TECHNOLOGY-BASED EVALUATION IN PARKINSONISM

Selvin Balki; Emine Nacar; Rabia Seva Özkan; Merve Karakurt

doi:10.7197/cmj.1512299

EN TR

TECHNOLOGY-BASED EVALUATION IN PARKINSONISM

Abstract

Parkinson's disease is a neurodegenerative disorder characterized by motor and non-motor symptoms that worsen over time. Today, traditional clinical assessment methods are used to monitor disease progression and evaluate treatment responses. However, these methods are subjective and may fail to measure specific conditions. In recent years, thanks to advances in wearable technologies, smart sensors, and data analysis, technology-based approaches to the assessment of patients with Parkinson's disease have gained more attention. With these technologies, objective data can be obtained by monitoring patients' daily activities, motor functions, and symptoms. Motor symptoms such as tremor severity, rigidity, bradykinesia, postural instabilities, freezing phenomenon, and motor parameters of speech impairment can be objectively measured through these technologies. Furthermore, the ability to remotely transmit these data allows patients to be assessed in their own homes and provides continuous feedback to healthcare professionals. This review highlights the importance and potential of technology-based assessment methods in Parkinson's patients and aims to guide future research.

Keywords

PARKİNSONDA TEKNOLOJİK TABANLI DEĞERLENDİRME

Öz

Parkinson hastalığı, motor ve motor olmayan semptomlarla karakterize nörodejeneratif bir hastalıktır ve bu semptomlar zaman içinde kötüleşir. Günümüzde hastalığın ilerleyişini izlemek ve tedavi yanıtlarını değerlendirmek için geleneksel klinik değerlendirme yöntemleri kullanılmaktadır. Ancak bu yöntemler subjektiftir ve belirli durumları ölçmede yetersiz kalabilir. Son yıllarda, giyilebilir teknolojiler, akıllı sensörler ve veri analizindeki ilerlemeler sayesinde parkinson hastalarının değerlendirilmesinde teknolojik tabanlı yaklaşımlar daha fazla dikkat çekmektedir. Bu teknolojiler sayesinde hastaların günlük aktiviteleri, motor fonksiyonları ve semptomları izlenilerek objektif veriler elde edilebilir. Tremor şiddeti, rijidite, bradikinezi, postüral instabiliteler, donma fenomeni ve konuşma bozukluğunun motor parametreleri gibi motor semptomlar bu teknolojiler aracılığıyla objektif olarak ölçülebilir. Ayrıca, bu verilerin uzaktan aktarılabilmesi, hastaların kendi evlerinde değerlendirilebilmesine olanak tanır ve sağlık uzmanlarına sürekli geri bildirim sağlar. Bu derleme, parkinson hastalarında teknolojik tabanlı değerlendirme yöntemlerinin önemini ve potansiyelini vurgulamakta ve gelecekteki araştırmalara rehberlik etmeyi amaçlamaktadır.

Anahtar Kelimeler

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