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https://www.readbyqxmd.com/read/28229020/an-open-source-device-for-operant-licking-in-rats
#1
Matthew Longley, Ethan L Willis, Cindy X Tay, Hao Chen
We created an easy-to-use device for operant licking experiments and another device that records environmental variables. Both devices use the Raspberry Pi computer to obtain data from multiple input devices (e.g., radio frequency identification tag readers, touch and motion sensors, environmental sensors) and activate output devices (e.g., LED lights, syringe pumps) as needed. Data gathered from these devices are stored locally on the computer but can be automatically transferred to a remote server via a wireless network...
2017: PeerJ
https://www.readbyqxmd.com/read/28227948/stayfit-a-wearable-application-for-gym-based-power-training
#2
Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Rangavittal Narayanan, Vijay N Tiwari, Vivek Jilla, Aman Gaurav, Maram Maheedhar
Comprehensive fitness training involves both cardiorespiratory and power components. Often power/muscle strength training is confused with cardiorespiratory endurance training. However, each of them target different physiological aspects of fitness. Although, wearable based fitness trackers designed towards cardiorespiratory endurance training are available in the market, a dedicated wearable based fitness application designed for power training/tracking is still not readily available to fitness enthusiasts...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227880/toward-personalized-and-context-aware-prompting-for-smartphone-based-intervention
#3
Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, Diane J Cook, Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, Diane J Cook, Ashley Nichole Gibson, Samaneh Aminikhanghahi, Ramin Fallahzadeh, Diane J Cook
Intervention strategies can help individuals with cognitive impairment to increase adherence to instructions, independence, and activity engagement and reduce errors on everyday instrumental activities of daily living (IADLs) and caregiver burden. However, to be effective, intervention prompts should be given at a time that does not interrupt other important user activities and is more convenient. In this paper, we propose an intelligent personalized intervention system for smartphones. In our approach, we use context and activity awareness to time prompts when they will most likely be viewed and used...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227830/an-adaptive-model-approach-for-quantitative-wrist-rigidity-evaluation-during-deep-brain-stimulation-surgery
#4
Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha, Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha, Maria Jose Rosas, Joao Paulo Silva Cunha, Sofia Assis, Rui Vaz, Pedro Costa
Intraoperative evaluation of the efficacy of Deep Brain Stimulation includes evaluation of the effect on rigidity. A subjective semi-quantitative scale is used, dependent on the examiner perception and experience. A system was proposed previously, aiming to tackle this subjectivity, using quantitative data and providing real-time feedback of the computed rigidity reduction, hence supporting the physician decision. This system comprised of a gyroscope-based motion sensor in a textile band, placed in the patients hand, which communicated its measurements to a laptop...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227608/a-triboelectric-motion-sensor-in-wearable-body-sensor-network-for-human-activity-recognition
#5
Hui Huang, Xian Li, Ye Sun, Hui Huang, Xian Li, Ye Sun, Ye Sun, Hui Huang, Xian Li
The goal of this study is to design a novel triboelectric motion sensor in wearable body sensor network for human activity recognition. Physical activity recognition is widely used in well-being management, medical diagnosis and rehabilitation. Other than traditional accelerometers, we design a novel wearable sensor system based on triboelectrification. The triboelectric motion sensor can be easily attached to human body and collect motion signals caused by physical activities. The experiments are conducted to collect five common activity data: sitting and standing, walking, climbing upstairs, downstairs, and running...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227571/applying-neural-network-to-vo2-estimation-using-6-axis-motion-sensing-data
#6
Naoteru Nakamura, Takashi Nagata, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara, Naoteru Nakamura, Takashi Nagata, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara, Takashi Kawabata, Masato Miyatake, Shinsuke Hara, Akira Yuuki, Naoteru Nakamura, Takashi Nagata, Hiroyuki Yomo
This paper focuses on oxygen consumption (VO2) estimation using 6-axis motion data (3-axis acceleration and 3-axis angular velocity) that are obtained from small motion sensors attached to people playing sports with different intensities. In order to achieve high estimation accuracy over a wide range of intensities of exercises, we apply neural network that is trained by experimental data consisting of the measured VO2 and motion sensing data of people with a wide range of intensities of exercises. We first investigate the gain brought by applying neural network by comparing its accuracy with an approach based on the linear regression model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227570/vo2-estimation-using-6-axis-motion-sensor-with-sports-activity-classification
#7
Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara, Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara, Takashi Kawabata, Shinsuke Hara
In this paper, we focus on oxygen consumption (VO2) estimation using 6-axis motion sensor (3-axis accelerometer and 3-axis gyroscope) for people playing sports with diverse intensities. The VO2 estimated with a small motion sensor can be used to calculate the energy expenditure, however, its accuracy depends on the intensities of various types of activities. In order to achieve high accuracy over a wide range of intensities, we employ an estimation framework that first classifies activities with a simple machine-learning based classification algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227175/an-asynchronous-multi-view-learning-approach-for-activity-recognition-using-wearables
#8
Yuchao Ma, Hassan Ghasemzadeh, Yuchao Ma, Hassan Ghasemzadeh, Hassan Ghasemzadeh
In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate transfer of activity classification models across asynchronous sensor views. Our study is motivated by the highly dynamic nature of health monitoring using wearable sensors. Such dynamics include changes in sensing platform (e.g., sensor upgrade) and platform settings (e.g., sampling frequency, on-body sensor location), which result in failure of the machine learning algorithms if they remain untrained in the new setting...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227056/method-for-seamless-unlock-function-for-mobile-applications
#9
Ihor Vasyltsov, Changgyu Bak, Ihor Vasyltsov, Changgyu Bak, Changgyu Bak, Ihor Vasyltsov
In this paper there is proposed an approach for seamless unlock security function for mobile application. The method combines the biomedical signals measured from human body and motion signals acquired from the devices. For this purpose a wearable device and a mobile device can be securely synchronized. It is shown that entropy extracted from biomedical ECG signal is comparable to the strength of the PIN-code security, the same time giving the easiness, flexibility, and seamlessness of the usage to the user...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226570/a-wearable-signal-acquisition-system-for-physiological-signs-including-throat-ppg
#10
Yizhou Zhong, Yun Pan, Ling Zhang, Kwang-Ting Cheng, Yizhou Zhong, Yun Pan, Ling Zhang, Kwang-Ting Cheng, Yizhou Zhong, Ling Zhang, Kwang-Ting Cheng, Yun Pan
This paper presents a wearable signal acquisition system, which can measure physiological signs, i.e., electrocardiogram (ECG) and photoplethysmogram (PPG). The system is comprised of two parts: (1) an ECG sensor implemented in the master board which will be mounted on the chest and, (2) a combined PPG and motion sensor implemented in the slave board which will be worn around the neck area. The single-lead ECG, the single-channel PPG, and the 3-channel accelerometer signals are all sampled at 200Hz, and transmitted to an Android app through Bluetooth® low energy (BLE) in real time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28220928/malt-combined-motor-and-language-therapy-tool-for-brain-injury-patients-using-kinect
#11
Maitreyee Wairagkar, Rachel McCrindle, Holly Robson, Lotte Meteyard, Malcom Sperrin, Andy Smith, Moyra Pugh
BACKGROUND: The functional connectivity and structural proximity of elements of the language and motor systems result in frequent co-morbidity post brain injury. Although rehabilitation services are becoming increasingly multidisciplinary and "integrated", treatment for language and motor functions often occurs in isolation. Thus, behavioural therapies which promote neural reorganisation do not reflect the high intersystem connectivity of the neurologically intact brain. As such, there is a pressing need for rehabilitation tools which better reflect and target the impaired cognitive networks...
February 21, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28206828/validity-of-the-timed-25-foot-walk-as-an-ambulatory-performance-outcome-measure-for-multiple-sclerosis
#12
Robert W Motl, Jeffrey A Cohen, Ralph Benedict, Glenn Phillips, Nicholas LaRocca, Lynn D Hudson, Richard Rudick
The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) includes representatives from advocacy organizations, Food and Drug Administration (FDA), European Medicines Agency (EMA), National Institute of Neurological Disorders and Stroke (NINDS), academic institutions, and industry partners along with persons living with multiple sclerosis (MS). One of the MSOAC goals is acceptance and qualification by regulators of performance outcomes that are highly reliable and valid, practical, cost-effective, and meaningful in MS...
February 1, 2017: Multiple Sclerosis: Clinical and Laboratory Research
https://www.readbyqxmd.com/read/28194507/using-a-motion-sensor-equipped-smartphone-to-facilitate-ct-guided-puncture
#13
Masaaki Hirata, Ryouhei Watanabe, Yasuhiro Koyano, Shigenori Sugata, Yukie Takeda, Seiji Nakamura, Akihisa Akamune, Takaharu Tsuda, Teruhito Mochizuki
PURPOSE: To demonstrate the use of "Smart Puncture," a smartphone application to assist conventional CT-guided puncture without CT fluoroscopy, and to describe the advantages of this application. MATERIALS AND METHODS: A puncture guideline is displayed by entering the angle into the application. Regardless of the angle at which the device is being held, the motion sensor ensures that the guideline is displayed at the appropriate angle with respect to gravity. The angle of the smartphone's liquid crystal display (LCD) is also detected, preventing needle deflection from the CT slice image...
February 13, 2017: Cardiovascular and Interventional Radiology
https://www.readbyqxmd.com/read/28178288/monitoring-gait-in-multiple-sclerosis-with-novel-wearable-motion-sensors
#14
Yaejin Moon, Ryan S McGinnis, Kirsten Seagers, Robert W Motl, Nirav Sheth, John A Wright, Roozbeh Ghaffari, Jacob J Sosnoff
BACKGROUND: Mobility impairment is common in people with multiple sclerosis (PwMS) and there is a need to assess mobility in remote settings. Here, we apply a novel wireless, skin-mounted, and conformal inertial sensor (BioStampRC, MC10 Inc.) to examine gait characteristics of PwMS under controlled conditions. We determine the accuracy and precision of BioStampRC in measuring gait kinematics by comparing to contemporary research-grade measurement devices. METHODS: A total of 45 PwMS, who presented with diverse walking impairment (Mild MS = 15, Moderate MS = 15, Severe MS = 15), and 15 healthy control subjects participated in the study...
2017: PloS One
https://www.readbyqxmd.com/read/28167961/real-time-fall-risk-assessment-using-functional-reach-test
#15
Brian Williams, Brandon Allen, Zhen Hu, Hanna True, Jin Cho, Austin Harris, Nancy Fell, Mina Sartipi
Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in mStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation...
2017: International Journal of Telemedicine and Applications
https://www.readbyqxmd.com/read/28145419/usefulness-of-motion-sensors-to-estimate-energy-expenditure-in-children-and-adults-a-narrative-review-of-studies-using-dlw
#16
REVIEW
L B Sardinha, P B Júdice
It is well documented that meeting moderate-to-vigorous physical activity guidelines of 150 min per week is protective against chronic disease, and this is likely explained by higher energy expenditure (EE). In opposition, sedentary behavior (low EE) seems to impair health outcomes. There are gold standard methods to measure EE such as the doubly labeled water (DLW) or calorimetry. These methods are highly expensive and rely on complex techniques. Motion sensors present a good alternative to estimate EE and have been validated against these reference methods...
February 1, 2017: European Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28143964/development-validity-and-reliability-of-the-londrina-activities-of-daily-living-protocol-for-subjects-with-copd
#17
Thaís Sant' Anna, Leila Donária, Karina C Furlanetto, Fernanda Morakami, Antenor Rodrigues, Talita Grosskreutz, Nidia A Hernandes, Rik Gosselink, Fabio Pitta
BACKGROUND: To avoid symptoms, patients with COPD may reduce the amount of activities of daily living (ADL). Therefore, the aim of the present study was to develop a standardized protocol to evaluate ADL performance in subjects with COPD (Londrina ADL protocol) and to assess the validity and reliability of the protocol in this population. METHODS: The Londrina ADL protocol was created based on activities included in previous studies aimed at investigating outcomes from ADL...
January 31, 2017: Respiratory Care
https://www.readbyqxmd.com/read/28138532/printed-multifunctional-flexible-device-with-an-integrated-motion-sensor-for-health-care-monitoring
#18
Yuki Yamamoto, Shingo Harada, Daisuke Yamamoto, Wataru Honda, Takayuki Arie, Seiji Akita, Kuniharu Takei
Real-time health care monitoring may enable prediction and prevention of disease or improve treatment by diagnosing illnesses in the early stages. Wearable, comfortable, sensing devices are required to allow continuous monitoring of a person's health; other important considerations for this technology are device flexibility, low-cost components and processing, and multifunctionality. To address these criteria, we present a flexible, multifunctional printed health care sensor equipped with a three-axis acceleration sensor to monitor physical movement and motion...
November 2016: Science Advances
https://www.readbyqxmd.com/read/28135208/flexible-piezoelectric-nanogenerators-based-on-a-transferred-zno-nanorod-si-micro-pillar-array
#19
Seong-Ho Baek, Il-Kyu Park
Flexible piezoelectric nanogenerators (PNGs) based on a composite of ZnO nanorods (NRs) and an array of Si micro-pillars (MPs) are demonstrated by a transfer process. The flexible composite structure was fabricated by hydrothermal growth of ZnO NRs on an electrochemically etched Si MP array with various lengths followed by mechanically delaminating the Si MP arrays from the Si substrate after embedding them in a polydimethylsiloxane matrix. Because the Si MP arrays act as a supporter to connect the ZnO NRs electrically and mechanically, verified by capacitance measurement, the output voltage from the flexible PNGs increased systematically with the increased density ZnO NRs depending on the length of the Si MPs...
January 30, 2017: Nanotechnology
https://www.readbyqxmd.com/read/28102448/development-of-a-new-assessment-tool-for-cervical-myelopathy-using-hand-tracking-sensor-part-1-validity-and-reliability
#20
M Abdulhadi Alagha, Mahmoud A Alagha, Eleanor Dunstan, Olaf Sperwer, Kate A Timmins, Bronek M Boszczyk
PURPOSE: To assess the reliability and validity of a hand motion sensor, Leap Motion Controller (LMC), in the 15-s hand grip-and-release test, as compared against human inspection of an external digital camera recording. METHODS: Fifty healthy participants were asked to fully grip-and-release their dominant hand as rapidly as possible for two trials with a 10-min rest in-between, while wearing a non-metal wrist splint. Each test lasted for 15 s, and a digital camera was used to film the anterolateral side of the hand on the first test...
January 19, 2017: European Spine Journal
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