Congestion-aware, loss-resilient bio-monitoring sensor networking for mobile health applications

IEEE Journal on Selected Areas in Communications

Volumn 27, Issue 4, 2009, Pages 450-465

  Hu, Fei ^a,b   Xiao, Yang ^a,c   Hao, Qi ^a,b  

^a UNIVERSITY OF ALABAMA   (United States)

^b The Aerospace Engineering and Mechanics Department   (United States)

^c Dept of Computer Science ^*  (United States)

Author keywords

Mobile health (m health), sensor networks, network congestion, particle filtering, wavelets

Indexed keywords

ALTERNATIVE APPROACH; ANALOG SIGNALS; BATTERY OPERATION; BIOMONITORING; BIOSIGNAL; BRAIN SIGNALS; CONGESTION-AWARE; ELECTROMYOGRAM; HEALTH CONDITION; HEART ATTACK; HEART BEATS; HEAVY TRAFFICS; HIGH BLOOD PRESSURES; HOT SPOT; INTEGRATED WIRELESS SENSOR; INTERFACE CHIPS; LOSS PREDICTION; LOW MEMORY; MEDICAL SENSORS; MENTAL DISORDERS; MHEALTH; MOBILE HEALTH APPLICATION; MOBILE-HEALTH (M-HEALTH), SENSOR NETWORKS, NETWORK CONGESTION, PARTICLE FILTERING, WAVELETS; MONITORING APPLICATIONS; NETWORK CONGESTION REDUCTION; NETWORK CONGESTIONS; NETWORK LOSS; NETWORKED EMBEDDED SYSTEMS; NURSING HOMES; RADIO FREQUENCIES; RECOVERY RATE; SENSOR DATA; SIGNAL PARAMETERS; SIGNIFICANT IMPACTS; SOFTWARE PLATFORMS; TRANSMISSION LOSS; WIRELESS LOSS; WIRELESS NETWORKING;

ACOUSTIC SIGNAL PROCESSING; BLOOD PRESSURE; COMPUTER SYSTEM RECOVERY; EMBEDDED SOFTWARE; EMBEDDED SYSTEMS; FEATURE EXTRACTION; HEALTH; NONLINEAR FILTERING; PATIENT MONITORING; RADIO FREQUENCY IDENTIFICATION (RFID); RADIO WAVES; SENSOR NETWORKS; SIGNAL PROCESSING; SYSTEMS ANALYSIS; TRAFFIC CONGESTION; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 67349280853     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2009.090509     Document Type: Article

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