|
1. |
EXECUTIVE SUMMARY |
|
1.1. |
Interest in wearable health is growing |
|
1.2. |
Roadmap of wearable sensor technology segmented by key biometrics |
|
1.3. |
Wearable devices for medical and wellness applications increasingly overlap |
|
1.4. |
Main health conditions targeted by wearable health technology |
|
1.5. |
Prosumer demand for wearables can impact trends in the mass market |
|
1.6. |
New sensors and e-textiles can expand the market for wearable fitness technology |
|
1.7. |
Wearable motion sensors: Introduction |
|
1.8. |
Overview of emerging use-cases for wearable motion sensors |
|
1.9. |
MEMS-based IMUs for wearable motion sensing: SWOT |
|
1.10. |
Wearable motion sensors: Conclusions |
|
1.11. |
Wearable optical sensors: Introduction |
|
1.12. |
Market outlook and technology readiness of wearable blood pressure |
|
1.13. |
Wearable optical sensors: SWOT |
|
1.14. |
Optical sensors: conclusions and outlook |
|
1.15. |
Wearable optical imaging: Introduction |
|
1.16. |
Optical imaging for wearables: SWOT |
|
1.17. |
Optical imaging for wearables: key conclusions |
|
1.18. |
Overview of wearable electrode types |
|
1.19. |
Wearable electrodes: applications and product types |
|
1.20. |
Consolidated SWOT of wearable electrodes |
|
1.21. |
Wearable electrodes: conclusions and outlook |
|
1.22. |
Wearable force and strain sensing |
|
1.23. |
Wearable force/pressure sensors: SWOT |
|
1.24. |
Wearable force/pressure sensors: conclusions and outlook |
|
1.25. |
SWOT: Wearable strain sensors: |
|
1.26. |
Conclusions and outlook: Wearable strain sensors |
|
1.27. |
Wearable temperature sensors |
|
1.28. |
SWOT: Wearable temperature sensors |
|
1.29. |
Conclusions and outlook: Wearable temperature sensors |
|
1.30. |
Wearable chemical sensing |
|
1.31. |
SWOT: Chemical glucose sensors |
|
1.32. |
Conclusions and outlook: Chemical wearable sensors for glucose sensing |
|
1.33. |
Novel biometrics and sensing methods |
|
1.34. |
Readiness level and market potential: Wearable sensors for novel biometrics |
|
1.35. |
Conclusions and outlook: Wearable sensors for novel biometrics |
|
2. |
INTRODUCTION |
|
2.1. |
Introduction to wearable sensors |
|
2.2. |
Wearable technology takes many form factors |
|
2.3. |
Overview of wearable sensor types |
|
2.4. |
Connecting form factors, sensors and metrics |
|
2.5. |
How is wearable sensor data used? |
|
2.6. |
Definitions of sensors within devices |
|
2.7. |
Interest in wearable health monitoring is growing |
|
2.8. |
Can new wearable sensors persuade mass-market consumers to switch brands? |
|
2.9. |
New sensors and e-textiles can expand the market for wearable fitness technology |
|
2.10. |
Combining wearable health data with environmental and food-safety: An emerging opportunity |
|
2.11. |
Trends in wearables for digital health: from node to network |
|
2.12. |
The health insurance sector expands the market for consumer wearables |
|
2.13. |
Virtual reality depends on wearable sensors for immersion |
|
2.14. |
VR headsets revenue forecast reflects growth opportunity for wearable sensors |
|
2.15. |
Roadmap of wearable sensor technology segmented by key biometrics |
|
3. |
MARKET FORECASTS |
|
3.1. |
Forecasting: introduction and definitions |
|
3.2. |
Definitions and categorisation for sensor types |
|
3.3. |
Sensor revenue - historic data and forecast |
|
3.4. |
Market share - historic data and forecast |
|
3.5. |
Sensor volume - historic data and forecast |
|
3.6. |
Sensor pricing - historic data and forecast |
|
3.7. |
Sensor revenue - historic data and forecast |
|
3.8. |
Disposable electrode forecast - volume |
|
3.9. |
Disposable electrode forecast - revenue |
|
4. |
MOTION SENSORS |
|
4.1.1. |
Introduction to wearable motion sensors |
|
4.1.2. |
Motion Sensors: |
|
4.2. |
Inertial Measurement Units |
|
4.2.1. |
Inertial Measurement Units (IMUs): An introduction |
|
4.2.2. |
MEMS: The manufacturing method for IMUs |
|
4.2.3. |
IMU packages: MEMs accelerometers |
|
4.2.4. |
IMU Packages: MEMS Gyroscopes |
|
4.2.5. |
IMU Packages: magnetometers (digital compasses) |
|
4.2.6. |
IMU Packages: magnetometer types |
|
4.2.7. |
IMUs for smart-watches: major players and industry dynamic |
|
4.2.8. |
Magnetometer suppliers and industry dynamic |
|
4.2.9. |
Limitations and common errors with MEMS sensors |
|
4.2.10. |
MEMS IMUs are becoming a commodity |
|
4.2.11. |
An opportunity for MEMs barometers to expand 3D motion sensing |
|
4.2.12. |
Accelerometers for hearables - biggest market growth expected for earphones |
|
4.2.13. |
Opportunity for wearable motion sensors to solve the problem of internal navigation unsolved by GPS |
|
4.2.14. |
Impact of the chip shortage on MEMS |
|
4.2.15. |
MEMS-based IMUs for wearable motion sensing: SWOT |
|
4.2.16. |
MEMS-based IMUs for wearable motion sensing: Outlook |
|
4.3. |
Motion Sensors: Emerging Applications |
|
4.3.1. |
Overview of emerging use-cases for wearable motion sensors |
|
4.3.2. |
Introduction to telemedicine and remote patient monitoring |
|
4.3.3. |
Motion sensors for remote patient monitoring |
|
4.3.4. |
Wearable respiratory rate monitoring depends on motion sensors |
|
4.3.5. |
Opportunities for motion sensors in remote patient monitoring of cancer performance status |
|
4.3.6. |
Wearable motion sensors play a role in digital physical therapy |
|
4.3.7. |
Motion capture innovation to influence the future of rehabilitation and the prosumer market |
|
4.3.8. |
Introduction to wearable activity monitoring in clinical trials |
|
4.3.9. |
Motion sensors are the most common wearable sensor used within clinical trials |
|
4.3.10. |
Introduction to motion sensors for virtual reality |
|
4.3.11. |
Controllers and sensing connect XR devices to the environment and the user |
|
4.3.12. |
3DoF vs. 6DoF: what motion can my headset track? |
|
4.3.13. |
IMU case study: Microsoft's HoloLens 2 and Occulus/Meta |
|
4.3.14. |
Introduction to wearables for health insurance |
|
4.3.15. |
Biomarker usage in insurance dominated by motion sensing |
|
4.3.16. |
Monitoring activity with motion sensors is rewarded through partnerships with a range of service providers |
|
4.3.17. |
Motion sensor access is crucial across the packages offered by Vitality |
|
4.3.18. |
Health insurance use of motion sensor data expands the market for consumer smart watches |
|
4.4. |
Motion Sensors: Conclusions |
|
4.4.1. |
Wearable motion sensors: Conclusions |
|
4.4.2. |
Wearable Motion Sensors: Outlook |
|
5. |
OPTICAL SENSORS |
|
5.1.1. |
Optical sensors: introduction |
|
5.1.2. |
Optical Sensors: |
|
5.2. |
PPG and Spectroscopy |
|
5.2.1. |
Sensing principle of photoplethysmography (PPG) |
|
5.2.2. |
Applications of photoplethysmography (PPG) |
|
5.2.3. |
Pros and cons of transmission and reflectance modes |
|
5.2.4. |
Key players in PPG hardware and algorithm development |
|
5.2.5. |
SWOT: PPG sensors |
|
5.2.6. |
Introduction to wearable spectroscopy |
|
5.2.7. |
Near-infrared spectroscopy faces challenges from overlapping bands |
|
5.2.8. |
Key players and potential customers for wearable spectroscopy as 'clinic on the wrist' |
|
5.2.9. |
SWOT: Wearable spectroscopy |
|
5.3. |
Optical Sensors: Heart Rate |
|
5.3.1. |
How is heart rate obtained from optical PPG sensors? |
|
5.3.2. |
Wearable heart-rate: Use cases, opportunities and key Players |
|
5.3.3. |
Comparing the remaining opportunities for wearable heart-rate between insurers, clinicians and consumers |
|
5.3.4. |
Specific opportunity for integrated heart-rate sensors within the prosumer market |
|
5.3.5. |
A closer look at wearable heart-rate in clinical trials |
|
5.3.6. |
Roadmap for wearable optical heart-rate sensors |
|
5.3.7. |
Wearable heart-rate sensors (optical): conclusions and outlook |
|
5.3.8. |
Wearable heart-rate sensors (optical): key conclusions |
|
5.4. |
Optical Sensors: Pulse Oximetry |
|
5.4.1. |
Obtaining blood oxygen from PPG |
|
5.4.2. |
Differences in wellness and medical applications of wearable blood oxygen |
|
5.4.3. |
Early adopters of pulse-oximetry in smart-watches |
|
5.4.4. |
Impact of COVID-19 on interest in blood oxygen |
|
5.4.5. |
Blood oxygen contributing to 'in-house' metrics on performance and sleep |
|
5.4.6. |
Wearable pulse oximetry can offer less invasive monitoring of babies and children |
|
5.4.7. |
Market outlook and technology readiness of wearable pulse oximeters |
|
5.4.8. |
Future of pulse oximetry could come in the form of skin patches |
|
5.4.9. |
Cambridge display technology: Pulse oximetry sensing with OPDs |
|
5.4.10. |
Wearable blood oxygen sensors: conclusions and SWOT |
|
5.5. |
Optical Sensors: Blood Pressure |
|
5.5.1. |
Many health conditions are associated with blood pressure generating a large total addressable market |
|
5.5.2. |
Classifying blood pressure |
|
5.5.3. |
Breakdown of wearable brands used for cardiovascular clinical research |
|
5.5.4. |
How do requirements vary for stakeholders in wearable blood pressure technology |
|
5.5.5. |
Incumbent sensor technology: blood pressure cuffs and the oscillometric method |
|
5.5.6. |
Combining pulse metrics to access blood pressure using wearable PPG and ECG |
|
5.5.7. |
PPG Waveform/Pulse Wave Analysis |
|
5.5.8. |
Progress of non-invasive blood pressure sensing |
|
5.5.9. |
Overview of technologies for cuff-less blood pressure |
|
5.5.10. |
Case Study: Valencell - cuff-less, cal-free blood pressure |
|
5.5.11. |
Advantages and limitations for bless pressure hearables. |
|
5.5.12. |
Market outlook and technology readiness of wearable blood pressure |
|
5.5.13. |
Wearable blood pressure : Conclusions and SWOT |
|
5.5.14. |
Wearable blood pressure : key conclusions |
|
5.6. |
Optical Sensors: Non-invasive Glucose Monitoring |
|
5.6.1. |
Scale of the diabetes management industry continues to incentivize development of optical glucose sensors |
|
5.6.2. |
FDA requirements for glucose monitoring |
|
5.6.3. |
Near-Infrared Spectroscopy - Recent academic studies on glucose monitoring |
|
5.6.4. |
Alternative optical approaches to non-invasive glucose monitoring: Mid Infrared and Terahertz Spectroscopy |
|
5.6.5. |
Alternative optical approaches to non-invasive glucose monitoring: Raman spectroscopy and optical rotation |
|
5.6.6. |
Alternative optical approaches to non-invasive glucose monitoring: Dielectric spectroscopy |
|
5.6.7. |
Active companies developing optical methods for glucose monitoring |
|
5.6.8. |
Non-invasive glucose monitoring: approaches |
|
5.6.9. |
Notable Quotes on Non-Invasive Glucose Monitoring |
|
5.6.10. |
Optical glucose sensors: SWOT |
|
5.6.11. |
Optical glucose sensors: conclusions |
|
5.7. |
Optical Sensors: Conclusions |
|
5.7.1. |
Wearable optical sensors: SWOT |
|
5.7.2. |
Optical sensors: conclusions and outlook |
|
6. |
OPTICAL IMAGING |
|
6.1.1. |
Introduction to wearable optical imaging |
|
6.2. |
Optical Imaging: 3D Imaging and Depth Sensors |
|
6.2.1. |
Introduction to 3D imaging in wearables |
|
6.2.2. |
Stereoscopic vision: Utilizing two cameras for depth perception |
|
6.2.3. |
Time of Flight (ToF) cameras for depth sensing |
|
6.2.4. |
Time of Flight Example: Microsoft and Kinect/Hololens |
|
6.2.5. |
Structured light: Established for use in FaceID |
|
6.2.6. |
Structured Light Example: Intel's RealSense™ |
|
6.2.7. |
Application example: motion capture in animation |
|
6.2.8. |
Spectroscopic vision example: Ultraleap |
|
6.2.9. |
Commercial 3D camera examples |
|
6.2.10. |
Comparison of 3D imaging technologies |
|
6.2.11. |
Interim summary: Positional and motion tracking for XR |
|
6.3. |
Optical Imaging: Eye Tracking |
|
6.3.1. |
Why is eye-tracking important for AR/VR devices? |
|
6.3.2. |
Eye-tracking sensor categories |
|
6.3.3. |
Eye-tracking using cameras with machine vision |
|
6.3.4. |
Eye-tracking companies based on conventional/NIR cameras and machine vision software |
|
6.3.5. |
Event-based vision for AR/VR eye-tracking |
|
6.3.6. |
Event-based vision: Pros and cons |
|
6.3.7. |
Importance of software for event-based vision |
|
6.3.8. |
Eye tracking with laser scanning MEMS |
|
6.3.9. |
Capacitive sensing of eye movement |
|
6.3.10. |
Interim summary: Eye-tracking for XR |
|
6.4. |
Optical imaging: Conclusions |
|
6.4.1. |
Optical imaging for wearables: SWOT |
|
6.4.2. |
Optical imaging for wearables: key conclusions |
|
7. |
ELECTRODES |
|
7.1.1. |
Introduction to wearable electrodes |
|
7.2. |
Electrodes: Overview and Key Players |
|
7.2.1. |
Applications and product types |
|
7.2.2. |
Key requirements of wearable electrodes |
|
7.2.3. |
Key players in wearable electrodes |
|
7.2.4. |
Skin patch and e-textile electrode supply chain |
|
7.2.5. |
Increased demand for wearable sensors with electrodes |
|
7.2.6. |
Material suppliers collaboration has enabled large scale trials of wearable skin patches |
|
7.2.7. |
Supplier overview: printed electrodes for skin patches and e-textiles (I) |
|
7.2.8. |
Supplier overview: printed electrodes for skin patches and e-textiles (2) |
|
7.3. |
Electrodes: Types |
|
7.3.1. |
Overview of wearable electrode types |
|
7.4. |
Electrode Types: Wet and Dry |
|
7.4.1. |
Wet vs dry electrodes |
|
7.4.2. |
Wet electrodes: The incumbent technology |
|
7.4.3. |
The role of adhesive in wet electrodes |
|
7.4.4. |
Dry electrodes: A more durable emerging solution |
|
7.4.5. |
Skin patches use both wet and dry electrodes depending on the use-case |
|
7.4.6. |
E-textiles integrate dry electrodes and conductive inks |
|
7.4.7. |
Electrode and sensing functionality woven into textiles |
|
7.4.8. |
E-textile market adoption of conductive inks has peaked |
|
7.4.9. |
SWOT analysis and key conclusions for wet and dry electrodes |
|
7.5. |
Electrode Types: Microneedles |
|
7.5.1. |
Microneedle electrodes |
|
7.5.2. |
Evaluating materials and manufacturing methods for microneedle electrode arrays |
|
7.5.3. |
Researchers are investigating microneedle manufacture via micromolding |
|
7.5.4. |
Flexible microneedle arrays possible with PET substrates |
|
7.5.5. |
Microneedle electrodes less susceptible to noise |
|
7.5.6. |
Global distribution of microneedle array patch developers |
|
7.5.7. |
Outlook for microneedle electrodes |
|
7.6. |
Electrode Types: Electronic Skins |
|
7.6.1. |
Electronic skins (also known as 'epidermal electronics') |
|
7.6.2. |
Materials and manufacturing approaches to electronic skins |
|
7.6.3. |
Skin-inspired electronics in academia (Stanford University) |
|
7.6.4. |
Skin-inspired electronics in academia (VTT/Tampere University) |
|
7.6.5. |
Skin-inspired electronics in academia (Northwestern University) |
|
7.6.6. |
Skin-inspired electronics in academia (University of Tokyo) (I) |
|
7.6.7. |
Skin-inspired electronics in academia (University of Tokyo) (II) |
|
7.6.8. |
Outlook for electronic skins |
|
7.7. |
Electrodes: Application Trends |
|
7.7.1. |
Wearable electrodes: Applications and product types |
|
7.8. |
Electrode Application Trends: Biopotential - ECG |
|
7.8.1. |
Introduction: Measuring biopotential |
|
7.8.2. |
Introduction: electrocardiography (ECG, or EKG) |
|
7.8.3. |
Arrythmia detection is a key use-case for ECG with opportunities for wet and dry electrodes |
|
7.8.4. |
Diagnosis process for atrial fibrillation and other arrhythmias most reduced via implantables |
|
7.8.5. |
Skin patches solve ECG monitoring pain points |
|
7.8.6. |
Cardiac monitoring skin patches: device types |
|
7.8.7. |
Cardiac monitoring device types: Advantages and disadvantages |
|
7.8.8. |
Reimbursement codes for wearable cardiac monitors |
|
7.8.9. |
Key players: Skin patches/Holter for ECG |
|
7.8.10. |
Cardiac monitoring players and devices |
|
7.8.11. |
Wrist-worn ECG struggles to compete with the 12-lead gold standard |
|
7.8.12. |
E-textile integrated ECG predominantly used in extreme environments with new market opportunities emerging |
|
7.8.13. |
Summary and outlook for wearable ECG |
|
7.9. |
Electrode Application Trends: Biopotential - EEG |
|
7.9.1. |
Electroencephalography (EEG) |
|
7.9.2. |
Key players and applications of wearable EEG |
|
7.9.3. |
Clinical market: wet electrodes create a pain point for epilepsy patients and an opportunity for new materials and wearables |
|
7.9.4. |
Hearable EEG for seizure prediction closing in on FDA approval |
|
7.9.5. |
Sleep market for EEG in competition with the wider sleep-tech sector |
|
7.9.6. |
Easier access to emotion monitoring expands the opportunity within marketing |
|
7.9.7. |
Advanced brain computer interfaces will be implantable before they are wearable |
|
7.9.8. |
An opportunity for EEG in virtual reality |
|
7.9.9. |
Summary and outlook for wearable EEG |
|
7.10. |
Electrode Application Trends: Biopotential - EMG |
|
7.10.1. |
Introduction to Electromyography (EMG) |
|
7.10.2. |
Investment in EMG for virtual reality and neural interfacing is increasing |
|
7.10.3. |
Key players and applications of wearable EMG |
|
7.10.4. |
Opportunities in the prosumer market for EMG integrated e-textiles |
|
7.10.5. |
Meta's prototype EMG wristband measures finger position with mm resolution for human machine interface |
|
7.10.6. |
Summary and outlook for EMG |
|
7.10.7. |
Outlook for wearable biopotential in XR/AR |
|
7.10.8. |
Electrodes: Application Trends: Bioimpedance |
|
7.11. |
Bioimpedance: An introduction |
|
7.11.1. |
Technology overview - Galvanic skin response (GSR) |
|
7.11.2. |
GSR algorithms: Managing noise and other errors |
|
7.11.3. |
GSR algorithms: Data interpretation challenges |
|
7.11.4. |
Commercialised GSR Devices |
|
7.11.5. |
Bioimpedance also enables hydration monitoring |
|
7.11.6. |
Summary and outlook for bioimpedance/GSR |
|
7.12. |
Electrodes: Conclusions |
|
7.12.1. |
Consolidated SWOT of wearable electrodes |
|
7.12.2. |
Wearable electrodes: conclusions and outlook |
|
8. |
FORCE AND STRAIN SENSORS |
|
8.1.1. |
Introduction to wearable force and strain sensing |
|
8.2. |
Force Sensors |
|
8.2.1. |
Force sensing with piezoresistive materials |
|
8.2.2. |
Thin film pressure sensor architectures |
|
8.2.3. |
Smart insoles are the main application for printed pressure sensors |
|
8.2.4. |
Smart insoles target both fitness and medical applications |
|
8.2.5. |
Movesole outlines durability challenges for smart insoles |
|
8.2.6. |
Sensoria integrates pressure sensors into a sock rather than an insole |
|
8.2.7. |
Force sensing with piezoelectric materials |
|
8.2.8. |
Piezoelectric pressure sensors restricted to niche applications |
|
8.2.9. |
Novel wearable pressure sensor technologies struggle to gain traction |
|
8.2.10. |
Intervention pathways depend on temperature sensors and RPM integration |
|
8.2.11. |
Mapping the wearable force sensor landscape |
|
8.2.12. |
Outlook for wearable force/pressure sensors |
|
8.3. |
Strain Sensors |
|
8.3.1. |
Competing approaches to wearable strain sensing |
|
8.3.2. |
Capacitive strain sensors |
|
8.3.3. |
Use of dielectric electroactive polymers (EAPs) |
|
8.3.4. |
Strain sensitive e-textiles utilized in gloves |
|
8.3.5. |
Capacitive strain sensors integrated into clothing |
|
8.3.6. |
Resistive strain sensors |
|
8.3.7. |
Karlsruhe Institute for Technology develop 3D printed soft electronics for strain sensing |
|
8.3.8. |
Liquid Wire develops wearable strain sensors based on liquid metal gel |
|
8.3.9. |
Strain sensor examples: BeBop Sensors |
|
8.3.10. |
Mapping the wearable force sensor landscape |
|
8.3.11. |
Outlook for wearable strain sensors |
|
9. |
TEMPERATURE SENSORS |
|
9.1. |
Two main roles for temperature sensors in wearables |
|
9.2. |
Incumbent methods for measuring core body temperature are invasive |
|
9.3. |
Key players, form factors and applications for wearable body temperature sensors |
|
9.4. |
Types of temperature sensor |
|
9.5. |
Success for wearable temperature requires both accuracy and continuous monitoring capabilities. |
|
9.6. |
Wearable temperature sensor utilized as route to market for flexible batteries |
|
9.7. |
Emerging approaches utilising NIR spectroscopy |
|
9.8. |
Flexible wearable temperature sensing (PST Sensors) |
|
9.9. |
Mapping the wearable temperature sensor landscape |
|
9.10. |
Summary of wearable temperature sensors: SWOT |
|
9.11. |
Summary of key conclusions for wearable temperature sensors |
|
10. |
CHEMICAL SENSORS |
|
10.1.1. |
Chemical sensors: Chapter overview |
|
10.1.2. |
Chemical sensing: An introduction |
|
10.1.3. |
Selectivity and signal transduction |
|
10.1.4. |
Analyte selection and availability |
|
10.1.5. |
Optical chemical sensors |
|
10.2. |
Chemical Sensors: Continuous Glucose Monitoring (Interstitial CGM) |
|
10.2.1. |
Introduction to diabetes management |
|
10.2.2. |
Introduction to continuous glucose monitors |
|
10.2.3. |
Operating principle typical CGM device |
|
10.2.4. |
Sensing principle of commercial CGM |
|
10.2.5. |
CGM sensor chemistry |
|
10.2.6. |
CGM technologies: glucose dehydrogenase |
|
10.2.7. |
CGM miniaturization and "green" diabetes |
|
10.2.8. |
CGM sensor manufacturing and anatomy |
|
10.2.9. |
Sensor filament structure |
|
10.2.10. |
Foreign body responses to CGM devices |
|
10.2.11. |
Calibration of glucose monitoring devices |
|
10.2.12. |
Interference of medication with CGM accuracy |
|
10.2.13. |
Comparison metrics for CGM devices |
|
10.2.14. |
CGM: Overview of key players |
|
10.2.15. |
Market share in 2019 (revenue) |
|
10.2.16. |
Example: Accuracy of CGM devices over time |
|
10.2.17. |
SWOT analysis of interstitial sensors for CGM |
|
10.3. |
Chemical Sensors: Non-invasive Glucose Monitoring |
|
10.3.1. |
Measuring glucose in sweat |
|
10.3.2. |
Measuring glucose in tears |
|
10.3.3. |
Measuring glucose in saliva |
|
10.3.4. |
Measuring glucose in breath |
|
10.3.5. |
Measuring glucose in urine |
|
10.3.6. |
SWOT analysis of non-invasive chemical sensors |
|
10.4. |
Chemical Sensors: Conclusions |
|
10.4.1. |
SWOT: Chemical glucose sensors |
|
10.4.2. |
Companies using each technique (other fluids) |
|
10.4.3. |
Roadmap of chemical wearable sensors for glucose sensing |
|
11. |
NOVEL BIOSENSORS |
|
11.1.1. |
Introduction to novel biometrics and methods |
|
11.2. |
Novel Biosensors: Emerging Biometrics |
|
11.2.1. |
Use-cases, stakeholders, key players and SWOT analysis of wearable alcohol sensors |
|
11.2.2. |
Use-cases, stakeholders, key players and SWOT analysis of wearable lactate/lactic acid sensors |
|
11.2.3. |
Use-cases, stakeholders, key players and SWOT analysis of wearable hydration sensors |
|
11.3. |
Novel Biosensors: Emerging Sensing Methods |
|
11.3.1. |
Urine sensors in smart diapers seeking orders from elderly care providers |
|
11.3.2. |
Ultrasound imaging could provide longer term competition to optical imaging. |
|
11.3.3. |
Wearable sensing potential of microneedles for fluid sampling depends on scale up of manufacturing methods |
|
11.3.4. |
'Clinic on the Wrist' and 'Lab on Skin' competing to replace multiple diagnostic tests and monitor vital signs |
|
11.4. |
Novel Biosensors: Conclusions |
|
11.4.1. |
Market readiness of wearable sensors for novel biometrics |
|
11.4.2. |
Conclusions and outlook: Wearable sensors for novel biometrics |
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