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Wearable sensors enable long-term continuous physiological monitoring, which is important for the treatment and management of many chronic illnesses, neurological disorders, and mental health issues. Examples include: diabetes, autism spectrum disorder (ASD), depression, drug addition, and anxiety disorders. In this paper, we present a few mobile health technologies developed by our group and also...
The three main influence factors on the interface between textile electrode an skin are: temperature, contact pressure and relative humidity. This paper presents first results of a prototype, which measures these local measurement conditions around textile electrodes. The wearable prototype is a data acquisition system based on a microcontroller with a flexible sensor sleeve. Validation measurements...
Disrupted sleep patterns are a significant problem in the elderly, leading to increased cognitive dysfunction and risk of nursing home placement. A cost-effective and unobtrusive way to remotely monitor changing sleep patterns over time would enable improved management of this important health problem. We have developed an algorithm to derive sleep parameters such as bed time, rise time, sleep latency,...
Three emerging Wearable Body Sensor Networks (WBSN) using patch type sensors are examined and compared. Unique WBSN environment issues and techniques to overcome those issues are presented for continuous healthcare applications. The first is the battery powered RF patch sensor WBSN (Type 1); it maximizes user-convenience and is suitable for short-term healthcare. The second is the wirelessly powered...
Two novel wireless fabric patch sensors are introduced for low energy wearable healthcare. The first is a wirelessly powered patch sensor that can be attached to a patient to capture electrocardiogram (ECG) while consuming only 12μW. By using fabric circuit board technology, the band-aid like sensor is implemented. The second wearable cardiac heathcare sensor, fabricated in the form of 4-layer compact...
Rising healthcare for elder and disabled people can be controlled by offering people autonomy at home by means of information technology. In this paper, we present an original and sensorless alert management solution which performs multimedia and home automation service discrimination and extracts highly regular home activities as sensors for alert management. The results of simulation data, based...
In development countries the vital signs data measurement normally is performed at hospitals or laboratories where patients remain under observation with many electrodes attached on the body. The integration of biomedical data acquisition systems and information technologies (IT) enables continuous real time monitoring of physiological data in daily life, which improves patient's medical care and...
Recording a personal life log (PLL) of daily activities is an emerging technology for u-lifecare and e-health services. In this paper, we present an accelerometer-based personal life log system capable of human activity classification and exercise information generation. In our system, we use a tri-axial accelerometer and a real-time activity recognition scheme in which a set of augmented features...
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