E-Health

Block Detection associated with Parkinson’s Disease

Problem

  • According to World Health Organization:
    • Falls are the second cause of death from unintentional or accidental injuries.
    • Non-fatal falls require medical attention. In many cases, they cause permanent disability.
    • Cost per fall is around 3,200 EUR (EU-27). Costs incurred by relatives for absenteeism, caregivers, orthopedic aids, etc. are estimated at 43 million EUR.
  • In the case of Parkinson's Disease (PD), falls are because of the people instability.
  • People with PD suffer Freezing of Gait (FoG) since first motoric symptoms occur. These episodes are brief and intermittent, and get rid of walking.
  • FoG appears at the start of the gait or changes in it (changing the speed, direction, walking in tight spaces, etc.).
  • FoG are the greatest loss of autonomy of people with PD, since in many cases, it results in a fall.

Solution

Presence Sensor

Wereables

Wireless Access point

Collects and analyzes data in real time

  • At Eris Innovation we propose the use of wearables for detecting patient movements.
    • FoG is an atypical movement which could be visually discerned of normal gait.
    • FoG has a unique range of frequency.
  • These movements will be sent through a Wireless way to a data sink, which will pre-process them for defining an ideal set of characteristics.
  • These characteristics will be used for implementing a classification algorithm thought machine learning techniques.
  • This algorithm will detect the beginning of the FoG in advance. It is stored in data sink.

EDentia

Early detection of cognitive impairment

Problem

  • Dementia may occur associated to some diseases, such as Alzheimer, vascular dementia, dementia with Lewy bodies, Parkinson's disease, etc.
  • Average costs of dementia in Spain are 19,245 EUR per patient per year, taking into account costs of care, non-health costs and informal care.
  • The most prevalent disease in this area is Alzheimer's. It rises 50% of people with dementia:
    • Early detection is very important for applying treatments.
    • This early treatment delays symptomatic disease progression.
    • Delaying theses symptoms, quality of life of patients and caregivers is improved, reducing, in turn, costs of health care.
  • Cognitive decline appears before the development of dementia.
    • First, mild cognitive impairment (MCI) is appeared. Usually, this is not diagnosed.
    • The diagnosis of MCI in early stages is important in order to try the prevent the appearance of dementia.
    • Patients and caregivers tend to attribute these symptoms to normal course of aging, but it could hide other deeper diseases, like Alzheimer.
    • Regularly, people have a disappointment with neurologist when symptoms are very pronounced. Neurologist makes an interview with patient and diagnoses him.
    • This cognitive decline is classified according to Clinical Dementia Rating (CDR).

Solution

User device (PC, smartphone, …)

Wireless access point

Results

Collects and analyzes data in real time

Clinical data

  • Eris Innovation proposes cognitive assessment by using ICT.
  • Patient uses a connected device:
    • The interview would make using a friendly app without the mediation of the neurologist.
    • Interview results will be insert with clinical data of patient
    • The result of cognitive decline would be classified according CDR.
    • Results, in case of cognitive decline detection, will be accessed by neurologist.
  • Using this solution, we may make an early diagnoses of cognitive decline, improving the quality of life of patients.
  • It would be a very feasible solution oriented to home for the elderly, both public and private. Also, it could be used at community health center.