Wireless Sensor Networks for Home Health Care
Summary (1 min read)
Introduction
- Various economic and technological factors (e.g. Moore’s Law) have brought sophisticated electronics within the reach of average users.
- One important benefit is to help stem rising health care costs by increasing health observability and doctor-topatient efficiency.
- More specifically, this paper will discuss several of these projects, highlighting their need, design, implementation, and results.
- Demonstrate working prototypes with relatively simple technology which make incremental, but important, steps to toward ubiquitous deployment of health monitoring devices, as well as how they may be integrated into existing infrastructures.
II. TECHNOLOGIES
- The authors prototypes use two similar sensor network mote technologies: Tmote Sky and SHIMMER.
- The Tmote Sky is the latest derivative of the Berkeley Telos motes from Moteiv Corp. [1].
- The other mote is Intel’s Digital Health Group’s platform for Sensing Health with Intelligence, Modularity, Mobility, and Experimental Re-usability, or SHIMMER.
- Both are nearly identical with respect to processing and communication; each have the Chipcon CC2420 802.15.4 radio and TI MSP430 (with 10k RAM).
III. PROTOTYPES
- The authors have developed several prototypes which demonstrate wireless sensor network technologies for heath care at home.
- Each of these prototypes will be discussed in the following sections.
E. LISTSENse
- If people with a severe hearing impairment are included with those who are deaf, then the number is 4 to 10 times higher.
- At least half of these people reported their hearing loss after 64 years of age [9].
- The deployment of mote technology further reduces the cost of their prototype.
- Once the measured signal surpasses the reference value, an encrypted activation message is sent to the Base Station that incorporates the Transmitter address.
- Figures 5(b) and 5(c) shows the manufactured Base Station and Transmitter prototype that were successfully tested and evaluated.
IV. DISCUSSION
- Sophisticated, low-power, cheap, small, and mobile electronics will continue to permeate the home environment for a variety of applications, ranging from multi-media entertainment to home automation.
- Therefore, this figure shows that hospital costs will rise sharply and health-care at home is one way of alleviating this problem.
- Several technologies will be important to this evolution: sensor networks, RFID, and mobile consumer electronics.
- Software may be deployed on these devices to remind patients of their responsibilities (e.g. taking their pills and how much to take) and performing real-time analysis of patient data, given parameters set by their physician.
V. CONCLUSION
- Falling electronics prices and their increasing power, coupled with sensing technologies, promise to make health monitoring in one’s home, rather than frequent trips to the hospital, a reality.
- These prototypes represent incremental, but important steps towards ubiquitous deployment of health monitoring devices for the betterment of human lives.
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Citations
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Cites background from "Wireless Sensor Networks for Home H..."
...emergencyresponse [8], assisted-living and geriatric rehabilitation [9], respiratory and chronic heart failure [10], diabetes and obesity [11] and Sudden Infant Death Syndrome [12])....
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26 citations
24 citations
Cites methods from "Wireless Sensor Networks for Home H..."
...…battery IEEE 802.15.4 based BSN + 802.11b + Central Database Ad Hoc based data transmission via IEEE 802.11b or GPRS AES encrypted scheme SleepSafe (Baker et al., 2007) HCare Infants 3-axis accelerometer AA battery Wired BSN+IEEE 802.15.4 based HSN + Central Database Ad Hoc based data…...
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...SleepSafe is developed to avoid the Sudden Infant Death Syndrome (SIDS)....
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...Baker et al. (2007) introduced 4 WSN-based novel applications for home healthcare: SleepSafe, Baby Glove, Heart@Home and Fireline....
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...Lifeguard (Montgomery et al., 2004) Hcare, PCare Elder/patient Heart rate, ECG, blood pressure Battery Wired BSN + Bluetooth based HSN + Central database Point to point based data transmission Mobihealth (Aart et al., 2004) Hcare, PCare Elder/patient Heart rate, SpO2, blood pressure AA battery Wired BSN + Bluetooth based HSN + GSM + Central database Point to point data transmission via GSM/GPRS MCSAM (Lee et al., 2007) Hcare Chronic patient Temperature heart rate, ECG, SpO2 Battery Bluetooth based BSN + GSM/GPRS + Central Database Point to point data transmission via GSM/GPRS RTWPMS (Lin et al., 2006a) HCare Patient/elders Blood pressure, temperature, heart rate AA battery Wired BSN + HSN + GSM + Central Database Point to point data transmission via self defined wireless protocols (864 MHz) PAN4WPM (Monton et al., 2008) HCare Patient EEC, ECG, EMG, EOG AA battery IEEE 802.15.4 based BSN + 802.11b + Central Database Ad Hoc based data transmission via IEEE 802.11b or GPRS AES encrypted scheme SleepSafe (Baker et al., 2007) HCare Infants 3-axis accelerometer AA battery Wired BSN+IEEE 802.15.4 based HSN + Central Database Ad Hoc based data transmission RFIDHealth (Ho et al., 2005) HCare Patient – – UHF RFID + 802.15.4 based HSN + Central Database Ad Hoc based data transmission RFID based localisation WHCSS4ED (Lin et al., 2006b) Hcare, PCare Elder Dementia – – RFID + GSM/WLAN + Central Database Point to point data transmission via public communication networks RFID based localisation UbiMon (Ng et al., 2006) HCare Patient ECG, SpO2, blood pressure, etc. Battery IEEE 802.15.4 based BSN + GSM/GPRS + Central Database Ad Hoc based data transmission via GSM/GPRS Support access authentication SeoSys (Seo et al., 2007) HCare Patient Heart rate, ECG, pressure, temperature, etc. AA battery Wired BSN + IEEE 802.15.4 based HSN + GSM/WLAN + Central Database Ad Hoc based data transmission via public communication networks using AODV...
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21 citations
21 citations