Title :
A versatile biomedical wireless sensor node with novel drysurface sensors and energy efficient power management
Author :
Magno, M. ; Benini, Luca ; Gaggero, L. ; La Torre Aro, J.P. ; Popovici, Emanuel
Author_Institution :
Dipt. Elettr. e, dell´Inf. (DEI), Univ. di Bologna, Bologna, Italy
Abstract :
Technology advancements of sensors, low power mixed-signal/RF circuits, and Wireless Sensor Networks (WSNs) made it possible to construct compact and low cost solutions for a wide range of applications such as healthcare, surveillance, building monitoring, sports and fitness, etc. A new emerging generation of WSN is the Body Sensor Network which is suitable to monitor of the human body, mainly for health care applications but also for sports and fitness. Due to the growing interest in this area, novel sensors for monitoring bio-electric signals like ECG, EMG, EOG and EEG are being developed. In this paper we present a low-power designed body sensor networks (BSN) platform for on-body physiological measurements and wireless data communications. The BSN node is capable of hosting high sensitivity electric potential dry surface sensors that can be used in either contact or non-contact mode to measure ECG and EMG signals. The wireless connectivity is provided from a Bluetooth module to be connected to a PC or Smartphone and an 802.15.4 transceiver. Moreover as the platform is designed with low power in mind it incorporates adaptive power modes and an ultra-low power wake up radio to switch off/on the sensors and the radio transceivers in order to save energy. Experimental measurements show the acquisition of the novel sensors and the low power management consumption achievable with the node in different modalities. The power consumption in deep sleep is only 1.8uW. Thus, due to the presence of the novel sensors, the low power consumption and the wireless connectivity, the BSN platform will greatly facilitate the research and development activities for pervasive healthcare, telemedicine, wearable medical devices and other emerging biomedical engineering fields.
Keywords :
Bluetooth; Zigbee; biomedical telemetry; biomedical transducers; body sensor networks; electrocardiography; electromyography; energy conservation; energy management systems; health care; medical signal processing; microcomputers; power consumption; radio transceivers; smart phones; telemedicine; BSN; Bluetooth module; ECG; EEG; EMG; EOG; IEEE 802.15.4 transceiver; PC; WSN; adaptive power mode; bioelectric signal monitoring; biomedical engineering field; biomedical wireless sensor Network; body sensor network; building monitoring; energy efficient power management consumption; energy saving; fitness; high sensitivity electric potential dry surface sensors; human body monitoring; low power mixed-signal-RF circuit; on-body physiological measurement; pervasive healthcare; power 1.8 muW; radio transceiver; signal measurement; smartphone; sport; surveillance; telemedicine; ultralow power wake up radio; wearable medical device; wireless data communication; Bluetooth; Electrocardiography; Electromyography; Microcontrollers; Power demand; Wireless communication; Wireless sensor networks; Body Sensor Network; ECG; EMG; energy efficent wireless node; health care Dry Surface sensors; wake up radio;
Conference_Titel :
Advances in Sensors and Interfaces (IWASI), 2013 5th IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4799-0039-8
DOI :
10.1109/IWASI.2013.6576060