Browsing by Author "Massey, Tammara"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- ItemExperimental analysis of a mobile health system for mood disorders.(2010-07-27) Massey, Tammara; Marfia, Gustavo; Potkonjak, Miodrag; Sarrafzadeh, MajidDepression is one of the leading causes of disability Methods are needed to quantitatively classify emotions in order to better understand and treat mood disorders This research proposes techniques to improve communication in body sensor network BSN that gathers data on the affective states of the patient These BSNs can continuously monitor discretely quantify and classify a patient s depressive states In addition data on the patient s lifestyle can be correlated with his her physiological conditions to identify how various stimuli trigger symptoms This continuous stream of data is an improvement over a snapshot of localized symptoms that a doctor often collects during a medical examination Our research first quantifies how the body interferes with communication in a BSN and detects a pattern between the line of sight of an embedded device and its reception rate Then a mathematical model of the data using linear programming techniques determines the optimal placement and number of sensors in a BSN to improve communication Experimental results show that the optimal placement of embedded devices can reduce power cost up to 27 and reduce hardware costs up to 47 This research brings researchers a step closer to continuous real time systemic monitoring that will allow one to analyze the dynamic human physiology and understand diagnosis and treat mood disorders
- ItemLeveraging social system networks in ubiquitous high-data-rate health systems.(2011-05-03) Massey, Tammara; Marfia, Gustavo; Stoelting, Adam; Tomasi, Riccardo; Spirito, Maurizio A; Sarrafzadeh, Majid; Pau, GiovanniSocial system networks with high data rates and limited storage will discard data if the system cannot connect and upload the data to a central server We address the challenge of limited storage capacity in mobile health systems during network partitions with a heuristic that achieves efficiency in storage capacity by modifying the granularity of the medical data during long intercontact periods Patterns in the connectivity reception rate distance and location are extracted from the social system network and leveraged in the global algorithm and online heuristic In the global algorithm the stochastic nature of the data is modeled with maximum likelihood estimation based on the distribution of the reception rates In the online heuristic the correlation between system position and the reception rate is combined with patterns in human mobility to estimate the intracontact and intercontact time The online heuristic performs well with a low data loss of 2 1 6 1
- ItemMobile Health Systems that Optimize Resources in Emergency Response Situations.(2011-02-24) Massey, Tammara; Gao, TiaDuring mass casualty incidents a large number of patients need to be triaged accurately in order to save the maximum number of lives Recently portable health systems have been developed that can gather patient s vital signs and wireless transmit this information to a central location for analysis This research introduces a methodology to improve triage in mass casualty incidents by combining statistical optimization techniques with mobile health systems to manage resources using evidence based data We combine data collected during a field test with data of patient s vital signs to simulate how mobile health systems can optimize resources in emergency response situations