SlideShare a Scribd company logo
1 of 19
E-Frailty Research Analysis –
Identifying Risk
Brian Brown, Director for Scotland, CM2000
Adrian Smales, PhD Researcher, ENU
CM2000 In Scotland
80+
Local Authorities
& NHS Trusts
800+
Independent
Providers
3,000,000
Visitsaweek
235,000
Service Users
120,000
Carers
Population Demographics
Projected change in proportion of population aged 75 and over from 2010 to 2035 taken from National Records for
Scotland inquiry submission to the Scottish Parliament Finance Committee, 2013. 2nd Report, 2013 (Session 4):
Demographic change and an ageing population, The Scottish Parliament.
Homeostatic Stasis
Old (simple) diagram New “Dynamic” Diagram
Risk Stratification Abstraction
High Level
Metrics
Metrics Mood
Device Question
Data
Body Fat
(%)
Muscle
Mass
Bone
Mass
Body
Mass
Index
(BMI)
Daily
Calorie
Intake
(DCI)
Metaboli
c Age
Body
Water
(%)
Visceral
Fat
Weight
Grip
Strength
Reading
1
Grip
Strength
Reading
2
Grip
Strength
Reading
3
Date Resting Sitting Low medium high
Total
sleep
restfull
sleep
Restless
sleep
inactivity
stamps
Distance
walked
Steps
taken
How is
service
user
feeling
today
Heart
rate BPM
R-R
Interval
(ms)
IoRN v2
score
Beginnin
g
IoRN v2
score
Middle
IoRN v2
score End
MobilityDaytime Activity
Wellness/ Frailty
Body Composition Grip Strength Cardiac Activities of Daily Living
Performance
Sleep Pattern
Activity LevelPhysical Condition
CM2000 InFormsTanita Scales Grip strength meter H7Polar loop
Trust Level
• Tier 1 – Mandatory Public Sector Data Stores
• Tier 2 – Personal Data store (Devices, IoT, Non-Medical equipment)
• Tier 3 – Personal Data store (Subjective information, how do you feel?)
MEASUREMENTS:
Weight
Segmental body fat %
Segmental muscle mass
Body fat % (age 5 – 99 years)
Healthy body fat indicator
Total body water %
Muscle mass in kg
Bone mineral mass
Visceral fat indicator
Daily Calorie Intake
Metabolic age
BMI
What we are using…
• Assessment developed to capture Tanita scale information
• Assessment developed to capture Strength Grip information
• IoRN 2 information captured directly via an InForm assessment
• Data extracted and presented within CMBI for Council and Service User/Family members
InForm Assessment Builder / CMBI
Date of visit
Planned
start
time
planned
end time
Planned
duration
Actual
Start
time
Actual
end time
Actual duration
01/03/2016 17:00:00 17:30:00 30 17:24:35 17:48:16 24
02/03/2016 09:00:00 09:30:00 30 08:49:07 08:59:50 10
03/03/2016 09:00:00 09:30:00 30 10:10:22 10:28:31 18
04/03/2016 17:00:00 17:30:00 30 17:15:17 17:31:12 16
05/03/2016 17:00:00 17:30:00 30 17:01:27 17:14:56 13
06/03/2016 09:00:00 09:30:00 30 09:18:57 09:44:16 18
07/03/2016 09:00:00 09:30:00 30 09:10:17 09:26:07 16
08/03/2016 17:00:00 17:30:00 30 17:55:28 18:12:13 17
09/03/2016 09:00:00 09:30:00 30 10:30:27 10:48:59 18
10/03/2016 09:00:00 09:30:00 30 09:15:06 09:34:35 19
11/03/2016 17:00:00 17:30:00 30 17:47:40 18:20:23 33
12/03/2016 09:00:00 09:30:00 30 10:14:37 10:42:28 28
13/03/2016 09:00:00 09:30:00 30 09:07:24 09:39:41 32
14/03/2016 17:00:00 17:30:00 30 18:46:00 19:01:01 15
15/03/2016 09:00:00 09:30:00 30 09:59:22 10:34:07 35
16/03/2016 09:00:00 09:30:00 30 09:39:53 09:55:13 16
17/03/2016 17:00:00 17:30:00 30 18:02:39 18:15:45 13
18/03/2016 09:00:00 09:30:00 30 08:34:13 08:48:04 14
19/03/2016 09:00:00 09:30:00 30 09:59:27 10:27:23 28
20/03/2016 09:00:00 09:30:00 30 10:15:32 10:36:14 21
21/03/2016 09:00:00 09:30:00 30 09:28:55 09:58:14 30
22/03/2016 09:00:00 09:30:00 30 09:33:51 09:56:20 23
23/03/2016 17:00:00 17:30:00 30 17:02:33 17:14:50 12
24/03/2016 09:00:00 09:30:00 30 09:10:13 09:36:29 26
25/03/2016 09:00:00 09:30:00 30 09:43:49 10:12:43 29
26/03/2016 17:00:00 17:30:00 30 18:31:11 18:47:11 16
27/03/2016 09:00:00 09:30:00 30 09:30:06 09:54:17 24
Using Quantitative Monitoring Data – person 10
Polar Wearables – Data Metrics
Risk Identification
• Identification of client who was significantly de-hydrated
• Identification of risk trends through client weight loss
• Identification of client restlessness at night therefore
ongoing risk during the day
• Reduction in muscle mass
• Reduction in strength grip
• Increasing risk identified by the client themselves
Target Patient Groups -
Where Risk Identified
• Known fallers
• Patients going through a reablement process
• Patients on the periphery with some low level telecare equipment e.g.
community alarm
• Younger adults with mental health /memory problems
• Learning disability/ Supported Living where challenge has been in
person expressing how well / unwell they are feeling
• Synergy with Falls Prediction project in terms of data modelling being used to enable
prediction
• Project being completed in conjunction with Birmingham City University & Westminster
Homecare
• UNTAPPED - Utilising Novel Techniques to Assess Predictive Patterns in Early
Dementia
• Identifying “Social Markers” recognise and enable early detection of dementia
Project Synergy – Dementia Prediction
By 2020, there will be nearly a million people with dementia in the UK.
Despite recent improvements, the diagnosis rate is less than 50%
Wellness/Frailty Scale - Physical Condition
High Level
Metrics
Metrics
Device
Data
Body Fat
(%)
Muscle
Mass
Bone
Mass
Body
Mass
Index
(BMI)
Daily
Calorie
Intake
(DCI)
Metaboli
c Age
Body
Water
(%)
Visceral
Fat
Weight
Grip
Strength
Reading
1
Grip
Strength
Reading
2
Grip
Strength
Reading
3
Date Resting Sitting Low
Daytime Activ
Wellness/ Frailty
Body Composition Grip Strength
Physical Condition
Tanita Scales Grip strength meter
Wellness/Frailty Scale - Activity Level
Mood
Question
sceral
Fat
Weight
Grip
Strength
Reading
1
Grip
Strength
Reading
2
Grip
Strength
Reading
3
Date Resting Sitting Low medium high
Total
sleep
restfull
sleep
Restless
sleep
inactivity
stamps
Distance
walked
Steps
taken
How is
service
user
feeling
today
Heart
rate BPM
R-R
Interval
(ms)
IoRN v2
score
Beginnin
g
IoRN
scor
Midd
MobilityDaytime Activity
Wellness/ Frailty
Grip Strength Cardiac Activities of D
Performance
Sleep Pattern
Activity Level
CM2000 IGrip strength meter H7Polar loop
Wellness/Frailty Scale - Performance
Mood
Question
Total
sleep
restfull
sleep
Restless
sleep
inactivity
stamps
Distance
walked
Steps
taken
How is
service
user
feeling
today
Heart
rate BPM
R-R
Interval
(ms)
IoRN v2
score
Beginnin
g
IoRN v2
score
Middle
IoRN v2
score End
Mobility Cardiac Activities of Daily Living
Performance
Sleep Pattern
Level
CM2000 InFormsH7oop

More Related Content

Viewers also liked

Incident Response: Network Forensics
Incident Response: Network ForensicsIncident Response: Network Forensics
Incident Response: Network ForensicsNapier University
 
CSN09112: Introduction to Computer Security
CSN09112: Introduction to Computer SecurityCSN09112: Introduction to Computer Security
CSN09112: Introduction to Computer SecurityNapier University
 
Trust and Governance in Health and Social Care
Trust and Governance in Health and Social Care Trust and Governance in Health and Social Care
Trust and Governance in Health and Social Care Napier University
 
Blockchain and Health - James Little-john
Blockchain and Health - James Little-johnBlockchain and Health - James Little-john
Blockchain and Health - James Little-johnNapier University
 
Design and Evaluation of [vSoC]: Virtualised Security Operations Centre
Design and Evaluation of [vSoC]: Virtualised Security Operations Centre  Design and Evaluation of [vSoC]: Virtualised Security Operations Centre
Design and Evaluation of [vSoC]: Virtualised Security Operations Centre Napier University
 
Population Health Management - Angus McCann
Population Health Management - Angus McCannPopulation Health Management - Angus McCann
Population Health Management - Angus McCannNapier University
 
LIquidity and Validity - Jan Gill
LIquidity and Validity - Jan GillLIquidity and Validity - Jan Gill
LIquidity and Validity - Jan GillNapier University
 
Machine Learning for Threat Detection
Machine Learning for Threat DetectionMachine Learning for Threat Detection
Machine Learning for Threat DetectionNapier University
 
National Cybersecurity - Roadmap and Action Plan
National Cybersecurity - Roadmap and Action PlanNational Cybersecurity - Roadmap and Action Plan
National Cybersecurity - Roadmap and Action PlanDr David Probert
 
CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...
CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...
CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...Dr David Probert
 
When Cyber Security Meets Machine Learning
When Cyber Security Meets Machine LearningWhen Cyber Security Meets Machine Learning
When Cyber Security Meets Machine LearningLior Rokach
 
Artificial Intelligence and Machine Learning for Cybersecurity
Artificial Intelligence and Machine Learning for CybersecurityArtificial Intelligence and Machine Learning for Cybersecurity
Artificial Intelligence and Machine Learning for CybersecurityDr David Probert
 
Incident response: Advanced Network Forensics
Incident response: Advanced Network ForensicsIncident response: Advanced Network Forensics
Incident response: Advanced Network ForensicsNapier University
 
Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...
Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...
Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...XEventsHospitality
 

Viewers also liked (16)

Incident Response: Network Forensics
Incident Response: Network ForensicsIncident Response: Network Forensics
Incident Response: Network Forensics
 
Untuk penggiat Cyber Security dan Sertifikasi dari isaca csx-update-18_apr - ...
Untuk penggiat Cyber Security dan Sertifikasi dari isaca csx-update-18_apr - ...Untuk penggiat Cyber Security dan Sertifikasi dari isaca csx-update-18_apr - ...
Untuk penggiat Cyber Security dan Sertifikasi dari isaca csx-update-18_apr - ...
 
CSN09112: Introduction to Computer Security
CSN09112: Introduction to Computer SecurityCSN09112: Introduction to Computer Security
CSN09112: Introduction to Computer Security
 
Trust and Governance in Health and Social Care
Trust and Governance in Health and Social Care Trust and Governance in Health and Social Care
Trust and Governance in Health and Social Care
 
Blockchain and Health - James Little-john
Blockchain and Health - James Little-johnBlockchain and Health - James Little-john
Blockchain and Health - James Little-john
 
Design and Evaluation of [vSoC]: Virtualised Security Operations Centre
Design and Evaluation of [vSoC]: Virtualised Security Operations Centre  Design and Evaluation of [vSoC]: Virtualised Security Operations Centre
Design and Evaluation of [vSoC]: Virtualised Security Operations Centre
 
Incident Response: SIEM
Incident Response: SIEMIncident Response: SIEM
Incident Response: SIEM
 
Population Health Management - Angus McCann
Population Health Management - Angus McCannPopulation Health Management - Angus McCann
Population Health Management - Angus McCann
 
LIquidity and Validity - Jan Gill
LIquidity and Validity - Jan GillLIquidity and Validity - Jan Gill
LIquidity and Validity - Jan Gill
 
Machine Learning for Threat Detection
Machine Learning for Threat DetectionMachine Learning for Threat Detection
Machine Learning for Threat Detection
 
National Cybersecurity - Roadmap and Action Plan
National Cybersecurity - Roadmap and Action PlanNational Cybersecurity - Roadmap and Action Plan
National Cybersecurity - Roadmap and Action Plan
 
CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...
CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...
CyberTerror-CyberCrime-CyberWar! - Crucial Role of CyberSecurity in "War on T...
 
When Cyber Security Meets Machine Learning
When Cyber Security Meets Machine LearningWhen Cyber Security Meets Machine Learning
When Cyber Security Meets Machine Learning
 
Artificial Intelligence and Machine Learning for Cybersecurity
Artificial Intelligence and Machine Learning for CybersecurityArtificial Intelligence and Machine Learning for Cybersecurity
Artificial Intelligence and Machine Learning for Cybersecurity
 
Incident response: Advanced Network Forensics
Incident response: Advanced Network ForensicsIncident response: Advanced Network Forensics
Incident response: Advanced Network Forensics
 
Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...
Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...
Global Cyber Security Outlook - Deloitte (Hotel_Digital_Security_Seminar_Sept...
 

Similar to E-Frailty Research Analysis – Identifying Risk Factors

TDI Startup Insurtech Award - Bct presentation
TDI Startup Insurtech Award - Bct presentationTDI Startup Insurtech Award - Bct presentation
TDI Startup Insurtech Award - Bct presentationThe Digital Insurer
 
User modelling challenge ideatory 2014
User modelling challenge ideatory 2014User modelling challenge ideatory 2014
User modelling challenge ideatory 2014Parindsheel Dhillon
 
John Gallacher - What next
John Gallacher - What nextJohn Gallacher - What next
John Gallacher - What nextangewatkins
 
Plenary 4.1 Scotland's Health - Lessons Learned on Running to the Sahara
Plenary 4.1 Scotland's Health - Lessons Learned on Running to the SaharaPlenary 4.1 Scotland's Health - Lessons Learned on Running to the Sahara
Plenary 4.1 Scotland's Health - Lessons Learned on Running to the SaharaNHSScotlandEvent
 
Mn ltss projection model
Mn ltss projection modelMn ltss projection model
Mn ltss projection modelsoder145
 
Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)Dr. Mazlan Abbas
 
Olly Stephenson, Operations Director, MWDH Ltd
Olly Stephenson, Operations Director, MWDH LtdOlly Stephenson, Operations Director, MWDH Ltd
Olly Stephenson, Operations Director, MWDH LtdHealth Innovation Wessex
 
State of Men's Health - Scotland
State of Men's Health - ScotlandState of Men's Health - Scotland
State of Men's Health - ScotlandMen's Health Forum
 
Short Essay On Crime In Society. Online assignment writing service.
Short Essay On Crime In Society. Online assignment writing service.Short Essay On Crime In Society. Online assignment writing service.
Short Essay On Crime In Society. Online assignment writing service.Elizabeth Johnson
 
Big Data in Biomedicine: Where is the NIH Headed
Big Data in Biomedicine: Where is the NIH HeadedBig Data in Biomedicine: Where is the NIH Headed
Big Data in Biomedicine: Where is the NIH HeadedPhilip Bourne
 
Weight loss interventions for adults who are obese on mortality and morbidity...
Weight loss interventions for adults who are obese on mortality and morbidity...Weight loss interventions for adults who are obese on mortality and morbidity...
Weight loss interventions for adults who are obese on mortality and morbidity...Health Evidence™
 
Lecture8-AI-Applications-Part-III-Feb07-2022.pptx
Lecture8-AI-Applications-Part-III-Feb07-2022.pptxLecture8-AI-Applications-Part-III-Feb07-2022.pptx
Lecture8-AI-Applications-Part-III-Feb07-2022.pptxAmanKumar224403
 
Pres aapor may17_call
Pres aapor may17_callPres aapor may17_call
Pres aapor may17_callsoder145
 

Similar to E-Frailty Research Analysis – Identifying Risk Factors (20)

TDI Startup Insurtech Award - Bct presentation
TDI Startup Insurtech Award - Bct presentationTDI Startup Insurtech Award - Bct presentation
TDI Startup Insurtech Award - Bct presentation
 
User modelling challenge ideatory 2014
User modelling challenge ideatory 2014User modelling challenge ideatory 2014
User modelling challenge ideatory 2014
 
Quest feb14
Quest feb14Quest feb14
Quest feb14
 
John Gallacher - What next
John Gallacher - What nextJohn Gallacher - What next
John Gallacher - What next
 
Plenary 4.1 Scotland's Health - Lessons Learned on Running to the Sahara
Plenary 4.1 Scotland's Health - Lessons Learned on Running to the SaharaPlenary 4.1 Scotland's Health - Lessons Learned on Running to the Sahara
Plenary 4.1 Scotland's Health - Lessons Learned on Running to the Sahara
 
Beyond BMI Webinar Slides
Beyond BMI Webinar SlidesBeyond BMI Webinar Slides
Beyond BMI Webinar Slides
 
Mn ltss projection model
Mn ltss projection modelMn ltss projection model
Mn ltss projection model
 
Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)Quantified-Self and Lifelogging Meets Internet of Things (IOT)
Quantified-Self and Lifelogging Meets Internet of Things (IOT)
 
Olly Stephenson, Operations Director, MWDH Ltd
Olly Stephenson, Operations Director, MWDH LtdOlly Stephenson, Operations Director, MWDH Ltd
Olly Stephenson, Operations Director, MWDH Ltd
 
State of Men's Health - Scotland
State of Men's Health - ScotlandState of Men's Health - Scotland
State of Men's Health - Scotland
 
Prevent AMD 2019 SlideShre
Prevent AMD 2019 SlideShrePrevent AMD 2019 SlideShre
Prevent AMD 2019 SlideShre
 
PreventAMD2020 SlideShow
PreventAMD2020 SlideShowPreventAMD2020 SlideShow
PreventAMD2020 SlideShow
 
Prevent AMD 2019 SlideShow
Prevent AMD 2019 SlideShowPrevent AMD 2019 SlideShow
Prevent AMD 2019 SlideShow
 
Short Essay On Crime In Society. Online assignment writing service.
Short Essay On Crime In Society. Online assignment writing service.Short Essay On Crime In Society. Online assignment writing service.
Short Essay On Crime In Society. Online assignment writing service.
 
Big Data in Biomedicine: Where is the NIH Headed
Big Data in Biomedicine: Where is the NIH HeadedBig Data in Biomedicine: Where is the NIH Headed
Big Data in Biomedicine: Where is the NIH Headed
 
Weight loss interventions for adults who are obese on mortality and morbidity...
Weight loss interventions for adults who are obese on mortality and morbidity...Weight loss interventions for adults who are obese on mortality and morbidity...
Weight loss interventions for adults who are obese on mortality and morbidity...
 
Trends in mortality_v0.9
Trends in mortality_v0.9Trends in mortality_v0.9
Trends in mortality_v0.9
 
Lecture8-AI-Applications-Part-III-Feb07-2022.pptx
Lecture8-AI-Applications-Part-III-Feb07-2022.pptxLecture8-AI-Applications-Part-III-Feb07-2022.pptx
Lecture8-AI-Applications-Part-III-Feb07-2022.pptx
 
Pres aapor may17_call
Pres aapor may17_callPres aapor may17_call
Pres aapor may17_call
 
PreventAMD2020.invitation
PreventAMD2020.invitationPreventAMD2020.invitation
PreventAMD2020.invitation
 

More from Napier University

10. Data to Information: NumPy and Pandas
10. Data to Information: NumPy and Pandas10. Data to Information: NumPy and Pandas
10. Data to Information: NumPy and PandasNapier University
 
The Road Ahead for Ripple, Marjan Delatinne
The Road Ahead for Ripple, Marjan DelatinneThe Road Ahead for Ripple, Marjan Delatinne
The Road Ahead for Ripple, Marjan DelatinneNapier University
 
Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt
 Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt
Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-WattNapier University
 
RMIT Blockchain Innovation Hub, Chris Berg
RMIT Blockchain Innovation Hub, Chris BergRMIT Blockchain Innovation Hub, Chris Berg
RMIT Blockchain Innovation Hub, Chris BergNapier University
 
Browser-based Crypto M, C. F Mondschein
Browser-based Crypto M, C. F MondscheinBrowser-based Crypto M, C. F Mondschein
Browser-based Crypto M, C. F MondscheinNapier University
 
Should we transform or adapt to blockchain - a public sector perspective?, Al...
Should we transform or adapt to blockchain - a public sector perspective?, Al...Should we transform or adapt to blockchain - a public sector perspective?, Al...
Should we transform or adapt to blockchain - a public sector perspective?, Al...Napier University
 
IoT device attestation system using blockchain, Alistair Duke
IoT device attestation system using blockchain, Alistair DukeIoT device attestation system using blockchain, Alistair Duke
IoT device attestation system using blockchain, Alistair DukeNapier University
 
Robust Programming of Smart Contracts in Solidity+, RK Shyamasundar
Robust Programming of Smart Contracts in Solidity+, RK ShyamasundarRobust Programming of Smart Contracts in Solidity+, RK Shyamasundar
Robust Programming of Smart Contracts in Solidity+, RK ShyamasundarNapier University
 
Using Blockchain for Evidence Purpose, Rafael Prabucki
Using Blockchain for Evidence Purpose, Rafael PrabuckiUsing Blockchain for Evidence Purpose, Rafael Prabucki
Using Blockchain for Evidence Purpose, Rafael PrabuckiNapier University
 
Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...
Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...
Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...Napier University
 
Emerging Regulatory Approaches to Blockchain-based Token Economy, Agata Fereirra
Emerging Regulatory Approaches to Blockchain-based Token Economy, Agata FereirraEmerging Regulatory Approaches to Blockchain-based Token Economy, Agata Fereirra
Emerging Regulatory Approaches to Blockchain-based Token Economy, Agata FereirraNapier University
 

More from Napier University (20)

Intrusion Detection Systems
Intrusion Detection SystemsIntrusion Detection Systems
Intrusion Detection Systems
 
Networks
NetworksNetworks
Networks
 
Memory, Big Data and SIEM
Memory, Big Data and SIEMMemory, Big Data and SIEM
Memory, Big Data and SIEM
 
What is Cyber Data?
What is Cyber Data?What is Cyber Data?
What is Cyber Data?
 
Open Source Intelligence
Open Source IntelligenceOpen Source Intelligence
Open Source Intelligence
 
10. Data to Information: NumPy and Pandas
10. Data to Information: NumPy and Pandas10. Data to Information: NumPy and Pandas
10. Data to Information: NumPy and Pandas
 
2. Defence Systems
2. Defence Systems2. Defence Systems
2. Defence Systems
 
1. Cyber and Intelligence
1. Cyber and Intelligence1. Cyber and Intelligence
1. Cyber and Intelligence
 
The Road Ahead for Ripple, Marjan Delatinne
The Road Ahead for Ripple, Marjan DelatinneThe Road Ahead for Ripple, Marjan Delatinne
The Road Ahead for Ripple, Marjan Delatinne
 
Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt
 Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt
Delivering The Tel Aviv Stock Exchange Securities, Duncan Johnston-Watt
 
ARTiFACTS, Emma Boswood
ARTiFACTS, Emma BoswoodARTiFACTS, Emma Boswood
ARTiFACTS, Emma Boswood
 
RMIT Blockchain Innovation Hub, Chris Berg
RMIT Blockchain Innovation Hub, Chris BergRMIT Blockchain Innovation Hub, Chris Berg
RMIT Blockchain Innovation Hub, Chris Berg
 
Keynote, Naseem Naqvi
Keynote, Naseem Naqvi Keynote, Naseem Naqvi
Keynote, Naseem Naqvi
 
Browser-based Crypto M, C. F Mondschein
Browser-based Crypto M, C. F MondscheinBrowser-based Crypto M, C. F Mondschein
Browser-based Crypto M, C. F Mondschein
 
Should we transform or adapt to blockchain - a public sector perspective?, Al...
Should we transform or adapt to blockchain - a public sector perspective?, Al...Should we transform or adapt to blockchain - a public sector perspective?, Al...
Should we transform or adapt to blockchain - a public sector perspective?, Al...
 
IoT device attestation system using blockchain, Alistair Duke
IoT device attestation system using blockchain, Alistair DukeIoT device attestation system using blockchain, Alistair Duke
IoT device attestation system using blockchain, Alistair Duke
 
Robust Programming of Smart Contracts in Solidity+, RK Shyamasundar
Robust Programming of Smart Contracts in Solidity+, RK ShyamasundarRobust Programming of Smart Contracts in Solidity+, RK Shyamasundar
Robust Programming of Smart Contracts in Solidity+, RK Shyamasundar
 
Using Blockchain for Evidence Purpose, Rafael Prabucki
Using Blockchain for Evidence Purpose, Rafael PrabuckiUsing Blockchain for Evidence Purpose, Rafael Prabucki
Using Blockchain for Evidence Purpose, Rafael Prabucki
 
Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...
Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...
Cryptocurrencies and cyberlaundering- the need for regulation, Gian Marco Bov...
 
Emerging Regulatory Approaches to Blockchain-based Token Economy, Agata Fereirra
Emerging Regulatory Approaches to Blockchain-based Token Economy, Agata FereirraEmerging Regulatory Approaches to Blockchain-based Token Economy, Agata Fereirra
Emerging Regulatory Approaches to Blockchain-based Token Economy, Agata Fereirra
 

Recently uploaded

Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...
Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...
Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...narwatsonia7
 
Russian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls Jaipur
Russian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls JaipurRussian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls Jaipur
Russian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls Jaipurparulsinha
 
Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...
Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...
Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...CALL GIRLS
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiAlinaDevecerski
 
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...jageshsingh5554
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Servicevidya singh
 
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls AvailableVip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls AvailableNehru place Escorts
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escortsaditipandeya
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...chandars293
 
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...astropune
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escortsvidya singh
 
Top Rated Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...
Top Rated  Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...Top Rated  Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...
Top Rated Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...chandars293
 
(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...
(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...
(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...Taniya Sharma
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...indiancallgirl4rent
 
Chandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD availableChandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD availableDipal Arora
 
Call Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 

Recently uploaded (20)

Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...
Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...
Top Rated Bangalore Call Girls Mg Road ⟟ 8250192130 ⟟ Call Me For Genuine Sex...
 
Russian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls Jaipur
Russian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls JaipurRussian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls Jaipur
Russian Call Girls in Jaipur Riya WhatsApp ❤8445551418 VIP Call Girls Jaipur
 
Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...
Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...
Call Girls Service Surat Samaira ❤️🍑 8250192130 👄 Independent Escort Service ...
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
 
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
 
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls AvailableVip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
 
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
 
Top Rated Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...
Top Rated  Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...Top Rated  Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...
Top Rated Hyderabad Call Girls Erragadda ⟟ 6297143586 ⟟ Call Me For Genuine ...
 
(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...
(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...
(👑VVIP ISHAAN ) Russian Call Girls Service Navi Mumbai🖕9920874524🖕Independent...
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
 
Chandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD availableChandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD available
 
Russian Call Girls in Delhi Tanvi ➡️ 9711199012 💋📞 Independent Escort Service...
Russian Call Girls in Delhi Tanvi ➡️ 9711199012 💋📞 Independent Escort Service...Russian Call Girls in Delhi Tanvi ➡️ 9711199012 💋📞 Independent Escort Service...
Russian Call Girls in Delhi Tanvi ➡️ 9711199012 💋📞 Independent Escort Service...
 
Call Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Jabalpur Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
 

E-Frailty Research Analysis – Identifying Risk Factors

  • 1. E-Frailty Research Analysis – Identifying Risk Brian Brown, Director for Scotland, CM2000 Adrian Smales, PhD Researcher, ENU
  • 3. 80+ Local Authorities & NHS Trusts 800+ Independent Providers 3,000,000 Visitsaweek 235,000 Service Users 120,000 Carers
  • 4. Population Demographics Projected change in proportion of population aged 75 and over from 2010 to 2035 taken from National Records for Scotland inquiry submission to the Scottish Parliament Finance Committee, 2013. 2nd Report, 2013 (Session 4): Demographic change and an ageing population, The Scottish Parliament.
  • 5. Homeostatic Stasis Old (simple) diagram New “Dynamic” Diagram
  • 6. Risk Stratification Abstraction High Level Metrics Metrics Mood Device Question Data Body Fat (%) Muscle Mass Bone Mass Body Mass Index (BMI) Daily Calorie Intake (DCI) Metaboli c Age Body Water (%) Visceral Fat Weight Grip Strength Reading 1 Grip Strength Reading 2 Grip Strength Reading 3 Date Resting Sitting Low medium high Total sleep restfull sleep Restless sleep inactivity stamps Distance walked Steps taken How is service user feeling today Heart rate BPM R-R Interval (ms) IoRN v2 score Beginnin g IoRN v2 score Middle IoRN v2 score End MobilityDaytime Activity Wellness/ Frailty Body Composition Grip Strength Cardiac Activities of Daily Living Performance Sleep Pattern Activity LevelPhysical Condition CM2000 InFormsTanita Scales Grip strength meter H7Polar loop Trust Level • Tier 1 – Mandatory Public Sector Data Stores • Tier 2 – Personal Data store (Devices, IoT, Non-Medical equipment) • Tier 3 – Personal Data store (Subjective information, how do you feel?)
  • 7. MEASUREMENTS: Weight Segmental body fat % Segmental muscle mass Body fat % (age 5 – 99 years) Healthy body fat indicator Total body water % Muscle mass in kg Bone mineral mass Visceral fat indicator Daily Calorie Intake Metabolic age BMI What we are using…
  • 8.
  • 9. • Assessment developed to capture Tanita scale information • Assessment developed to capture Strength Grip information • IoRN 2 information captured directly via an InForm assessment • Data extracted and presented within CMBI for Council and Service User/Family members InForm Assessment Builder / CMBI
  • 10.
  • 11. Date of visit Planned start time planned end time Planned duration Actual Start time Actual end time Actual duration 01/03/2016 17:00:00 17:30:00 30 17:24:35 17:48:16 24 02/03/2016 09:00:00 09:30:00 30 08:49:07 08:59:50 10 03/03/2016 09:00:00 09:30:00 30 10:10:22 10:28:31 18 04/03/2016 17:00:00 17:30:00 30 17:15:17 17:31:12 16 05/03/2016 17:00:00 17:30:00 30 17:01:27 17:14:56 13 06/03/2016 09:00:00 09:30:00 30 09:18:57 09:44:16 18 07/03/2016 09:00:00 09:30:00 30 09:10:17 09:26:07 16 08/03/2016 17:00:00 17:30:00 30 17:55:28 18:12:13 17 09/03/2016 09:00:00 09:30:00 30 10:30:27 10:48:59 18 10/03/2016 09:00:00 09:30:00 30 09:15:06 09:34:35 19 11/03/2016 17:00:00 17:30:00 30 17:47:40 18:20:23 33 12/03/2016 09:00:00 09:30:00 30 10:14:37 10:42:28 28 13/03/2016 09:00:00 09:30:00 30 09:07:24 09:39:41 32 14/03/2016 17:00:00 17:30:00 30 18:46:00 19:01:01 15 15/03/2016 09:00:00 09:30:00 30 09:59:22 10:34:07 35 16/03/2016 09:00:00 09:30:00 30 09:39:53 09:55:13 16 17/03/2016 17:00:00 17:30:00 30 18:02:39 18:15:45 13 18/03/2016 09:00:00 09:30:00 30 08:34:13 08:48:04 14 19/03/2016 09:00:00 09:30:00 30 09:59:27 10:27:23 28 20/03/2016 09:00:00 09:30:00 30 10:15:32 10:36:14 21 21/03/2016 09:00:00 09:30:00 30 09:28:55 09:58:14 30 22/03/2016 09:00:00 09:30:00 30 09:33:51 09:56:20 23 23/03/2016 17:00:00 17:30:00 30 17:02:33 17:14:50 12 24/03/2016 09:00:00 09:30:00 30 09:10:13 09:36:29 26 25/03/2016 09:00:00 09:30:00 30 09:43:49 10:12:43 29 26/03/2016 17:00:00 17:30:00 30 18:31:11 18:47:11 16 27/03/2016 09:00:00 09:30:00 30 09:30:06 09:54:17 24 Using Quantitative Monitoring Data – person 10
  • 12. Polar Wearables – Data Metrics
  • 13. Risk Identification • Identification of client who was significantly de-hydrated • Identification of risk trends through client weight loss • Identification of client restlessness at night therefore ongoing risk during the day • Reduction in muscle mass • Reduction in strength grip • Increasing risk identified by the client themselves
  • 14. Target Patient Groups - Where Risk Identified • Known fallers • Patients going through a reablement process • Patients on the periphery with some low level telecare equipment e.g. community alarm • Younger adults with mental health /memory problems • Learning disability/ Supported Living where challenge has been in person expressing how well / unwell they are feeling
  • 15.
  • 16. • Synergy with Falls Prediction project in terms of data modelling being used to enable prediction • Project being completed in conjunction with Birmingham City University & Westminster Homecare • UNTAPPED - Utilising Novel Techniques to Assess Predictive Patterns in Early Dementia • Identifying “Social Markers” recognise and enable early detection of dementia Project Synergy – Dementia Prediction By 2020, there will be nearly a million people with dementia in the UK. Despite recent improvements, the diagnosis rate is less than 50%
  • 17. Wellness/Frailty Scale - Physical Condition High Level Metrics Metrics Device Data Body Fat (%) Muscle Mass Bone Mass Body Mass Index (BMI) Daily Calorie Intake (DCI) Metaboli c Age Body Water (%) Visceral Fat Weight Grip Strength Reading 1 Grip Strength Reading 2 Grip Strength Reading 3 Date Resting Sitting Low Daytime Activ Wellness/ Frailty Body Composition Grip Strength Physical Condition Tanita Scales Grip strength meter
  • 18. Wellness/Frailty Scale - Activity Level Mood Question sceral Fat Weight Grip Strength Reading 1 Grip Strength Reading 2 Grip Strength Reading 3 Date Resting Sitting Low medium high Total sleep restfull sleep Restless sleep inactivity stamps Distance walked Steps taken How is service user feeling today Heart rate BPM R-R Interval (ms) IoRN v2 score Beginnin g IoRN scor Midd MobilityDaytime Activity Wellness/ Frailty Grip Strength Cardiac Activities of D Performance Sleep Pattern Activity Level CM2000 IGrip strength meter H7Polar loop
  • 19. Wellness/Frailty Scale - Performance Mood Question Total sleep restfull sleep Restless sleep inactivity stamps Distance walked Steps taken How is service user feeling today Heart rate BPM R-R Interval (ms) IoRN v2 score Beginnin g IoRN v2 score Middle IoRN v2 score End Mobility Cardiac Activities of Daily Living Performance Sleep Pattern Level CM2000 InFormsH7oop