Prospect of Smart Home-Based Detection of Subclinical Depressive Disorders

Abstract

Aging is associated with changing physical, social, emotional, and financial circumstances that are often new to the elder. The affective distress that stems from coping with them could play a negative effect on the health of seniors and lead to severe cases of depression, an emotional disorder that could lead to fatal consequences.

Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision System

“…They collected data from 50 patients from hospitals in Bangladesh. Leon et al [ 51 ] proposed the SENTIENT project to identify early signs of depressive disorders in senior householders to ease affective support and care. A systematic review concluded that SHs influence senior users’ QoL, but low technology readiness requires diversification [ 52 ].…”

“…The depression disorders at SHs are currently oriented to the senior householders [ 20 , 39 , 50 , 51 , 52 , 53 ]; however, depression affects all of us [ 1 , 2 ]. Hence, experts need to diagnose the depression disorder; questionnaires as the PHQ-9 help spot any depressive symptomatology as a pre-diagnosis.…”

Towards Truly Affective AAL Systems

“…In [105], an algorithm has been designed for automatic recognition of such condition; it can help a patient to self-regulate as well as it notifies medical staff of the user's health state. Physical diseases are particularly closely related to emotions when dealing with older adults and yet it is one of the groups that are susceptible towards depression; for this reason, a solution called a SENTIENT has been developed [106]. It monitors a user with the aim to detect negative or positive emotional valence in real-time thus enabling detecting and curing depression at its early stages.…”

Hígia: Um modelo para cuidado ubíquo de pessoas com depressão

“…Sentient [6] utiliza dados de SMS, informações de músicas ouvidas pelos usuários e informações de chamadas, bem como a duração de todas estas atividades, enquanto o iSpace [6] monitora os batimentos cardíacos do paciente relacionando as atividades com as reações do mesmo. Isso torna bem interessante a visibilidade da doença, podendo-se encontrar pontos de relação entre o paciente e as atividades que ele realiza em momentos mais tendenciosos.…”

“…No iSpace o principal diferencial é a roupa com transmissores capazes de detectar algo com base no estado emocional da pessoa que a utiliza. O X-Vest utiliza um algoritmo de detecção de valência emocional baseado em frequência cardíaca e pressão do volume do sangue [6].…”