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This article introduces the design of healthcare road map/forum for healthcare professionals, medical device manufacturers, pharmaceutical companies and average people working together to modernize healthcare based on the modern IT technologies such as cloud computing technologies, elastic search and big data. The software platform allows healthcare professionals, medical device manufacturers, pharmaceutical...
Bathing is an important part of daily activities for people of all ages. However, existing shower systems designed for healthy adults can be a challenge for elder adults with limitations or people in wheelchairs. We propose an adaptive assistive smart shower system, which is capable of detecting the user's abilities and disabilities, and then provides the necessary aids automatically. The shower system...
Monitoring motor function of patients with Parkinson's disease (PD) over long periods of time is essential in order to improve symptom management and avoid complications. Wearable technologies can be useful in this context as long as they do not unnecessarily increase patient and caregiver burden. The goal of the current study was to identify whether using more wearable sensors improved the estimation...
We explore a quantitative assessment for a Microsoft Kinect-based stroke rehabilitation virtual reality (VR) video game, Mystic Isle, by evaluating three assessment metrics of player hand movement– maximum range (extension), peak velocity and mean velocity. We also analyze the left-right hand symmetry by visualizing trajectories of both hands throughout the game. Assessment metrics obtained by the...
Reliable occluded skeletal posture estimation is a fundamentally challenging problem for vision-based monitoring techniques. This is due to several imaging related challenges introduced by existing depth-based pose estimation techniques that fail to provide accurate joint position estimates when the line of sight between the imaging device and the patient is obscured by an occluding material. In this...
In-home IoT devices play a major role in healthcare systems as smart personal assistants. They usually come with a voice-enabled feature to add an extra level of usability and convenience to elderly, disabled people, and patients. In this paper, we propose an efficient and privacy-preserving voice-based search scheme to enhance the efficiency and the privacy of in-home healthcare applications. We...
DAVE is a comprehensive set of event detection techniques to monitor and detect 5 important verbal agitations: asking for help, verbal sexual advances, questions, cursing, and talking with repetitive sentences. The novelty of DAVE includes combining acoustic signal processing with three different text mining paradigms to detect verbal events (asking for help, verbal sexual advances, and questions)...
Gesture recognition derived from skeletal data plays an important role in our TaiChi rehabilitation training and evaluation system. This paper investigates an extended-Kalman-filter-based preprocessing method to fix those incomplete and inconsistent kinematic sensory data. To evaluate the performance of preprocessing, several representative classifiers such as support-vector-machine (SVM), decision...
In this paper, we present the design of a wearable photoplethysmography (PPG) system, R-band for acquiring the PPG signals. PPG signals are influenced by the respiration or breathing process and hence can be used for estimation of respiration rate. R-Band detects the PPG signal that is routed to a Bluetooth low energy device such as a nearbyplaced smartphone via microprocessor. Further, we developed...
This paper presents a button-like wearable wireless non-contact system (NCMB-Button) for long-term multiple biopotential monitoring. Featured non-contact detection based on ultra-high input impedance of the analog front end, the NCMB-Button is capable of acquiring multiple biopotential signals including ECG, EMG, and EEG, through multiple layers of cloth without directly contacting human skin. The...
Identifying fall risk can prevent injuries in the elderly as well as reduce the related financial burden. A balance assessment, Timed Up and Go (TUG), has been widely applied to estimate fall risk. However, the standardized TUG usually excludes complex factors (e.g. slopes and obstacles) falling short of representing challenges in environments that many older adults navigate. Having information on...
Tongue has been proved to be effective in substituting human sensory system. Tongue supported human-computer interaction can help people with motor disability to operate assistive devices and computers. Previous research and applications focus on implementing such an interface by using mechanical or electromagnetic hardware which raises safety issues and hygiene concerns. This paper presents the process...
Mobile computing devices facilitate our daily lives, however, overuse of such may cause visual discomfort or even injure our eyes. Thus, personal visual health management is very important. Current eye fatigue examination methods include the critical flicker fusion test and Heuer's 10-point scale questionnaire. However, the flicker fusion system is too heavy and too expensive for general use by average...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Chest radiography (chest X-ray) is a low-cost yet effective and widely used medical imaging procedures. The lacking of qualified radiologist seriously limits the applicability of the technique. We explore the possibility of designing a computer-aided diagnosis for chest X-rays using deep convolutional neural networks. Using a real-world dataset of 16,000 chest X-rays with natural language diagnosis...
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