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SUMMARY:Where next with wearables: An overview\, with examples analysing U
 K Biobank accelerometery data and real-time machine learning on brain data
  - Alex Casson\, University of Manchester
DTSTART:20240206T160000Z
DTEND:20240206T170000Z
UID:TALK203653@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:Abstract: Wearable devices\, allowing the monitoring of a wide
  range of physiological parameters\, are having a transformative impact on
  health and wellbeing applications. We are now able to collect longitudina
 l data in a way never previously possible. At the same time\, current wear
 ables have a wide range of open opportunities for making them even better\
 , from improving accuracy\, to improving comfort\, to embedding real-time 
 machine learning bases analyses. This talk will provide an overview of the
 se different topics. It will start with a high level overview and roadmap 
 for future wearable hardware\, with particular emphasis on advances being 
 enabled by emerging flexible electronics. I will then present two examples
  of our work on data science and machine learning applied to wearable data
 . Example 1 will focus on the analysis of the 100\,000 accelerometer data 
 records in the UK Biobank\, investigating how activity patterns vary acros
 s this large cohort and how we can use this to inform the design for futur
 e wearables. Example 2 will focus on real-time machine learning applied to
  wearable brain (EEG) data. I will overview a deep autoencoder based appro
 ach for removing artefacts that operates using neural network delegates on
  a smartphone based platform to substantially out-perform previous artefac
 t removal approaches for real-time application. \n\nBiography: Alex Casson
  is Professor of Biomedical Engineering at the University of Manchester. H
 e is a specialist in non-invasive bioelectronic interfaces: the design and
  application of wearable sensors\, and skin-conformal flexible sensors\, f
 or human body monitoring and data analysis from highly artefact prone natu
 ralistic situations. This work is highly multi-disciplinary\, spanning ult
 ra-low power sensing\, signal processing and machine learning in power con
 strained rich environments\, and real-time data analysis towards closed lo
 op systems for remote monitoring and digital therapeutics. He has research
  experience in:\n\n   - Manufacturing using 3D printing\, screen printing\
 , and inkjet printing.\n\n   - Ultra low power microelectronic circuit and
  system design at the discrete and fully custom microchip levels.\n\n   - 
 Sensor signal processing and machine learning for power and time constrain
 ed motion artefact rich environments.\n\n   - Using bespoke and off-the-sh
 elf wearable devices in a wide range of environments.\n\nProfessor Casson
 ’s ultra low power sensors work is mainly for health and wellness applic
 ations\, with a strong background in brain interfacing (EEG and transcrani
 al current stimulation) and heart monitoring. Applications focus on both m
 ental health situations including chronic pain\, sleep disorders\, and aut
 ism\, and physical health/rehabilitation applications including diabetic f
 oot ulceration\, and chronic kidney disease. He has particular interests i
 n closed loop systems: those which are tailored to the individual by perso
 nalised manufacturing via printing\; and tailored to the individual by adj
 usting non-invasive stimulation (light\, sound\, electrical current) using
  data driven responses/outputs from real-time signal processing.\nProfesso
 r Casson has cross-disciplinary appointments to support this work. He is a
  Professor in the School of Engineering at the University of Manchester\; 
 Visiting Reader (2022-2024) in School of Medicine at the University of Lee
 ds\; and Honorary Reader (2022-2024) in the Medical Physics Department at 
 Northern Care Alliance NHS Foundation Trust. He is a Future Leader in Inno
 vation\, Enterprise and Research (FLIER) for the Academy of Medical Scienc
 es (2022-2024)\, Bioelectronics technology platform lead for the Henry Roy
 ce Institute\, and a Fellow of the Alan Turing Institute (2021-2023). Prof
 essor Casson is currently a Senior Member of the IEEE and Fellow of the Hi
 gher Education Academy. He is a past chair of the IET Healthcare Technolog
 ies Network\, and the Biomedical Engineering joint steering group.\n\nProf
 essor Casson gained his undergraduate degree from the University of Oxford
  where he read Engineering Science specialising in Electronic Engineering 
 (MEng). He completed his PhD from Imperial College London\, winning the pr
 ize for best doctoral thesis in electrical and electronic engineering. Pro
 fessor Casson worked as a research associate and research fellow at Imperi
 al College until 2013 when he joined the faculty at the University of Manc
 hester.
LOCATION:Computer Lab\, FW26 and Online
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