| 1. |
- Abbaspour, Sara, 1984-, et al.
(författare)
-
ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA
- 2015
-
Ingår i: Studies in Health Technology and Informatics, Volume 211. - 9781614995159 ; , s. 91-97
-
Konferensbidrag (refereegranskat)abstract
- This study aims at proposing an efficient method for automated electrocardiography (ECG) artifact removal from surface electromyography (EMG) signals recorded from upper trunk muscles. Wavelet transform is applied to the simulated data set of corrupted surface EMG signals to create multidimensional signal. Afterward, independent component analysis (ICA) is used to separate ECG artifact components from the original EMG signal. Components that correspond to the ECG artifact are then identified by an automated detection algorithm and are subsequently removed using a conventional high pass filter. Finally, the results of the proposed method are compared with wavelet transform, ICA, adaptive filter and empirical mode decomposition-ICA methods. The automated artifact removal method proposed in this study successfully removes the ECG artifacts from EMG signals with a signal to noise ratio value of 9.38 while keeping the distortion of original EMG to a minimum.
|
|
| 2. |
- Ahmed, Mobyen Uddin, et al.
(författare)
-
A Generic System-level Framework for Self-Serve Health Monitoring System through Internet of Things(IoT)
- 2015
-
Ingår i: Studies in Health Technology and Informatics, Volume 211. - 9781614995159 ; , s. 305-307
-
Konferensbidrag (refereegranskat)abstract
- Sensor data are traveling from sensors to a remote server, data is analysed remotely in a distributed manner, and health status of a user is presented in real-time. This paper presents a generic system-level framework for a self-served health monitoring system through the Internet of Things (IoT) to facilities an efficient sensor data management.
|
|
| 3. |
- Baig, M. M., et al.
(författare)
-
Advanced decision support system for older adults
- 2015
-
Ingår i: Studies in Health Technology and Informatics, vol. 211. - 9781614995159 ; , s. 235-240
-
Konferensbidrag (refereegranskat)abstract
- Decision support systems are rapidly becoming part of today's healthcare delivery. The paradigm has shifted from traditional and manual recording to computer-based electronic records and, further, to handheld devices as versatile and innovative healthcare monitoring systems. The current study focuses on interpreting multiple physical signs and early warning for hospitalized older adults so that severe consequences can be minimized. Data from a total of 30 patients have been collated in New Zealand Hospitals under local and national ethics approvals. The system records blood pressure, heart rate (pulse), oxygen saturation (SpO2), ear temperature and blood glucose levels from hospitalized patients and transfers this information to a web-based software application for remote monitoring and further interpretation. Ultimately, this system is aimed to achieve a high level of agreement with clinicians' interpretation when assessing specific physical signs such as bradycardia, tachycardia, hypertension, hypotension, hypoxemia, fever and hypothermia and to generate early warnings.
|
|
| 4. |
- Barua, Shaibal, et al.
(författare)
-
Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals
- 2015
-
Ingår i: Studies in Health Technology and Informatics, Volume 211. - 9781614995159 ; , s. 241-248
-
Konferensbidrag (refereegranskat)abstract
- Machine learning algorithms play an important role in computer science research. Recent advancement in sensor data collection in clinical sciences lead to a complex, heterogeneous data processing and analysis for patient diagnosis and prognosis. Diagnosis and treatment of patients based on manual analysis of these sensor data is difficult and time consuming. Therefore, development of Knowledge-based systems to support clinicians in decision-making is important. However, it is necessary to perform experimental work to compare performances of different machine learning methods to help to select appropriate method for a specific characteristic of data sets. This paper compares classification performance of three popular machine learning methods i.e., case-based reasoning, neutral networks and support vector machine to diagnose stress of vehicle drivers using finger temperature and heart rate variability. The experimental results show that case-based reasoning outperforms other two methods in terms of classification accuracy. Case-based reasoning has achieved 80% and 86% accuracy to classify stress using finger temperature and heart rate variability. On contrary, both neural network and support vector machine have achieved less than 80% accuracy by using both physiological signals.
|
|
| 5. |
- Du, Jiaying, et al.
(författare)
-
Noise reduction for a MEMS-gyroscope-based head mouse
- 2015
-
Ingår i: Studies in Health Technology and Informatics, Volume 211. - Västerås, Sweden : IOS Press. - 9781614995159 ; , s. 98-104
-
Konferensbidrag (refereegranskat)abstract
- In this paper, four different signal processing algorithms which can be applied to reduce the noise from a MEMS-gyroscope-based computer head mouse are presented. MEMS-gyroscopes are small, light, cheap and widely used in many electrical products. MultiPos, a MEMS-gyroscope-based computer head mouse system was designed for persons with movement disorders. Noise such as physiological tremor and electrical noise is a common problem for the MultiPos system. In this study four different signal processing algorithms were applied and evaluated by simulation in MATLAB and implementation in a dsPIC, with aim to minimize the noise in MultiPos. The algorithms were low-pass filter, Least Mean Square (LMS) algorithm, Kalman filter and Weighted Fourier Linear Combiner (WFLC) algorithm. Comparisons and system tests show that these signal processing algorithms can be used to improve the MultiPos system. The WFLC algorithm was found the best method for noise reduction in the application of a MEMS-gyroscope-based head mouse.
|
|
| 6. |
- Ehn, Maria, et al.
(författare)
-
Users perspectives on interactive distance technology enabling home-based motor training for stroke patients
- 2015
-
Ingår i: Stud. Health Technol. Informatics. - : IOS Press. - 9781614995159 ; , s. 145-152
-
Konferensbidrag (refereegranskat)abstract
- The aim of this work has been to develop a technical support enabling home-based motor training after stroke. The basis for the work plan has been to develop an interactive technical solution supporting three different groups of stroke patients: (1) patients with stroke discharged from hospital with support from neuro team; (2) patients with stroke whose support from neuro team will be phased out and (3) patients living with impaired motor functions long-term. The technology has been developed in close collaboration with end-users using a method earlier evaluated and described [12]. This paper describes the main functions of the developed technology. Further, results from early user-tests with end-users, performed to identify needs for improvements to be carried out during further technical development. The developed technology will be tested further in a pilot study of the safety and, usefulness of the technology when applied as a support for motor training in three different phases of the post-stroke rehabilitation process.
|
|
| 7. |
- Hidefjäll, Patrik, et al.
(författare)
-
Business model design for a wearable biofeedback system
- 2015
-
Ingår i: Stud. Health Technol. Informatics. - : IOS Press. - 9781614995159 ; , s. 213-224
-
Konferensbidrag (refereegranskat)abstract
- Wearable sensor technologies used to track daily activities have become successful in the consumer market. In order for wearable sensor technology to offer added value in the more challenging areas of stress-rehab care and occupational health stress-related biofeedback parameters need to be monitored and more elaborate business models are needed. To identify probable success factors for a wearable biofeedback system (Affective Health) in the two mentioned market segments in a Swedish setting, we conducted literature studies and interviews with relevant representatives. Data were collected and used first to describe the two market segments and then to define likely feasible business model designs, according to the Business Model Canvas framework. Needs of stakeholders were identified as inputs to business model design. Value propositions, a key building block of a business model, were defined for each segment. The value proposition for occupational health was defined as "A tool that can both identify employees at risk of stress-related disorders and reinforce healthy sustainable behavior" and for healthcare as: "Providing therapists with objective data about the patient's emotional state and motivating patients to better engage in the treatment process". © 2015 The authors and IOS Press. All rights reserved.
|
|
| 8. |
- Lindborg, Ann-Louise, 1979-, et al.
(författare)
-
Development of an eating aid - From the user needs to a product
- 2015
-
Ingår i: Studies in Health Technology and Informatics, vol. 211. - 9781614995159 ; , s. 191-198
-
Konferensbidrag (refereegranskat)abstract
- In this paper, the development process of an eating aid is described. The assistive devices must be worth using. To achieve this, the starting point has been the users need. The development started from the needs of an individual person, the inventor of the aid. The development has been about increasing the positive experience of the aid and decrease negative experience through an iterative development process. The development includes several evaluations, described in the paper, and as a conclusion, it is important to include the users throughout the development process.
|
|
| 9. |
- Lum, KinYun, et al.
(författare)
-
Impedance matching wireless power transmission system for biomedical devices
- 2015
-
Ingår i: Studies in Health Technology and Informatics, vol 211. - 9781614995159 ; , s. 225-232
-
Konferensbidrag (refereegranskat)abstract
- For medical application, the efficiency and transmission distance of the wireless power transfer (WPT) are always the main concern. Research has been showing that the impedance matching is one of the critical factors for dealing with the problem. However, there is not much work performed taking both the source and load sides into consideration. Both sides matching is crucial in achieving an optimum overall performance, and the present work proposes a circuit model analysis for design and implementation. The proposed technique was validated against experiment and software simulation. Result was showing an improvement in transmission distance up to 6 times, and efficiency at this transmission distance had been improved up to 7 times as compared to the impedance mismatch system. The system had demonstrated a near-constant transfer efficiency for an operating range of 2cm-12cm.
|
|
| 10. |
- Tomasic, Ivan, et al.
(författare)
-
Smart wireless sensor for physiological monitoring
- 2015
-
Ingår i: Studies in Health Technology and Informatics, vol. 211. - 9781614995159 ; , s. 295-301
-
Konferensbidrag (refereegranskat)abstract
- Presented is a wireless body sensor capable of measuring local potential differences on a body surface. By using on-sensor signal processing capabilities, and developed algorithms for off-line signal processing on a personal computing device, it is possible to record single channel ECG, heart rate, breathing rate, EMG, and when three sensors are applied, even the 12-lead ECG. The sensor is portable, unobtrusive, and suitable for both inpatient and outpatient monitoring. The paper presents the sensor's hardware and results of power consumption analysis. The sensor's capabilities of recording various physiological parameters are also presented and illustrated. The paper concludes with envisioned sensor's future developments and prospects.
|
|
| 11. |
- Åkerberg, Anna, et al.
(författare)
-
Heart rate measurement as a tool to quantify sedentary behavior
- 2015
-
Ingår i: Studies in Health Technology and Informatics, vol. 211. - 9781614995159 ; , s. 105-110
-
Konferensbidrag (refereegranskat)abstract
- Sedentary work is very common today. The aim of this pilot study was to attempt to differentiate between typical work situations and to investigate the possibility to break sedentary behavior, based on physiological measurement among office workers. Ten test persons used one heart rate based activity monitor (Linkura), one pulse oximeter device (Wrist) and one movement based activity wristband (Fitbit Flex), in different working situations. The results showed that both heart rate devices, Linkura and Wrist, were able to detect differences in heart rate between the different working situations (resting, sitting, standing, slow walk and medium fast walk). The movement based device, Fitbit Flex, was only able to separate differences in steps between slow walk and medium fast walk. It can be concluded that heart rate measurement is a promising tool for quantifying and separating different working situations, such as sitting, standing and walking.
|
|
| 12. |
- Ödman, Torbjörn, et al.
(författare)
-
A study of different fabrics to increase radar cross section of humans
- 2015
-
Ingår i: Stud. Health Technol. Informatics. - : IOS Press. - 9781614995159 ; 211, s. 201-206
-
Konferensbidrag (refereegranskat)abstract
- This purpose of the study was to increase the visibility on radar for unprotected pedestrians with the aid of conducting fabric. The experiment comprised measurements of four types of fabric to determine the radio frequency properties, such as radar cross section (RCS) for the vehicle radar frequency 77 GHz and transmission (shielding) in the frequency range 3-18 GHz. Two different thicknesses of polypyrrole (PPy) nonvowen fabric were tested and one thickness for 30 % and 40 % stainless steel fabrics respectively. A jacket with the thinner nonvowen material and one with 40 % steel were tested and compared to an unmodified jacket in the RCS measurement. The measurement showed an increase in RCS of 4 dB for the jacket with the 40 % steel lining compared to the unmodified jacket. The transmission measurement was aimed at determining the fabric with the highest transmission of an incoming radio wave. The 30 % steel fabric and the two thicknesses of the nonvowen fabrics were tested. One practical application is for example the use of radar reflective material in search and rescue (SAR) clothes. The study showed that the 30 % steel fabric was the best candidate for further RCS measurements. © 2015 The authors and IOS Press. All rights reserved.
|
|
