by Rosabel Zohfeld, APRN, MSN-Ed, FNP-C
I recently came across an article about how Apple Watch is making progress in identifying and helping the medical community understand if the treatments for Parkinson's are working.
According to new studies, data from a smartwatch could also help predict Parkinson's disease up to seven years before symptoms begin occurring. Researchers believe that Artificial intelligence (AI)
could help screen for the disease earlier than current methods allow. An earlier diagnosis of Parkinson's' disease can be crucial. Early symptoms of Parkinson's include tremors, loss of smell, and trouble walking or moving.
Through Apple's open-source ResearchKit APIs and Research app for iOS, these tools, when used in conjunction with Apple Watch, can help doctors and researchers detect and treat Parkinson's and other diseases.
StrivePD, in Integration with HealthKit and the use of Apple Watch, provides passive metrics that augment self-reported logs for a holistic view and daily healthcare journey.
It helps to visualize tremors and dyskinesia detected by the Apple Watch.
Browse interactive charts to review symptom data over time and in the context of your medications and physical activities.
Track daily physical activities to help reach weekly fitness goals
Explore logged medications, symptoms, activities, and influences together over the day in an easy-to-read chart view
Activity Tracking: Apple Watch and other smartwatches can monitor physical activity, such as steps taken and distance covered. Individuals with Parkinson's can benefit from tracking their activity levels to ensure they stay active, essential for maintaining mobility and overall health.
Fall Detection: Apple Watch has a fall detection feature that automatically calls for help if it detects a fall—people with Parkinson's may have an increased risk of falls.
Heart Rate Monitoring: Smartwatches like the Apple Watch can continuously monitor heart rate. Changes in heart rate may provide insights into the progression of Parkinson's disease or the effectiveness of medications.
Voice and Speech Analysis: Parkinson's disease can affect speech and vocal patterns. Some researchers have explored using smartwatches to analyze voice data for early signs of the illness or monitor its progression.
Medication Reminders:
Smartwatches can be programmed to provide medication reminders for individuals with Parkinson's disease. Particularly help to manage medication schedule and establish good logging habits to review changes over time. Patients with Parkinson's require precise timing for the medication.
Gait and Balance Analysis: Some studies have explored using accelerometers in smartwatches to analyze gait and balance, which are affected in Parkinson's patients. Changes in parameters can be indicative of the disease's progression.
Tremor Monitoring: While not as accurate as clinical assessments, smartwatches with motion sensors can track hand tremors to a certain extent, providing a tool for self-monitoring and sharing data with healthcare providers.
Sleep Tracking: Sleep disturbances are common in Parkinson's disease. Smartwatches can track sleep patterns, helping individuals and their doctors understand and address sleep issues.
Continuous health monitoring throughout the day is crucial for Parkinson's. Parkinson's symptoms don't always manifest in clinical settings.
While the Apple Watch and other smartwatches continue to be explored for their potential to assist in the early diagnosis and monitoring of Parkinson's disease, they are not intended as a diagnostic tools.
It's important to note that while these features can be helpful for individuals with Parkinson's disease, they are not a substitute for professional medical evaluation and diagnosis. Suppose you or someone you know is exhibiting symptoms of Parkinson's disease. In that case, it's crucial to consult with a neurologist or a healthcare professional for a thorough assessment and an accurate diagnosis. Smartwatches and other wearable devices can complement traditional medical care by providing additional data and insights, but they should not be relied upon for a definitive diagnosis of Parkinson's disease.