4
F Serhan Daniş, Ali Taylan Cemgil
We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a moving sensor by integrating highly unreliable and noisy BLE observations streaming from multiple locations. A novel aspect of our approach is the development of an observation model, specifically tailored for received signal strength indicator (RSSI) fingerprints: a combination based on the optimal transport model of Wasserstein distance. The tracking results of the entire system are compared with alternative baseline estimation methods, such as nearest neighboring fingerprints and an artificial neural network...
October 29, 2017: Sensors
https://www.readbyqxmd.com/read/29075920/primary-prevention-of-asymptomatic-cardiovascular-disease-using-physiological-sensors-connected-to-an-ios-app
#5
Leire Moreno-Alsasua, Begonya Garcia-Zapirain, J David Rodrigo-Carbonero, Ibon Oleagordia Ruiz, Sofiane Hamrioui, Isabel de la Torre Díez
Cardiovascular disease is the first cause of death and disease and one of the leading causes of disability in developed countries. The prevalence of this disease is expected to increase in coming years although the death rate may be lower due to better treatment. To present the design and development of a technology solution for primary prevention of cardiovascular disease in asymptomatic patients. The system aims to raise the population's awareness of the importance of adopting healthy heart habits by using self-feedback techniques...
October 26, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29071077/assessing-the-use-of-breathesmart%C3%A2-mobile-technology-in-adult-patients-with-asthma-a-remote-observational-study
#6
Emilie Melvin, Anna Cushing, Anne Tam, Ruri Kitada, Melissa Manice
INTRODUCTION: Non-adherence to asthma daily controller medications is a common problem, reported to be responsible for 60% of asthma-related hospitalisations. The mean level of adherence for asthma medications is estimated to be as low as 22%. Therefore, objective measurements of adherence to medicine are necessary. This virtual observational study is designed to measure the usability of an electronic monitoring device platform that measures adherence. Understanding how patients use the BreatheSmart mobile technology at home is essential to assess its feasibility as a solution to improve medication adherence...
2017: BMJ Open Respiratory Research
https://www.readbyqxmd.com/read/29065534/development-of-a-telemetric-miniaturized-electrochemical-amperometric-analyzer
#7
Jaehyo Jung, Jihoon Lee, Siho Shin, Youn Tae Kim
In this research, we developed a portable, three-electrode electrochemical amperometric analyzer that can transmit data to a PC or a tablet via Bluetooth communication. We performed experiments using an indium tin oxide (ITO) glass electrode to confirm the performance and reliability of the analyzer. The proposed analyzer uses a current-to-voltage (I/V) converter to convert the current generated by the reduction-oxidation (redox) reaction of the buffer solution to a voltage signal. This signal is then digitized by the processor...
October 23, 2017: Sensors
https://www.readbyqxmd.com/read/29060950/fuzzy-logic-based-mobile-computing-system-for-hand-rehabilitation-after-neurological-injury
#8
Yu-Hsien Chiu, Tien-Wen Chen, Yenming J Chen, Ching-I Su, Kao-Shing Hwang, Wen-Hsien Ho
BACKGROUND: Effective neurological rehabilitation requires long term assessment and treatment. The rapid progress of virtual reality-based assistive technologies and tele-rehabilitation has increased the potential for self-rehabilitation of various neurological injuries under clinical supervision. OBJECTIVE: The objective of this study was to develop a fuzzy inference mechanism for a smart mobile computing system designed to support in-home rehabilitation of patients with neurological injury in the hand by providing an objective means of self-assessment...
October 13, 2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29060884/novel-force-sensing-system-for-minimally-invasive-surgical-instruments
#9
Justin Wee, Matthew Kang, Peter Francis, Robert Brooks, Leigh Masotti, Daniel Villavicencio, Thomas Looi, Georges Azzie, James Drake, J Ted Gerstle
Mastering proper force manipulation in minimally invasive surgery can take many years. Improper force control can lead to necrosis, infection, and scarring. This paper describes a novel system to measure, log, and display external forces at the distal end of minimally invasive surgical instruments in real-time. The system, comprising of a Force- Sensing Sleeve, Bluetooth electronics module, and an Android mobile application. A sensorized 5 mm minimally invasive surgical needle holder was evaluated for bending force accuracy, linearity, and repeatability in six directions...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060820/a-system-for-accelerometer-based-gesture-classification-using-artificial-neural-networks
#10
Robert M Stephenson, Ganesh R Naik, Rifai Chai
A great many people suffer from neurological movement disorders that render typical hardware interface devices ineffective. A need exists for a universal interface device that can be trained to accept a wide range of inputs across varying types and severities of movement disorders. In this regard, this paper details the design, testing and optimization of an accelerometer-based gesture identification system. A Bluetooth-enabled IMU mounted on the wrist provides hand motion trajectory information to a local terminal...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060738/wearable-wireless-user-interface-cursor-controller-uic-c
#11
Nicholas Marjanovic, Kevin Kerr, Ricardo Aranda, Richard Hickey, Hananeh Esmailbeigi
Controlling a computer or a smartphone's cursor allows the user to access a world full of information. For millions of people with limited upper extremities motor function, controlling the cursor becomes profoundly difficult. Our team has developed the User Interface Cursor-Controller (UIC-C) to assist the impaired individuals in regaining control over the cursor. The UIC-C is a hands-free device that utilizes the tongue muscle to control the cursor movements. The entire device is housed inside a subject specific retainer...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060667/tonguetospeech-tts-wearable-wireless-assistive-device-for-augmented-speech
#12
Nicholas Marjanovic, Giacomo Piccinini, Kevin Kerr, Hananeh Esmailbeigi
Speech is an important aspect of human communication; individuals with speech impairment are unable to communicate vocally in real time. Our team has developed the TongueToSpeech (TTS) device with the goal of augmenting speech communication for the vocally impaired. The proposed device is a wearable wireless assistive device that incorporates a capacitive touch keyboard interface embedded inside a discrete retainer. This device connects to a computer, tablet or a smartphone via Bluetooth connection. The developed TTS application converts text typed by the tongue into audible speech...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060666/a-wearable-eeg-based-massage-headband-for-anxiety-alleviation
#13
M Nair Chaitanya, Sharmila Jayakkumar, Edwin Chong, C H Yeow
In this work, we would like to discuss our findings obtained from the newly proposed hardware design for anxiety detection and its mitigation where a subject's state of mind is identified from the neurological data retrieved. A feedback-based network implemented for stress alleviation mainly comprises of a pair of massage motors and RGB light-emitting diode (LED) that activate during conditions of stress detected, a custom-made Electroencephalography (EEG)-sensor and a massage motor circuit both functioning on an Arduino driven platform...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060375/a-monitoring-system-for-walking-rehabilitation-after-thr-or-tkr-surgeries
#14
Qianpeng Zheng, Hong Chen
After total hip replacement and total knee replacement, patients are highly recommended to take walking rehabilitation, during which time, the weight loads on the limb should be limited to a certain range, which is difficult for patients to control on their own. To improve the accuracy and reliability of the traditional method for walking rehabilitation, we proposed a monitoring system comprised of pressure sensors, an analog digital converter, a micro-control unit, Bluetooth modules and a smart-phone application...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060328/system-design-and-experimental-research-of-lower-esophageal-sphincter-stimulator-for-treatment-of-gastroesophageal-reflux-disease
#15
Xin-Chen Sun, Wan-Jun Tao, Chuan-Qing Zhu, Li-Li Zhao, Min Wang, Xiao-Ying Lu, Zhi-Gong Wang, Zhi-Ning Fan
Electrical stimulation therapy (EST) of lower esophageal sphincters (LES) is a new technique for the treatment of gastroesophageal reflux disease (GERD). In this paper, an implantable LES stimulator with wireless power transmission is proposed for the treatment of GERD. The LES stimulator is composed of an implantable pulse generator (IPG), an external controller, and a wireless power transmission module. The IPG, whose area is 31×21 mm(2), is designed to generate voltage-regulated constant-current stimulation pulses...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060250/flexible-organic-tft-bio-signal-amplifier-using-reliable-chip-component-assembly-process-with-conductive-adhesive
#16
Shusuke Yoshimoto, Takafumi Uemura, Mihoko Akiyama, Yoshihiro Ihara, Satoshi Otake, Tomoharu Fujii, Teppei Araki, Tsuyoshi Sekitani
This paper presents a flexible organic thin-film transistor (OTFT) amplifier for bio-signal monitoring and presents the chip component assembly process. Using a conductive adhesive and a chip mounter, the chip components are mounted on a flexible film substrate, which has OTFT circuits. This study first investigates the assembly technique reliability for chip components on the flexible substrate. This study also specifically examines heart pulse wave monitoring conducted using the proposed flexible amplifier circuit and a flexible piezoelectric film...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060234/a-portable-platform-to-collect-and-review-behavioral-data-simultaneously-with-neurophysiological-signals
#17
Tianxiao Jiang, Hasan Siddiqui, Shruti Ray, Priscella Asman, Musa Ozturk, Nuri F Ince
This paper presents a portable platform to collect and review behavioral data simultaneously with neurophysiological signals. The whole system is comprised of four parts: a sensor data acquisition interface, a socket server for real-time data streaming, a Simulink system for real-time processing and an offline data review and analysis toolbox. A low-cost microcontroller is used to acquire data from external sensors such as accelerometer and hand dynamometer. The micro-controller transfers the data either directly through USB or wirelessly through a bluetooth module to a data server written in C++ for MS Windows OS...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059998/wireless-chest-wearable-vital-sign-monitoring-platform-for-hypertension
#18
G Janjua, D Guldenring, D Finlay, J McLaughlin
Hypertension, a silent killer, is the biggest challenge of the 21(st) century in public health agencies worldwide [1]. World Health Organization (WHO) statistic shows that the mortality rate of hypertension is 9.4 million per year and causes 55.3% of total deaths in cardiovascular (CV) patients [2]. Early detection and prevention of hypertension can significantly reduce the CV mortality. We are presenting a wireless chest wearable vital sign monitoring platform. It measures Electrocardiogram (ECG), Photoplethsmogram (PPG) and Ballistocardiogram (BCG) signals and sends data over Bluetooth low energy (BLE) to mobile phone-acts as a gateway...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059866/smartphone-app-to-investigate-the-relationship-between-social-connectivity-and-mental-health
#19
Tjeerd W Boonstra, Aliza Werner-Seidler, Bridianne O'Dea, Mark E Larsen, Helen Christensen
Interpersonal relationships are necessary for successful daily functioning and wellbeing. Numerous studies have demonstrated the importance of social connectivity for mental health, both through direct peer-to-peer influence and by the location of individuals within their social network. Passive monitoring using smartphones provides an advanced tool to map social networks based on the proximity between individuals. This study investigates the feasibility of using a smartphone app to measure and assess the relationship between social network metrics and mental health...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059795/wearable-health-monitoring-using-capacitive-voltage-mode-human-body-communication
#20
Shovan Maity, Debayan Das, Shreyas Sen
Rapid miniaturization and cost reduction of computing, along with the availability of wearable and implantable physiological sensors have led to the growth of human Body Area Network (BAN) formed by a network of such sensors and computing devices. One promising application of such a network is wearable health monitoring where the collected data from the sensors would be transmitted and analyzed to assess the health of a person. Typically, the devices in a BAN are connected through wireless (WBAN), which suffers from energy inefficiency due to the high-energy consumption of wireless transmission...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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