Features | Actiwatch®AW-16
and AW-64 Activity level is recognized as a valuable indicator for medical problems and can provide answers to many research questions. Activity levels correlate with sleep/wake patterns, pain level, mood, energy expenditure, fatigue/alertness and other quantifiable parameters. An Actiwatch actigraph also provides an objective record for tracking and documenting normal and abnormal sleep/wake patterns and PLMS. Two examples of the use of the Actiwatch are: Sleep/Wake Patterns and General Activity Level When worn on the wrist, an Actiwatch actigraph can generate an Activity record like the one shown below to be used as a tool to document:
Periodic Limb Movement in Sleep (PLMS)
AW-16 & AW-64: Actigraphs with Integral Event MarkerThese are the standard Actiwatch actigraph models. Actiwatch-16s and -64s both have an event marker button that allows for the wearer to log events of significance at the time they occur in the data record. Most often this feature is used to depict Bed Times and Get up Times. Like all of our Actiwatches, they use actigraphy principles to record activity information and can be used for monitoring sleep quality. The AW-64 is the actigraphy device of choice for diagnosing insomnia and documenting circadian rhythms disorders. Note: The AW-64 Actiwatch is the only model for use with Actiware-PLM Software
AW-L Actigraph with Integrated Light SensorThe Actiwatch-L actigraph has a small, very high performance light sensor integrated into its case in place of an event marker. With each activity record that is recorded, the light level is also recorded in Lux. Like all of our Actiwatches, the AW-L uses actigraphy principles to record activity information and can be used to analyze sleep quality. The AW-L may be used to verify time, length and frequency of treatments for SAD patients (Seasonal Affective Disorder). These values may be correlated with changes in sleep/wake patterns from the actigraphy record.
AW-Score Actigraph with Subjective ScoringLike all of our Actiwatches, the AW-Score actigraph uses actigraphy principles to record activity information and can be used to analyze sleep quality. In addition to the objective activity data, Actiwatch-Score allows for recording subjective scores for any parameter that can be classified from 0-15 (scale is programmable), providing a strong enhancement to Patient Diaries. The unique combination of activity and scoring provides an excellent way to correlate activity with other subjective data normally collected by a patient diary. It can also be used to document the effectiveness of interventions on conditions of interest. The Actiwatch-Score includes a programmable alarm to prompt the patient to enter a quantifiable score. Alarms can be set to a schedule or to sound at random intervals.
AW for AnimalsActiwatch and Actical activity monitors provide an easy way to obtain, analyze and graph long-term data on the activity patterns of your multiply-housed or free-ranging research animals. Changes in activity can be a useful indicator of an animal's response to food, drugs, pain, health or well-being or other conditions. It's also useful to study activity patterns relative to observed behavior and correlate the two. Future activity analysis can indicate with confidence what activities were taking place for a particular time and duration. Changes in sleep patterns can also provide great insight into an animal's response to various inputs or mental health. Changes in nutrition, exercise, pain and state of mind all can affect sleep quality.
A new aluminum protective housing is available in two versions: one works with dog-style soft collars and the other version works with selected “Primate Products” collars for use with non-human primates. This housing works equally well with either our Actiwatch or Animal Actical product. Selected applications are pictured below:
SoftwareActical Software gives you a number of ways to look at your data. Here are just a few of them:
Actical Energy (Caloric) Expenditure Analysis Heil, D.P. and N.J. Klippel. Validation of energy expenditure prediction algorithms in adults using the Actical electronic activity monitor. Medicine and Science in Sports and Exercise 35(5):S285, 2003
Actical Activity Analysis
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