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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 study considers the situation where computational loads are transferred to edge devices and single edge device is not enough. The co-operative sensing, analysis and transmission between several edge nodes helps in enhancing scalability in Fog computing frameworks. The present study uses the positive case of malaria vector borne disease affected information from 2001-2014 of Maharashtra state,...
Heart rate (HR) and electrodermal activity (EDA) are often used as physiological measures of psychological arousal in various neuropsychology experiments. In this exploratory study, we analyze HR and EDA data collected from four participants, each with a history of suicidal tendencies, during a cognitive task known as the Paced Auditory Serial Addition Test (PASAT). A central aim of this investigation...
Optical brain monitoring using near infrared (NIR) light has got a lot of attention in order to study the complexity of the brain due to several advantages as oppose to other methods such as EEG, fMRI and PET. There are a few commercially available functional NIR spectroscopy (fNIRS) brain monitoring systems, but they are still non-wearable and pose difficulties in scanning the brain while the participants...
This paper presents a novel BigEAR big data framework that employs psychological audio processing chain (PAPC) to process smartphone-based acoustic big data collected when the user performs social conversations in naturalistic scenarios. The overarching goal of BigEAR is to identify moods of the wearer from various activities such as laughing, singing, crying, arguing, and sighing. These annotations...
There is an increasing demand for smart fog-computing gateways as the size of cloud data is growing. This paper presents a Fog computing interface (FIT) for processing clinical speech data. FIT builds upon our previous work on EchoWear, a wearable technology that validated the use of smartwatches for collecting clinical speech data from patients with Parkinson's disease (PD). The fog interface is...
Suicide, considered as one of the leading causes of death, has not been given enough attention in order to reduce it's rate. The problem addressed in this paper is the analysis of the relation between an extra stimulus and physiological data's responses. In order to record the physiological data set from multiple subjects over many weeks, we used an acoustic startle during a Paced Auditory Serial...
Copious amounts of people around the globe currently suffer from ailments in moving, which range from neurodegenerative diseases to colossal accidents. In this study, oxygenated hemoglobin of the brain is monitored using a functional near infrared spectroscopy coupled with a smart watch to detect kinetic activity. It was seen that as participants flipped their left or right hands, at different speeds,...
The obstructive sleep apnea (OSA) is one of the most important sleep disorders characterized by obstruction of the respiratory tract and cessation in respiratory flow level. Currently, apnea diagnosis is mainly based on the Polysomnography (PSG) testing during sleeping hours, however, recording the entire signals during nights is a very costly, time-consuming and difficult task. The goal of this study...
When using the available m-health systems, ECG data for a small duration is recorded and sent to a server for processing and arrhythmia detection. Since arrhythmia occurrence is not so frequent in early stages, a need is felt to develop a real time and continuous arrhythmia monitoring system on the phone itself. This paper provides a novel approach to detect QRS complexes from a high fidelity ECG...
Speech-language pathologists (SLPs) frequently use vocal exercises in the treatment of patients with speech disorders. Patients receive treatment in a clinical setting and need to practice outside of the clinical setting to generalize speech goals to functional communication. In this paper, we describe the development of technology that captures mixed speech signals in a group setting and allows the...
In this work we used multimodal, non-invasive brain signal recording systems, namely Near Infrared Spectroscopy (NIRS), disc electrode electroencephalography (EEG) and tripolar concentric ring electrodes (TCRE) electroencephalography (tEEG). 7 healthy subjects participated in our experiments to control a 2-D Brain Computer Interface (BCI). Four motor imagery task were performed, imagery motion of...
The concurrent popularity of wearable sensors and Internet-of-Things (IoT) brings significant benefits to body sensor networks (BSN) that could communicate with the cloud computing platforms for bringing interoperability in health and wellness monitoring. We designed Pulse-Glasses that are cloud-connected, wearable, smart eyeglasses for unobtrusive and continuous heart rate (HR) monitoring. We 3D-printed...
When it comes to academic signal processing, students' experiences are sometimes spoilt by the dry nature of the topic, applying only mathematical methods. We propose in the following a more hands-on method to acquire signal processing experiences by utilizing state-of-the-art Digital Signal Processor hardware for biomedical engineering related tasks. In order to circumvent hindering setup problems...
Movement disorders such as Parkinson's disease, ADHD, essential tremor disorder and restless leg syndrome can be difficult to treat due to the complexity of monitoring medication efficacy. Using our multi-sensory system for monitoring dyskinesia disorders, physicians can get insight into the everyday symptoms of their patients. The system we have designed includes an intelligent wristband that has...
Wearable devices like smartwatches are becoming an accepted way to monitor a person's health stats such a heartrate and physical activity. This paper will explain how to develop a do-it-yourself (DIY), smart wristband to perform photoplethysmography (PPG), also known as pulse oximetry. The designed Pulseband acquires PPG signals and estimates heart rate (HR) in real-time. HR estimates can be transmitted...
The proliferation of mobile devices, ubiquitous internet, and cloud computing has sparked a new era of Internet of Things (IoT), thus allowing researchers to create application-specific solutions based on the interconnection between physical objects and the internet. Recently, wearable devices are rapidly emerging and forming a new segment-“Wearable IoT (WIoT)” due to their capability of sensing,...
Mobile phones are a ubiquitous and preferred communication, entertainment, and information access platform. Smartphones may provide an opportunity to better assess mood and behavior and to provide intervention timely, economical, rapid and effective intervention for those with mental disorders. This is an important target because behavioral health problems are associated with many of the medical disorders...
The ever-increasing popularity of online stores is reshaping traditional commerce models. In particular, brick-and-mortar stores are presently facing the challenge of reinventing themselves and their business models to offer attractive yet low-cost alternatives to e-commerce. Other industries have already introduced new concepts to fight inefficiency (i.e., “Just-in-Time” inventory management in Automotive),...
There is no consolidated, integral, quantifiable, granular, updated source of information for the roads we traverse and the environment we live in everyday. This leads to ambiguity about road conditions, which is tolerable during normal conditions but extremely problematic in adverse conditions such as snow blockages, water-logging due to storms, degraded roads and potholes. Without such knowledge,...
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