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Portable personal RFID databases
   for AAL-enabled healthcare
          environments.
   Ignacio Díaz-de-Sarralde, Diego López-de-
      Ipiña, Xabier Laiseca, Sergio Blanco
      DeustoTech – Deusto Institute of Technology



         Avda. Universidades 24, 48007, Bilbao, SPAIN
   {isarralde,dipina,xabier.laiseca,sergio.blanco}@deusto.es


                               1
Contents
•   Introduction
•   Objectives
•   Related Work
•   An NFC-supported platform:
•   RFID tags as portable databases
•   Relaying care data in the real-time web world
•   Conclusion
•   Further questions




                          2
Introduction
•   Technology:
    – RFID is mainly used as a low-cost solution to uniquely identify objects.
        •   RFID tags encode a URI from where an object’s data can be accessed and operated
            (Data-on-network approach)
        •   However, passive HF RFID tags allow significant data storage (up to 4K), enabling
            immediate access to the desired object’s metadata.
•   Domain:
    – AAL aims to increase our quality of life and autonomy and to reduce
      the need for being institutionalised or aiding it when it happens
    – Healthcare and Elderly care centres are challenging environments
      from the data gathering and publishing perspective.
•   Solution:
    – A hybrid approach where a data on tag approach is used in order to
      gather lifelogs of residents, occasionally contacting a back-end in order
      to synchronize or enrich said stored data.



                                             3
Objectives
• This work has a two-fold objective:
  1. Experimental: Evaluate how much data can
     actually be stored in HF RFID tags
  2. Practical: Combine the RFID data-on-tag
     approach with NFC to improve data
     management in a healthcare centre,
     where:
    • RFID tags can serve as temporary repositories of care
      events
    • Interactions between residents’ RFID wristbands and
      staff’s NFC mobiles can improve care data
      management and keep relatives up-to-date

                           4
Related Work
• NFC technology operating on 13.56MHz combines the
  functionality of a RFID reader device and a RFID
  transponder into one integrated circuit
   – NFC read/write mode allows NFC devices to access data from
     an object with an embedded RFID tag
• The combination of NFC technology and RFID tags has
  been used in the last few years in several research
  projects related to medicine and caretaking
   – However, so far RFID applications have not incorporated
     custom data directly onto RFID tags
• Still prevails a generic lack of standardization, only
  alleviated by initiatives such as the Continua Health
  Alliance

                                 5
A Platform to Enhance Care
           Data Management
• Caretaking is a suitable domain for combining NFC
  technology and the RFID data-on-tag approach in
  order to enhance the data gathering process
   – The ill and elderly people are looked after at different
     domains (patient’s homes or their families’, residences,
     hospitals) and by different people (relatives or staff),
     making very difficult to reconcile the information
     gathered
• Some issues:
   – Residents do not always stay and sleep at the same
     place
   – Data capture is not highly prioritised
   – IT support at care centres and family homes is diverse


                               6
Features
• Supports caretaker on structured patient data
  recollection and storage
• Allows collected data to be used efficiently
  – By enabling easy and clean data writing and
    reading of RFID tags with NFC phones
  – By relying patient activity to relatives via external
    services
• Research novel RFID applications in daily use
  – Uses HF RFID tags as embeddable and portable DBs
  – Proposes optimal data encoding and compression

                           7
RFID Tags as Portable
               Databases
•   The NFC Forum specifies a data-
    packaging format called NDEF (NFC
    Data Exchange Format) to exchange
    information between an NFC device
    and another NFC device or an NFC tag
•   Evaluation of HF RFID tags as tools to
    store data:
    1.   Select a set of easily wearable
         tags (ISO 15693-compatible) with
         as much storage capacity as
         possible and still compatible with
         NFC
    2.   Identify the maximum number of
         useful bytes storable in the selected
         tags
    3.   Develop a new efficient mechanism to
         store data on HF RFID tags

                                      8
Storage Capabilities of a 4K
            Mifare Watch
                                  Mifare 4K Watch
                                                                    Actual bytes
                      Number of stored       Average writing   written (record ID of
Record Size (bytes)      records              time (ms)               4 bytes)
        1                   372                     8081                1860
        2                   335                     7724               2010
        4                   279                     7259               2232
        8                   209                     6846               2508
        16                  139                     6520               2780
        32                  83                      6283               2988
        64                  46                      6252               3128
       128                  24                      6093               3168
       3196                  1                      6214               3200



                                         9
Efficient Recording of Data in HF
                RFID Tags
• Evaluating storage capabilities, it
  was decided that only one record
  NDEF messages should be used
   – No standard on the data structures
     used by care centres to keep data on
     their interns was found
   – Therefore, we have developed our data
     structures and encoding mechanisms:
      • Patient metadata is enriched with lifelog
         message entries detailing concrete
        events in said patient’s medical history.
      • Range Encoding Compression is applied
        to said data structure.



                                10
ElderCare Care Log
              Encoding
•   ElderCare proposes a special purpose compressed serialization
    method in order to maximize the usage of HF RFID tags’ storage:
    – Raw data (Stringified) – human readable string representation of a
      lifelog.
    – Encoded – transformation of a stringified care log into a more optimal
      representation.
    – Serialized data– it is a byte representation of a care log
    – Compressed data – applies a Range Encoding compression algorithm
      to the byte representation.




                                     11
ElderCare Log Encoding




          12
An NFC-supported
                        Platform

    Features:
    
        Allows for anywhere at any time, asynchronous
        multi-user gathering of data
    
        Allows for asynchronous care data reporting to
        both internal and external services

    Integrated components




                             13
ElderCare Mobile Client




          14
Relaying care data in the
      real-time web world.
•   The ElderCare AAL platform does
    not only keep custom data to
    enhance the daily activities in a
    care centre but ...
     – It also allows exporting part
       of that data to external
       services (such as Twitter, e-
       mail, SMS, RSS feeds...)
        • Relatives and friends can follow
          the lifelog of residents.
        • Digital copies of a patient’s
          medical history and reports can
          be sent by e-mail.
        • ...

                                  15
Conclusion
•   ElderCare stores a log for every new care procedure applied on the
    resident’s RFID wristband, following a data-on-tag approach
     – It uses RFID tags as mini databases
•   ElderCare makes data stay at any time with the resident and be
    available in real-time and without relying on wireless links
     – Our experiments show that the storage capacity of 1K (wristband) or 4K
       (watch) Mifare RFID tags, aided by CareTwitter’s custom-built data
       serialization format, is sufficient for storing the care logs of a
       whole day
•   The integration of ElderCare with external services (such as Twitter) proves
    the high potential of using interactions with everyday objects or
    people to automatically publish data into Internet
     – The lifelog of a resident is available to authorized users
     – Detailed reports can be automatically sent without additional efforts




                                         16
17

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Elder care iwaal

  • 1. Portable personal RFID databases for AAL-enabled healthcare environments. Ignacio Díaz-de-Sarralde, Diego López-de- Ipiña, Xabier Laiseca, Sergio Blanco DeustoTech – Deusto Institute of Technology Avda. Universidades 24, 48007, Bilbao, SPAIN {isarralde,dipina,xabier.laiseca,sergio.blanco}@deusto.es 1
  • 2. Contents • Introduction • Objectives • Related Work • An NFC-supported platform: • RFID tags as portable databases • Relaying care data in the real-time web world • Conclusion • Further questions 2
  • 3. Introduction • Technology: – RFID is mainly used as a low-cost solution to uniquely identify objects. • RFID tags encode a URI from where an object’s data can be accessed and operated (Data-on-network approach) • However, passive HF RFID tags allow significant data storage (up to 4K), enabling immediate access to the desired object’s metadata. • Domain: – AAL aims to increase our quality of life and autonomy and to reduce the need for being institutionalised or aiding it when it happens – Healthcare and Elderly care centres are challenging environments from the data gathering and publishing perspective. • Solution: – A hybrid approach where a data on tag approach is used in order to gather lifelogs of residents, occasionally contacting a back-end in order to synchronize or enrich said stored data. 3
  • 4. Objectives • This work has a two-fold objective: 1. Experimental: Evaluate how much data can actually be stored in HF RFID tags 2. Practical: Combine the RFID data-on-tag approach with NFC to improve data management in a healthcare centre, where: • RFID tags can serve as temporary repositories of care events • Interactions between residents’ RFID wristbands and staff’s NFC mobiles can improve care data management and keep relatives up-to-date 4
  • 5. Related Work • NFC technology operating on 13.56MHz combines the functionality of a RFID reader device and a RFID transponder into one integrated circuit – NFC read/write mode allows NFC devices to access data from an object with an embedded RFID tag • The combination of NFC technology and RFID tags has been used in the last few years in several research projects related to medicine and caretaking – However, so far RFID applications have not incorporated custom data directly onto RFID tags • Still prevails a generic lack of standardization, only alleviated by initiatives such as the Continua Health Alliance 5
  • 6. A Platform to Enhance Care Data Management • Caretaking is a suitable domain for combining NFC technology and the RFID data-on-tag approach in order to enhance the data gathering process – The ill and elderly people are looked after at different domains (patient’s homes or their families’, residences, hospitals) and by different people (relatives or staff), making very difficult to reconcile the information gathered • Some issues: – Residents do not always stay and sleep at the same place – Data capture is not highly prioritised – IT support at care centres and family homes is diverse 6
  • 7. Features • Supports caretaker on structured patient data recollection and storage • Allows collected data to be used efficiently – By enabling easy and clean data writing and reading of RFID tags with NFC phones – By relying patient activity to relatives via external services • Research novel RFID applications in daily use – Uses HF RFID tags as embeddable and portable DBs – Proposes optimal data encoding and compression 7
  • 8. RFID Tags as Portable Databases • The NFC Forum specifies a data- packaging format called NDEF (NFC Data Exchange Format) to exchange information between an NFC device and another NFC device or an NFC tag • Evaluation of HF RFID tags as tools to store data: 1. Select a set of easily wearable tags (ISO 15693-compatible) with as much storage capacity as possible and still compatible with NFC 2. Identify the maximum number of useful bytes storable in the selected tags 3. Develop a new efficient mechanism to store data on HF RFID tags 8
  • 9. Storage Capabilities of a 4K Mifare Watch Mifare 4K Watch Actual bytes Number of stored Average writing written (record ID of Record Size (bytes) records time (ms) 4 bytes) 1 372 8081 1860 2 335 7724 2010 4 279 7259 2232 8 209 6846 2508 16 139 6520 2780 32 83 6283 2988 64 46 6252 3128 128 24 6093 3168 3196 1 6214 3200 9
  • 10. Efficient Recording of Data in HF RFID Tags • Evaluating storage capabilities, it was decided that only one record NDEF messages should be used – No standard on the data structures used by care centres to keep data on their interns was found – Therefore, we have developed our data structures and encoding mechanisms: • Patient metadata is enriched with lifelog message entries detailing concrete events in said patient’s medical history. • Range Encoding Compression is applied to said data structure. 10
  • 11. ElderCare Care Log Encoding • ElderCare proposes a special purpose compressed serialization method in order to maximize the usage of HF RFID tags’ storage: – Raw data (Stringified) – human readable string representation of a lifelog. – Encoded – transformation of a stringified care log into a more optimal representation. – Serialized data– it is a byte representation of a care log – Compressed data – applies a Range Encoding compression algorithm to the byte representation. 11
  • 13. An NFC-supported Platform  Features:  Allows for anywhere at any time, asynchronous multi-user gathering of data  Allows for asynchronous care data reporting to both internal and external services  Integrated components 13
  • 15. Relaying care data in the real-time web world. • The ElderCare AAL platform does not only keep custom data to enhance the daily activities in a care centre but ... – It also allows exporting part of that data to external services (such as Twitter, e- mail, SMS, RSS feeds...) • Relatives and friends can follow the lifelog of residents. • Digital copies of a patient’s medical history and reports can be sent by e-mail. • ... 15
  • 16. Conclusion • ElderCare stores a log for every new care procedure applied on the resident’s RFID wristband, following a data-on-tag approach – It uses RFID tags as mini databases • ElderCare makes data stay at any time with the resident and be available in real-time and without relying on wireless links – Our experiments show that the storage capacity of 1K (wristband) or 4K (watch) Mifare RFID tags, aided by CareTwitter’s custom-built data serialization format, is sufficient for storing the care logs of a whole day • The integration of ElderCare with external services (such as Twitter) proves the high potential of using interactions with everyday objects or people to automatically publish data into Internet – The lifelog of a resident is available to authorized users – Detailed reports can be automatically sent without additional efforts 16
  • 17. 17