Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults
2014 doctoral thesis by Mirza Mansoor Baig at Auckland University of Technology
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Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults
Summary
Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults is a doctoral thesis[1].
Key Facts
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults authored Mirza Mansoor Baig[2].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's instance of is recorded as doctoral thesis[3].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's publisher is recorded as Tuwhera Open Access Publisher[4].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's language of work or name is recorded as English[5].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's country of origin is recorded as New Zealand[6].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's publication date is recorded as +2014-00-00T00:00:00Z[7].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's Handle ID is recorded as 10292/7720[8].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's title is recorded as Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults[9].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's copyright holder is recorded as Mirza Mansoor Baig[10].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's thesis submitted to is recorded as Auckland University of Technology[11].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's copyright status is recorded as copyrighted[13].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's thesis committee member is recorded as Hamid Gholamhosseini[14].
- Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's thesis committee member is recorded as Martin Connolly[15].
Body
Designation and Status
Smart Vital Signs Monitoring and Novel Falls Prediction System for older adults's instance of is recorded as doctoral thesis[3].